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AI Model Comparison

Compare pricing, benchmarks, and capabilities across 605 AI models

605 models tracked9 open source
AllLanguage ModelsText → ImageText → VideoText → SpeechImage → Video
Type
AllProprietaryOpen Source
Provider
AllAI21 LabsAlibabaAlibaba CloudAllen Institute for AIAmazonAnthropicArcee AIBaiduByteDance SeedCartesiaChina MobileCohereCoquiDatabricksDeep CogitoDeepSeekElevenLabsFish AudioGoogleGoogle DeepMindGradiumHume AIIBMInceptionInclusionAIInworldKimiKlingAIKokoroKorea TelecomKwaiKATLG AI ResearchLMNTLiquid AILongCatMBZUAI Institute of Foundation ModelsMaya ResearchMetaMeta AIMetaVoiceMicrosoftMiniMaxMistralMistral AIMotif TechnologiesMurf AINVIDIANanbeigeNaverNeuphonicNous ResearchOpenAIOpenChatOpenVoicePerplexityPrime IntellectReka AIResemble AIRimeSarvamServiceNowSmallest.aiSnowflakeSpeechifyStepFunStyleTTS Swiss AI InitiativeTIITII UAETencentTrillion LabsUpstageXiaomiZ AIZyphraasyncxAI
Price
AnyFree<$1/M<$5/M<$20/M
Sort
Best BenchmarkCheapest FirstMost ExpensiveLargest ContextFastest
ModelProviderInput $/1M↕Output $/1M↕Context↕Intelligence↑Speed↕LatencyAPI
DeepSeek R2
★
DeepSeek$0.55$2.19128K
91%
60 tok/s—
GPT-4.1
★
OpenAI$2$81M
90.5%
80 tok/s—
Claude Opus 4.6
★
Anthropic$15$75200K
88.7%
60 tok/s—
GPT-4o
★
OpenAI$5$15128K
87.2%
120 tok/s—
Claude Sonnet 4.6
★
Anthropic$3$15200K
86.8%
100 tok/s—
Llama 3.3 70B
Open★
Meta AI$0.23$0.92128K
86%
80 tok/s—
o3
OpenAI$10$40200K
96.7%
40 tok/s—
o4-mini
OpenAI$1.1$4.4200K
93.4%
100 tok/s—
Gemini 3 Ultra
Google DeepMind$7$211M
90.1%
70 tok/s—
Gemini 3 Pro Preview (low)
Google———
41.3
——
Claude Opus 4.5 (Reasoning)
Anthropic———
49.7
70 tok/s13.9s
Gemini 3 Flash Preview (Reasoning)
Google———
46.4
203 tok/s6.4s
Claude Opus 4.5 (Non-reasoning)
Anthropic———
43.1
58 tok/s1.2s
DeepSeek V3
Open
DeepSeek$0.27$1.1128K
88.5%
80 tok/s—
MiniMax-M2.1
MiniMax———
39.4
85 tok/s1.1s
Claude 4.1 Opus (Reasoning)
Anthropic———
42
36 tok/s9.3s
Claude 4.5 Sonnet (Reasoning)
Anthropic———
43
46 tok/s11.3s
Grok 3
xAI$3$15131K
87.5%
90 tok/s—
Llama 3.1 405B
Open
Meta AI$3$3128K
87.3%
30 tok/s—
Grok 4
xAI———
41.5
44 tok/s15.3s
Gemini 3 Pro
Google DeepMind$3.5$10.51M
87%
100 tok/s—
GPT-5.2 (xhigh)
OpenAI———
51.3
80 tok/s91.1s
GPT-5 (high)
OpenAI———
44.6
88 tok/s102.1s
GPT-5.1 (high)
OpenAI———
47.7
168 tok/s21.6s
GPT-5 Codex (high)
OpenAI———
44.6
178 tok/s5.6s
GPT-5 (medium)
OpenAI———
42
84 tok/s45.4s
Qwen3-Max
Alibaba Cloud$0.4$1.232K
87%
90 tok/s—
Claude 4 Opus (Reasoning)
Anthropic———
39
35 tok/s7.6s
DeepSeek V3.2 (Reasoning)
DeepSeek———
41.7
——
Gemini 2.5 Pro
Google———
34.6
135 tok/s20.0s
Claude 4.5 Sonnet (Non-reasoning)
Anthropic———
37.1
46 tok/s0.9s
Claude 4 Opus (Non-reasoning)
Anthropic———
33
36 tok/s1.6s
Gemini 2.5 Pro Preview (Mar' 25)
Google———
30.3
——
GLM-4.7 (Reasoning)
Z AI———
42.1
106 tok/s0.7s
GPT-5.2 (medium)
OpenAI———
46.6
——
GPT-5.1 Codex (high)
OpenAI———
43.1
196 tok/s5.9s
DeepSeek V3.2 Speciale
DeepSeek———
29.4
——
GPT-5 (low)
OpenAI———
39.2
73 tok/s13.5s
Cogito v2.1 (Reasoning)
Deep Cogito———
85%
86 tok/s0.5s
Grok 4.1 Fast (Reasoning)
xAI———
38.6
88 tok/s20.1s
DeepSeek V3.1 (Reasoning)
DeepSeek———
27.7
——
Qwen3-72B
Open
Alibaba CloudFreeFree32K
85%
100 tok/s—
DeepSeek V3.2 Exp (Reasoning)
DeepSeek———
32.9
——
Grok 4 Fast (Reasoning)
xAI———
35.1
92 tok/s9.0s
DeepSeek R1 0528 (May '25)
DeepSeek———
27.1
——
Kimi K2 Thinking
Kimi———
40.9
107 tok/s0.9s
DeepSeek V3.1 Terminus (Reasoning)
DeepSeek———
33.9
——
Doubao Seed Code
ByteDance Seed———
33.5
——
Phi-4
Open
Microsoft$0.07$0.1416K
84.8%
300 tok/s—
Qwen3 235B A22B 2507 (Reasoning)
Alibaba———
29.5
58 tok/s1.2s
GLM-4.5 (Reasoning)
Z AI———
26.4
42 tok/s1.2s
o1
OpenAI———
30.8
108 tok/s20.4s
Gemini 2.5 Flash Preview (Sep '25) (Reasoning)
Google———
31.1
——
Qwen3 Max (Preview)
Alibaba———
26.1
45 tok/s1.7s
K-EXAONE (Reasoning)
LG AI Research———
32.1
——
Claude 4 Sonnet (Non-reasoning)
Anthropic———
33
47 tok/s0.8s
Mistral Large
Mistral AI$2$6128K
84%
90 tok/s—
Claude 4 Sonnet (Reasoning)
Anthropic———
38.7
50 tok/s12.5s
DeepSeek V3.2 (Non-reasoning)
DeepSeek———
32.1
——
DeepSeek R1 (Jan '25)
DeepSeek———
18.8
——
DeepSeek V3.1 Terminus (Non-reasoning)
DeepSeek———
28.5
——
DeepSeek V3.2 Exp (Non-reasoning)
DeepSeek———
28.4
——
GPT-5 mini (high)
OpenAI———
41.2
85 tok/s116.6s
Claude 3.7 Sonnet (Reasoning)
Anthropic———
34.7
——
MiMo-V2-Flash (Reasoning)
Xiaomi———
39.2
140 tok/s1.6s
Gemini 2.5 Pro Preview (May' 25)
Google———
29.5
——
Qwen3 VL 235B A22B (Reasoning)
Alibaba———
27.6
38 tok/s1.2s
Gemini 2.5 Flash Preview (Sep '25) (Non-reasoning)
Google———
25.7
——
Nova 2.0 Pro Preview (medium)
Amazon———
35.7
155 tok/s19.7s
Hermes 4 - Llama-3.1 405B (Reasoning)
Nous Research———
18.6
——
Grok 3 mini Reasoning (high)
xAI———
32.1
191 tok/s0.4s
GLM-4.6 (Reasoning)
Z AI———
32.5
38 tok/s0.8s
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)
NVIDIA———
15
41 tok/s0.7s
DeepSeek V3.1 (Non-reasoning)
DeepSeek———
28.1
——
Gemini 2.5 Flash (Reasoning)
Google———
27
246 tok/s14.3s
Qwen3 235B A22B 2507 Instruct
Alibaba———
25
66 tok/s1.1s
Qwen3 235B A22B (Reasoning)
Alibaba———
19.8
61 tok/s1.2s
GPT-5 mini (medium)
OpenAI———
38.9
98 tok/s20.5s
ERNIE 5.0 Thinking Preview
Baidu———
29.1
——
Grok 3 Mini
xAI$0.3$0.5131K
83%
160 tok/s—
Kimi K2 0905
Kimi———
30.9
16 tok/s1.9s
INTELLECT-3
Prime Intellect———
22.2
——
Qwen3 VL 32B (Reasoning)
Alibaba———
24.7
96 tok/s1.3s
GLM-4.5-Air
Z AI———
23.2
58 tok/s1.5s
EXAONE 4.0 32B (Reasoning)
LG AI Research———
16.7
——
Seed-OSS-36B-Instruct
ByteDance Seed———
25.2
37 tok/s1.7s
Qwen3 Max Thinking (Preview)
Alibaba———
32.5
42 tok/s1.8s
GPT-5.1 Codex mini (high)
OpenAI———
38.6
198 tok/s4.3s
Qwen3 Next 80B A3B Instruct
Alibaba———
20.1
166 tok/s1.1s
Magistral Medium 1.2
Mistral———
27.1
44 tok/s0.5s
GPT-4o mini
OpenAI$0.15$0.6128K
82%
200 tok/s—
MiniMax-M2
MiniMax———
36.1
77 tok/s1.2s
Ling-1T
InclusionAI———
19
——
GPT-5 (ChatGPT)
OpenAI———
21.8
178 tok/s0.6s
DeepSeek V3 0324
DeepSeek———
22.3
——
MiniMax M1 80k
MiniMax———
24.4
——
Kimi K2
Kimi———
26.3
35 tok/s1.1s
Nova 2.0 Pro Preview (low)
Amazon———
31.9
162 tok/s8.4s
Qwen3 VL 235B A22B Instruct
Alibaba———
20.8
51 tok/s1.1s
Nova 2.0 Lite (high)
Amazon———
34.5
153 tok/s18.2s
Gemini 3 Flash
Google DeepMind$0.075$0.31M
82%
250 tok/s—
Qwen3 Next 80B A3B (Reasoning)
Alibaba———
26.7
163 tok/s1.1s
Ring-1T
InclusionAI———
22.8
——
Hermes 4 - Llama-3.1 70B (Reasoning)
Nous Research———
16
——
Qwen3 VL 30B A3B (Reasoning)
Alibaba———
19.7
125 tok/s1.1s
Llama 4 Maverick
Meta———
18.4
113 tok/s0.6s
gpt-oss-120B (high)
OpenAI———
33.3
224 tok/s0.5s
Gemini 2.5 Flash (Non-reasoning)
Google———
20.6
215 tok/s0.5s
GPT-5 (minimal)
OpenAI———
23.9
74 tok/s1.0s
Mistral Large 3
Mistral———
22.8
55 tok/s0.6s
Mi:dm K 2.5 Pro Preview
Korea Telecom———
81%
——
GPT-5.2 (Non-reasoning)
OpenAI———
33.6
68 tok/s0.7s
Nova 2.0 Omni (medium)
Amazon———
28
——
MiniMax M1 40k
MiniMax———
20.9
——
Gemini 2.0 Pro Experimental (Feb '25)
Google———
18.1
——
Qwen3 30B A3B 2507 (Reasoning)
Alibaba———
22.4
148 tok/s1.1s
Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning)
Google———
21.6
——
K-EXAONE (Non-reasoning)
LG AI Research———
23.4
——
Mi:dm K 2.5 Pro
Korea Telecom———
23.1
——
Nova 2.0 Lite (medium)
Amazon———
29.7
153 tok/s16.9s
Llama Nemotron Super 49B v1.5 (Reasoning)
NVIDIA———
18.7
51 tok/s0.3s
KAT-Coder-Pro V1
KwaiKAT———
36
118 tok/s1.4s
Solar Pro 2 (Reasoning)
Upstage———
14.9
——
GLM-4.6V (Reasoning)
Z AI———
23.4
30 tok/s1.4s
Claude 3.7 Sonnet (Non-reasoning)
Anthropic———
30.8
——
Qwen3 32B (Reasoning)
Alibaba———
16.5
104 tok/s1.0s
Gemini 2.0 Flash Thinking Experimental (Jan '25)
Google———
19.6
——
Gemini 2.5 Flash-Lite Preview (Sep '25) (Non-reasoning)
Google———
19.4
——
o3-mini (high)
OpenAI———
25.2
164 tok/s27.4s
Claude 4.5 Haiku (Non-reasoning)
Anthropic———
31.1
100 tok/s0.6s
GPT-4o (March 2025, chatgpt-4o-latest)
OpenAI———
18.6
——
GPT-5.1 (Non-reasoning)
OpenAI———
27.4
167 tok/s0.6s
DeepSeek R1 Distill Llama 70B
DeepSeek———
16
44 tok/s0.3s
Nova 2.0 Omni (low)
Amazon———
23.2
——
Gemini 2.5 Flash Preview (Reasoning)
Google———
24.3
——
Motif-2-12.7B-Reasoning
Motif Technologies———
19.1
——
Ring-flash-2.0
InclusionAI———
14
86 tok/s1.5s
o3-mini
OpenAI———
25.9
162 tok/s6.6s
Qwen3 VL 32B Instruct
Alibaba———
17.2
72 tok/s1.1s
Qwen3 Omni 30B A3B (Reasoning)
Alibaba———
15.6
97 tok/s1.1s
Grok Code Fast 1
xAI———
28.7
133 tok/s5.7s
NVIDIA Nemotron 3 Nano 30B A3B (Reasoning)
NVIDIA———
24.3
137 tok/s1.2s
GLM-4.5V (Reasoning)
Z AI———
15.1
47 tok/s1.2s
GLM-4.7 (Non-reasoning)
Z AI———
34.2
107 tok/s0.6s
Llama 3.3 Nemotron Super 49B v1 (Reasoning)
NVIDIA———
18.5
——
K2-V2 (high)
MBZUAI Institute of Foundation Models———
20.6
——
Nova 2.0 Lite (low)
Amazon———
24.6
157 tok/s6.4s
Qwen3 Coder 480B A35B Instruct
Alibaba———
24.8
66 tok/s1.7s
HyperCLOVA X SEED Think (32B)
Naver———
23.7
——
Apriel-v1.6-15B-Thinker
ServiceNow———
27.6
——
ERNIE 4.5 300B A47B
Baidu———
15
23 tok/s1.5s
Gemini 2.0 Flash (experimental)
Google———
16.8
——
Qwen3 30B A3B (Reasoning)
Alibaba———
15.3
71 tok/s1.3s
GPT-5 nano (high)
OpenAI———
26.8
148 tok/s109.5s
Qwen3 30B A3B 2507 Instruct
Alibaba———
15
114 tok/s1.1s
Command R+
Cohere$2.5$10128K
78%
80 tok/s—
Ling-flash-2.0
InclusionAI———
15.7
84 tok/s1.4s
gpt-oss-120B (low)
OpenAI———
24.5
220 tok/s0.5s
GPT-4.1 mini
OpenAI———
22.9
79 tok/s0.5s
Gemini 2.5 Flash Preview (Non-reasoning)
Google———
17.8
——
GPT-5 mini (minimal)
OpenAI———
20.7
87 tok/s0.8s
Gemini 2.0 Flash (Feb '25)
Google———
18.5
——
GLM-4.6 (Non-reasoning)
Z AI———
30.2
52 tok/s1.1s
Apriel-v1.5-15B-Thinker
ServiceNow———
28.3
——
Nova 2.0 Pro Preview (Non-reasoning)
Amazon———
23.1
155 tok/s0.7s
GPT-5 nano (medium)
OpenAI———
25.9
144 tok/s55.2s
Magistral Small 1.2
Mistral———
18.2
109 tok/s0.4s
EXAONE 4.0 32B (Non-reasoning)
LG AI Research———
11.7
——
Qwen3 14B (Reasoning)
Alibaba———
16.2
64 tok/s1.0s
GPT-4o (ChatGPT)
OpenAI———
14.1
——
Solar Pro 2 (Preview) (Reasoning)
Upstage———
18.8
——
Claude 3.5 Sonnet (Oct '24)
Anthropic———
15.9
——
K2-V2 (medium)
MBZUAI Institute of Foundation Models———
18.7
——
Gemini 2.5 Flash-Lite (Reasoning)
Google———
17.6
302 tok/s24.7s
NVIDIA Nemotron Nano 12B v2 VL (Reasoning)
NVIDIA———
14.9
——
Qwen3 VL 30B A3B Instruct
Alibaba———
16.1
123 tok/s1.0s
Sonar Pro
Perplexity———
15.2
——
Mistral Medium 3
Mistral———
18.8
48 tok/s0.5s
Qwen2.5 Max
Alibaba———
16.3
49 tok/s1.2s
Olmo 3 32B Think
Allen Institute for AI———
12.1
——
Olmo 3.1 32B Think
Allen Institute for AI———
13.9
——
QwQ 32B
Alibaba———
19.7
31 tok/s0.5s
Qwen3 235B A22B (Non-reasoning)
Alibaba———
17
62 tok/s1.1s
Claude 4.5 Haiku (Reasoning)
Anthropic———
37.1
139 tok/s16.7s
Devstral 2
Mistral———
22
64 tok/s0.6s
Claude Haiku 4.5
Anthropic$0.8$4200K
75.2%
250 tok/s—
Claude 3.5 Sonnet (June '24)
Anthropic———
14.2
——
Solar Pro 2 (Non-reasoning)
Upstage———
13.6
——
Llama 4 Scout
Meta———
13.5
134 tok/s0.6s
GLM-4.6V (Non-reasoning)
Z AI———
17.1
34 tok/s4.8s
GLM-4.5V (Non-reasoning)
Z AI———
12.7
49 tok/s29.7s
Qwen3 VL 8B (Reasoning)
Alibaba———
16.7
131 tok/s1.1s
gpt-oss-20B (high)
OpenAI———
24.5
253 tok/s0.4s
Gemma 3 27B
Open
Google DeepMindFreeFree128K
75%
120 tok/s—
Gemini 1.5 Pro (Sep '24)
Google———
16
——
Magistral Small 1
Mistral———
16.8
——
Magistral Medium 1
Mistral———
18.8
——
Qwen3 8B (Reasoning)
Alibaba———
13.2
91 tok/s1.0s
NVIDIA Nemotron Nano 9B V2 (Non-reasoning)
NVIDIA———
13.2
141 tok/s0.5s
Grok 4.1 Fast (Non-reasoning)
xAI———
23.6
75 tok/s0.4s
MiMo-V2-Flash (Non-reasoning)
Xiaomi———
30.4
137 tok/s1.2s
o1-mini
OpenAI———
20.4
——
Nova 2.0 Lite (Non-reasoning)
Amazon———
18
229 tok/s0.8s
GPT-4o (May '24)
OpenAI———
14.5
132 tok/s0.6s
DeepSeek R1 Distill Qwen 32B
DeepSeek———
17.2
——
NVIDIA Nemotron Nano 9B V2 (Reasoning)
NVIDIA———
14.8
125 tok/s0.2s
Qwen3 4B 2507 (Reasoning)
Alibaba———
18.2
——
DeepSeek R1 Distill Qwen 14B
DeepSeek———
15.8
——
DeepSeek R1 0528 Qwen3 8B
DeepSeek———
16.4
——
DBRX
Open
Databricks$0.75$2.2533K
73.7%
100 tok/s—
Hermes 4 - Llama-3.1 405B (Non-reasoning)
Nous Research———
17.6
35 tok/s0.8s
Falcon-H1R-7B
TII UAE———
15.8
——
Nova Premier
Amazon———
19
28 tok/s1.5s
Grok 4 Fast (Non-reasoning)
xAI———
23.1
85 tok/s0.4s
Llama 3.1 Instruct 405B
Meta———
17.4
66 tok/s0.6s
Solar Pro 2 (Preview) (Non-reasoning)
Upstage———
16
——
Qwen3 Omni 30B A3B Instruct
Alibaba———
10.7
108 tok/s0.9s
Llama 3.2 11B Vision
Open
Meta AI$0.18$0.18128K
73%
150 tok/s—
Qwen3 32B (Non-reasoning)
Alibaba———
14.5
104 tok/s1.1s
Mistral Small
Mistral AI$0.1$0.332K
72%
200 tok/s—
Llama 3.1 Tulu3 405B
Allen Institute for AI———
14.1
——
Gemini 3.1 Flash-Lite
Google DeepMind$0.01$0.041M
72%
500 tok/s—
gpt-oss-20B (low)
OpenAI———
20.8
251 tok/s0.4s
Gemini 2.0 Flash-Lite (Feb '25)
Google———
14.7
——
Nova 2.0 Omni (Non-reasoning)
Amazon———
16.6
——
Gemini 2.5 Flash-Lite (Non-reasoning)
Google———
12.7
268 tok/s1.7s
Qwen2.5 Instruct 72B
Alibaba———
15.6
55 tok/s1.3s
Command R
Cohere$0.15$0.6128K
72%
150 tok/s—
Command A
Cohere———
13.5
36 tok/s0.6s
Devstral Medium
Mistral———
18.7
69 tok/s0.5s
Grok 2 (Dec '24)
xAI———
13.9
——
K2-V2 (low)
MBZUAI Institute of Foundation Models———
14.4
——
Llama 3.3 Instruct 70B
Meta———
14.5
93 tok/s0.6s
Qwen3 Coder 30B A3B Instruct
Alibaba———
20
111 tok/s1.5s
Qwen3 30B A3B (Non-reasoning)
Alibaba———
12.5
68 tok/s1.1s
Falcon 180B
Open
TIIFreeFree4K
70.4%
20 tok/s—
Pixtral Large
Mistral———
14
55 tok/s0.6s
Qwen3 VL 4B (Reasoning)
Alibaba———
13.7
——
Mistral Large 2 (Nov '24)
Mistral———
15.1
31 tok/s0.6s
Llama 3.3 Nemotron Super 49B v1 (Non-reasoning)
NVIDIA———
14.3
——
Qwen2.5 Instruct 32B
Alibaba———
13.2
——
Claude 3 Opus
Anthropic———
18
——
Sarvam M (Reasoning)
Sarvam———
8.4
141 tok/s1.2s
Grok Beta
xAI———
13.3
——
Qwen3 4B (Reasoning)
Alibaba———
14.2
104 tok/s1.1s
Ministral 3 14B
Mistral———
16
149 tok/s0.4s
GPT-4 Turbo
OpenAI———
13.7
37 tok/s1.0s
Qwen3 VL 8B Instruct
Alibaba———
14.3
144 tok/s0.9s
Llama 3.1 Nemotron Instruct 70B
NVIDIA———
13.4
284 tok/s0.3s
Nova Pro
Amazon———
13.5
——
Sonar
Perplexity———
15.5
——
Llama Nemotron Super 49B v1.5 (Non-reasoning)
NVIDIA———
14.6
52 tok/s0.3s
Mistral Large 2 (Jul '24)
Mistral———
13
——
Devstral Small 2
Mistral———
19.5
66 tok/s0.5s
Gemini 1.5 Flash (Sep '24)
Google———
13.8
——
Qwen3 14B (Non-reasoning)
Alibaba———
12.8
64 tok/s1.0s
Llama 3.1 Instruct 70B
Meta———
12.5
34 tok/s0.6s
Mistral Small 3.2
Mistral———
15.1
152 tok/s0.4s
Mistral Medium 3.1
Mistral———
21.3
85 tok/s0.5s
Qwen3 4B 2507 Instruct
Alibaba———
12.9
——
Ling-mini-2.0
InclusionAI———
9.2
——
Llama 3.2 Instruct 90B (Vision)
Meta———
11.9
48 tok/s0.6s
Reka Flash 3
Reka AI———
9.5
92 tok/s1.6s
Gemini 1.5 Pro (May '24)
Google———
12
——
GPT-4.1 nano
OpenAI———
13
126 tok/s0.4s
Mistral Small 3.1
Mistral———
14.5
137 tok/s0.5s
Olmo 3 7B Think
Allen Institute for AI———
9.4
——
Hermes 4 - Llama-3.1 70B (Non-reasoning)
Nous Research———
12.6
76 tok/s0.6s
Mistral Small 3
Mistral———
12.7
138 tok/s0.5s
NVIDIA Nemotron Nano 12B v2 VL (Non-reasoning)
NVIDIA———
10.1
235 tok/s0.7s
QwQ 32B-Preview
Alibaba———
15.2
——
Ministral 3 8B
Mistral———
14.8
166 tok/s0.3s
Qwen2.5 Coder Instruct 32B
Alibaba———
12.9
——
Qwen3 8B (Non-reasoning)
Alibaba———
10.6
84 tok/s1.0s
Claude 3.5 Haiku
Anthropic———
18.7
——
Qwen3 VL 4B Instruct
Alibaba———
9.6
——
Qwen2.5 Turbo
Alibaba———
12
68 tok/s1.2s
Devstral Small (May '25)
Mistral———
18
——
Qwen2 Instruct 72B
Alibaba———
11.7
——
Devstral Small (Jul '25)
Mistral———
15.2
196 tok/s0.4s
Granite 4.0 H Small
IBM———
10.8
286 tok/s8.8s
Mistral Saba
Mistral———
12.1
——
Gemma 3 12B Instruct
Google———
8.8
——
Exaone 4.0 1.2B (Reasoning)
LG AI Research———
8.3
——
Qwen3 4B (Non-reasoning)
Alibaba———
12.5
105 tok/s1.0s
Nova Lite
Amazon———
12.7
200 tok/s0.7s
Kimi Linear 48B A3B Instruct
Kimi———
14.4
——
Claude 3 Sonnet
Anthropic———
10.3
——
Jamba 1.7 Large
AI21 Labs———
10.9
50 tok/s1.0s
DeepHermes 3 - Mistral 24B Preview (Non-reasoning)
Nous Research———
10.9
——
NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning)
NVIDIA———
13.2
81 tok/s0.3s
Jamba Reasoning 3B
AI21 Labs———
9.6
——
Gemini 1.5 Flash-8B
Google———
11.1
——
Jamba 1.5 Large
AI21 Labs———
10.7
——
Llama 3 Instruct 70B
Meta———
8.9
46 tok/s0.7s
Gemini 1.5 Flash (May '24)
Google———
10.5
——
Qwen3 1.7B (Reasoning)
Alibaba———
8
138 tok/s0.9s
Hermes 3 - Llama-3.1 70B
Nous Research———
10.6
30 tok/s0.4s
GPT-5 nano (minimal)
OpenAI———
13.8
142 tok/s0.8s
Jamba 1.6 Large
AI21 Labs———
10.6
56 tok/s0.9s
Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning)
NVIDIA———
14.4
——
Mixtral 8x22B Instruct
Mistral———
9.8
——
DeepSeek R1 Distill Llama 8B
DeepSeek———
12.1
——
Nova Micro
Amazon———
10.3
305 tok/s0.6s
Ministral 3 3B
Mistral———
11.2
297 tok/s0.3s
Olmo 3 7B Instruct
Allen Institute for AI———
8.2
——
LFM2 8B A1B
Liquid AI———
7
——
OLMo 2 32B
Allen Institute for AI———
10.6
——
Claude 2.1
Anthropic———
9.3
——
Exaone 4.0 1.2B (Non-reasoning)
LG AI Research———
8.1
——
Claude 2.0
Anthropic———
9.1
——
Mistral Medium
Mistral———
9
83 tok/s0.6s
Phi-4 Multimodal Instruct
Microsoft———
10
16 tok/s1.8s
Gemma 3n E4B Instruct
Google———
6.4
30 tok/s0.7s
Llama 3.1 Instruct 8B
Meta———
11.8
203 tok/s0.5s
Gemma 3n E4B Instruct Preview (May '25)
Google———
10.1
——
Qwen2.5 Coder Instruct 7B
Alibaba———
10
——
Phi-4 Mini Instruct
Microsoft———
8.4
45 tok/s0.3s
Granite 3.3 8B (Non-reasoning)
IBM———
7
392 tok/s21.9s
Llama 3.2 Instruct 11B (Vision)
Meta———
8.7
86 tok/s0.4s
GPT-3.5 Turbo
OpenAI———
9
93 tok/s0.4s
Granite 4.0 Micro
IBM———
7.7
——
Phi-3 Mini Instruct 3.8B
Microsoft———
10.1
——
DeepSeek Coder V2 Lite Instruct
DeepSeek———
8.5
——
LFM 40B
Liquid AI———
8.8
——
Claude Instant
Anthropic———
7.4
——
Gemini 1.0 Pro
Google———
8.5
——
Command-R+ (Apr '24)
Cohere———
8.3
——
Mistral Small (Feb '24)
Mistral———
9
143 tok/s0.6s
Gemma 3 4B Instruct
Google———
6.3
——
Qwen3 1.7B (Non-reasoning)
Alibaba———
6.8
139 tok/s1.0s
Llama 2 Chat 70B
Meta———
8.4
——
Llama 2 Chat 13B
Meta———
8.4
——
Llama 3 Instruct 8B
Meta———
6.4
82 tok/s0.5s
Mixtral 8x7B Instruct
Mistral———
7.7
——
Jamba 1.7 Mini
AI21 Labs———
8.1
——
Gemma 3n E2B Instruct
Google———
4.8
——
DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning)
Nous Research———
7.6
——
Jamba 1.6 Mini
AI21 Labs———
7.9
180 tok/s0.7s
Jamba 1.5 Mini
AI21 Labs———
8
——
Molmo 7B-D
Allen Institute for AI———
9.2
——
Llama 3.2 Instruct 3B
Meta———
9.7
52 tok/s0.7s
Qwen3 0.6B (Reasoning)
Alibaba———
6.5
225 tok/s0.9s
Command-R (Mar '24)
Cohere———
7.4
——
Granite 4.0 1B
IBM———
7.3
——
OpenChat 3.5 (1210)
OpenChat———
8.3
——
LFM2 2.6B
Liquid AI———
8
——
Granite 4.0 H 1B
IBM———
8
——
OLMo 2 7B
Allen Institute for AI———
9.3
——
DeepSeek R1 Distill Qwen 1.5B
DeepSeek———
9.1
——
LFM2 1.2B
Liquid AI———
6.3
——
Mistral 7B Instruct
Mistral———
7.4
163 tok/s0.4s
Qwen3 0.6B (Non-reasoning)
Alibaba———
5.7
222 tok/s0.9s
Llama 3.2 Instruct 1B
Meta———
6.3
98 tok/s0.6s
Llama 2 Chat 7B
Meta———
9.7
98 tok/s10.3s
Gemma 3 1B Instruct
Google———
5.5
——
Granite 4.0 H 350M
IBM———
5.4
——
Granite 4.0 350M
IBM———
6.1
——
Gemma 3 270M
Google———
7.7
——
Gemini 2.5 Flash TTS (Dec 2025)
Google——————
EXAONE 4.5 33B (Non-reasoning)
LG AI Research——————
Kling Image 3.0 Omni
KlingAI——————
Gemma 4 31B (Non-reasoning)
Google———
32.3
——
GPT-5.3 Codex (xhigh)
OpenAI———
53.6
96 tok/s67.2s
Gemma 4 31B (Reasoning)
Google———
39.2
35 tok/s1.0s
MiMo-V2.5-Pro
Xiaomi———
53.8
60 tok/s1.9s
GPT-5.4 mini (Non-Reasoning)
OpenAI———
23.3
170 tok/s0.5s
GPT-5.4 nano (Non-Reasoning)
OpenAI———
24.4
167 tok/s0.5s
GPT-5.4 mini (medium)
OpenAI———
37.7
184 tok/s5.4s
GPT-5.4 (Non-reasoning)
OpenAI———
35.4
68 tok/s0.7s
GPT-5.4 nano (medium)
OpenAI———
38.1
168 tok/s3.6s
DeepSeek V4 Flash (Non-reasoning)
DeepSeek———
36.5
66 tok/s0.8s
GPT-5.4 mini (xhigh)
OpenAI———
48.9
185 tok/s5.7s
EXAONE 4.5 33B
LG AI Research———
30.2
——
Gemini 3 Deep Think
Google——————
Muse Spark
Meta———
52.1
——
Gemma 4 26B A4B (Non-reasoning)
Google———
27.1
——
Grok-1
xAI———
11.7
——
GPT-5.4 nano (xhigh)
OpenAI———
44
169 tok/s3.7s
Gemini 3.1 Flash-Lite Preview
Google———
33.5
350 tok/s5.1s
Gemma 4 E2B (Non-reasoning)
Google———
12.1
——
Claude Opus 4.6 (Adaptive Reasoning, Max Effort)
Anthropic———
53
52 tok/s16.5s
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort)
Anthropic———
51.7
79 tok/s55.2s
Gemma 4 E4B (Non-reasoning)
Google———
14.8
55 tok/s0.5s
Mistral Small 4 (Reasoning)
Mistral———
27.8
162 tok/s0.6s
Gemma 4 E4B (Reasoning)
Google———
18.8
44 tok/s1.0s
Gemini 3.1 Pro Preview
Google———
57.2
130 tok/s22.5s
Magpie-Multilingual 357M (Feb 2026)
NVIDIA——————
Gemma 4 E2B (Reasoning)
Google———
15.2
——
Claude Sonnet 4.6 (Non-reasoning, Low Effort)
Anthropic———
42.6
50 tok/s0.9s
Codestral
Mistral AI$0.3$0.932K—180 tok/s—
Grok 4.20 0309 v2 (Reasoning)
xAI———
49.3
97 tok/s33.2s
Grok 4.20 0309 v2 (Non-reasoning)
xAI———
29
89 tok/s0.5s
R1 1776
Perplexity———
12
——
MiniMax-M2.7
MiniMax———
49.6
47 tok/s1.2s
Solar Open 100B (Reasoning)
Upstage———
21.7
——
NVIDIA Nemotron 3 Super 120B A12B (Reasoning)
NVIDIA———
36
159 tok/s0.9s
LFM2.5-1.2B-Instruct
Liquid AI———
8
——
LFM2.5-VL-1.6B
Liquid AI———
6.2
——
Kimi K2.6 (Non-reasoning)
Kimi———
43
40 tok/s1.3s
Granite 4.1 3B
IBM———
8.5
——
LFM2.5-1.2B-Thinking
Liquid AI———
8.1
——
Solar Pro 3
Upstage———
25.9
——
LFM2 24B A2B
Liquid AI———
10.5
158 tok/s0.2s
Molmo2-8B
Allen Institute for AI———
7.3
——
Kimi K2.5 (Reasoning)
Kimi———
46.8
42 tok/s1.1s
Mercury 2
Inception———
32.8
812 tok/s4.1s
Nemotron Cascade 2 30B A3B
NVIDIA———
28.4
——
Step3 VL 10B
StepFun———
15.4
——
NVIDIA Nemotron 3 Nano 4B
NVIDIA———
14.7
——
Olmo 3.1 32B Instruct
Allen Institute for AI———
12.2
——
Llama 65B
Meta———
7.4
——
Kimi K2.5 (Non-reasoning)
Kimi———
37.3
49 tok/s1.3s
Step 3.5 Flash 2603
StepFun———
38.5
159 tok/s0.9s
Step 3.5 Flash
StepFun———
37.8
143 tok/s0.9s
MiMo-V2-Flash (Feb 2026)
Xiaomi———
41.5
138 tok/s1.4s
Hy3-preview (Non-reasoning)
Tencent———
33.7
114 tok/s2.6s
Granite 4.1 8B
IBM———
12.4
121 tok/s0.5s
K2 Think V2
MBZUAI Institute of Foundation Models———
24.1
——
Sarvam 30B (high)
Sarvam———
12.3
170 tok/s1.2s
o1-preview
OpenAI———
23.7
——
MiMo-V2-Pro
Xiaomi———
49.2
62 tok/s2.1s
MiMo-V2-Omni
Xiaomi———
43.4
107 tok/s1.8s
MiMo-V2-Omni-0327
Xiaomi———
44.9
109 tok/s1.3s
KAT Coder Pro V2
KwaiKAT———
43.8
117 tok/s1.7s
Sarvam 105B (high)
Sarvam———
18.2
158 tok/s1.3s
GLM-5.1 (Reasoning)
Z AI———
51.4
56 tok/s0.9s
Apertus 70B Instruct
Swiss AI Initiative———
7.7
——
Qwen3.5 4B (Non-reasoning)
Alibaba———
22.6
201 tok/s0.2s
LongCat Flash Lite
LongCat———
23.9
122 tok/s4.6s
Qwen3.5 0.8B (Reasoning)
Alibaba———
10.5
——
Tri-21B-Think
Trillion Labs———
18.6
——
Qwen3.5 397B A17B (Reasoning)
Alibaba———
45
52 tok/s1.7s
Qwen3.5 2B (Non-reasoning)
Alibaba———
14.7
343 tok/s0.2s
Trinity Large Thinking
Arcee AI———
31.9
127 tok/s0.6s
Tri-21B-think Preview
Trillion Labs———
20
——
Nanbeige4.1-3B
Nanbeige———
16.1
——
GLM-5 (Non-reasoning)
Z AI———
40.6
58 tok/s1.3s
GLM-5-Turbo
Z AI———
46.8
——
GLM 5V Turbo (Reasoning)
Z AI———
42.9
——
Tiny Aya Global
Cohere———
4.7
124 tok/s0.3s
Qwen3.5 0.8B (Non-reasoning)
Alibaba———
9.9
356 tok/s0.2s
Apertus 8B Instruct
Swiss AI Initiative———
5.9
——
GLM-5 (Reasoning)
Z AI———
49.8
68 tok/s0.7s
Qwen3.5 122B A10B (Reasoning)
Alibaba———
41.6
162 tok/s1.1s
Qwen3.5 397B A17B (Non-reasoning)
Alibaba———
40.1
53 tok/s1.8s
Qwen3.5 35B A3B (Non-reasoning)
Alibaba———
30.7
134 tok/s1.2s
Qwen3.5 35B A3B (Reasoning)
Alibaba———
37.1
118 tok/s1.1s
Qwen3.5 Omni Plus
Alibaba———
38.6
56 tok/s1.3s
Qwen3.5 Omni Flash
Alibaba———
25.9
243 tok/s0.9s
Qwen3.5 4B (Reasoning)
Alibaba———
27.1
199 tok/s0.2s
Qwen3 Coder Next
Alibaba———
28.3
127 tok/s1.0s
Qwen3.5 9B (Reasoning)
Alibaba———
32.4
71 tok/s0.4s
Qwen3.5 27B (Non-reasoning)
Alibaba———
37.2
94 tok/s1.4s
Qwen3.6 Plus
Alibaba———
50
53 tok/s1.7s
Qwen3.5 2B (Reasoning)
Alibaba———
16.3
——
Qwen3.5 27B (Reasoning)
Alibaba———
42.1
92 tok/s1.4s
Qwen3.5 122B A10B (Non-reasoning)
Alibaba———
35.9
163 tok/s1.1s
Qwen3 Max Thinking
Alibaba———
39.9
46 tok/s1.5s
GPT-3.5 Turbo (0613)
OpenAI——————
GPT-5.2 Codex (xhigh)
OpenAI———
49
103 tok/s1.3s
GPT-4o (Aug '24)
OpenAI———
18.6
106 tok/s0.5s
o3-pro
OpenAI———
40.7
21 tok/s84.7s
o1-pro
OpenAI———
25.8
——
Gradium TTS
Gradium——————
GPT-4.5 (Preview)
OpenAI———
20
——
GPT-4o mini Realtime (Dec '24)
OpenAI——————
GPT-4
OpenAI———
12.8
30 tok/s1.1s
DeepSeek-V2.5
DeepSeek———
12.3
——
GPT-4o Realtime (Dec '24)
OpenAI——————
Gemini 2.0 Flash-Lite (Preview)
Google———
14.5
——
Gemini 1.0 Ultra
Google———
10.1
——
PALM-2
Google———
8.6
——
Gemini 2.0 Flash Thinking Experimental (Dec '24)
Google———
12.3
——
Qwen3.6 Max Preview
Alibaba———
51.8
38 tok/s2.0s
Claude 3 Haiku
Anthropic———
12.3
——
MiMo-V2.5-TTS
Xiaomi——————
Claude 4.1 Opus (Non-reasoning)
Anthropic———
36
36 tok/s1.7s
DeepSeek LLM 67B Chat (V1)
DeepSeek———
8.4
——
StepAudio 2.5 TTS
StepFun——————
DeepSeek-V2.5 (Dec '24)
DeepSeek———
12.5
——
DeepSeek-Coder-V2
DeepSeek———
10.6
——
Nemotron 3 Nano Omni 30B A3B Reasoning
NVIDIA———
21.4
307 tok/s0.6s
Grok 4.20 0309 (Non-reasoning)
xAI———
29.7
88 tok/s0.6s
MiniMax-M2.5
MiniMax———
41.9
86 tok/s1.2s
Sonar Reasoning Pro
Perplexity———
24.6
——
Sonar Reasoning
Perplexity———
17.9
——
Solar Mini
Upstage———
11.9
66 tok/s1.0s
Grok 3 Reasoning Beta
xAI———
21.6
——
Grok 4.20 0309 (Reasoning)
xAI———
48.5
86 tok/s34.1s
GLM-4.7-Flash (Reasoning)
Z AI———
30.1
86 tok/s0.9s
Reka Flash (Sep '24)
Reka AI———
12
84 tok/s1.8s
GLM-4.7-Flash (Non-reasoning)
Z AI———
22.1
153 tok/s1.0s
GPT-5.5 (medium)
OpenAI———
56.7
57 tok/s6.1s
DeepSeek V4 Pro (Reasoning, Max Effort)
DeepSeek———
51.5
31 tok/s1.0s
Qwen1.5 Chat 110B
Alibaba———
9.5
——
GPT-5.5 (high)
OpenAI———
58.9
55 tok/s19.6s
GPT-5.5 (low)
OpenAI———
50.8
55 tok/s2.0s
Qwen Chat 72B
Alibaba———
8.8
——
Eleven v3
ElevenLabs——————
Realtime TTS 1.5 Max
Inworld——————
GPT-5.5 (xhigh)
OpenAI———
60.2
67 tok/s62.9s
Inworld TTS 1 Max
Inworld——————
Studio
Google——————
Polly Generative
Amazon——————
T2A-01-HD
MiniMax——————
Sonic 3
Cartesia——————
SIMBA 1.6
Speechify——————
Kokoro 82M v1.0
Kokoro——————
Voxtral TTS
Mistral——————
Azure Neural
Microsoft——————
AsyncFlow V2, async
async——————
Maya1
Maya Research——————
GPT-5.5 (Non-reasoning)
OpenAI———
40.9
56 tok/s1.0s
MiMo-V2.5
Xiaomi———
49
96 tok/s1.6s
Step TTS 2 (Mar 2026)
StepFun——————
Speech 2.6 HD
MiniMax——————
Speech 2.8 Turbo
MiniMax——————
Azure HD 2.5
Microsoft——————
Speech-02-HD
MiniMax——————
Step Audio EditX (Mar 2026)
StepFun——————
Inworld TTS 1
Inworld——————
TTS-1
OpenAI——————
Speech-02-Turbo
MiniMax——————
Flash v2.5
ElevenLabs——————
Turbo v2.5
ElevenLabs——————
TTS-1 HD
OpenAI——————
OpenAudio S1
Fish Audio——————
Multilingual v2
ElevenLabs——————
Speech 2.6 Turbo
MiniMax——————
OpenVoice v2
OpenVoice——————
Murf Speech Gen 2
Murf AI——————
Neuphonic TTS
Neuphonic——————
T2A-01-Turbo
MiniMax——————
VibeVoice 7B
Microsoft——————
Qwen3 TTS Flash
Alibaba——————
StyleTTS 2
StyleTTS ——————
XTTS v2
Coqui——————
WaveNet
Google——————
VibeVoice 1.5B
Microsoft——————
Polly Neural
Amazon——————
Sonic English (Oct 2024)
Cartesia——————
Chatterbox HD
Resemble AI——————
Polly Long-Form
Amazon——————
Journey
Google——————
Lightning v3.1
Smallest.ai——————
SIMBA 1.0
Speechify——————
MAI-Voice-1
Microsoft——————
Gemini 2.5 Pro (Dec 2025)
Google——————
Octave TTS
Hume AI——————
MiMo-V2-TTS
Xiaomi——————
Fish Speech 1.5
Fish Audio——————
Chatterbox
Resemble AI——————
LMNT
LMNT——————
Magpie-Multilingual 357M
NVIDIA——————
Zonos-v0.1
Zyphra——————
Qwen3 TTS
Alibaba——————
Claude Opus 4.7 (Adaptive Reasoning, Max Effort)
Anthropic———
57.3
60 tok/s27.0s
GPT-5.4 (xhigh)
OpenAI———
56.8
94 tok/s179.1s
GLM-5.1 (Non-reasoning)
Z AI———
43.8
45 tok/s1.1s
Qwen3.5 9B (Non-reasoning)
Alibaba———
27.3
——
GPT-5.4 Pro (xhigh)
OpenAI——————
SIMBA 3.0
Speechify——————
Polly Standard
Amazon——————
MetaVoice v1
MetaVoice——————
Mistral Small 4 (Non-reasoning)
Mistral———
18.6
142 tok/s0.5s
Qwen Chat 14B
Alibaba———
7.4
——
Qwen3.6 27B (Reasoning)
Alibaba———
45.8
64 tok/s1.5s
JT-MINI
China Mobile———
25.4
——
Gemma 4 26B A4B (Reasoning)
Google———
31.2
——
Falcon (Beta)
Murf AI——————
Chirp 3: HD
Google——————
DeepSeek-V2-Chat
DeepSeek———
9.1
——
DeepSeek V4 Pro (Reasoning, High Effort)
DeepSeek———
49.8
31 tok/s1.1s
Grok 4.3 (Non-reasoning)
xAI———
31
79 tok/s0.6s
Realtime TTS 1.5 Mini
Inworld——————
Mist V2
Rime——————
Standard
Google——————
Claude Opus 4.7 (Non-reasoning, High Effort)
Anthropic———
51.8
47 tok/s1.6s
DeepSeek V4 Flash (Reasoning, High Effort)
DeepSeek———
44.9
——
Kimi K2.6
Kimi———
53.9
41 tok/s1.4s
Qwen3.6 35B A3B (Reasoning)
Alibaba———
43.5
189 tok/s1.5s
Ling-2.6-1T
InclusionAI———
33.6
——
Speech 2.8 HD
MiniMax——————
Qwen3.6 35B A3B (Non-reasoning)
Alibaba———
31.5
182 tok/s1.4s
Qwen3.5 Omni Flash
Alibaba——————
Octave 2
Hume AI——————
Neural2
Google——————
DeepSeek V4 Flash (Reasoning, Max Effort)
DeepSeek———
46.5
65 tok/s0.8s
Hy3-preview (Reasoning)
Tencent———
41.9
115 tok/s2.3s
Qwen3.6 27B (Non-reasoning)
Alibaba———
37.1
61 tok/s1.4s
Ling 2.6 Flash
InclusionAI———
26.2
211 tok/s1.2s
Gemini 3.1 Flash TTS
Google——————
Arctic Instruct
Snowflake———
8.8
——
Fish Audio S2 Pro
Fish Audio——————
GPT-5.4 (low)
OpenAI———
47.9
64 tok/s1.6s
Granite 4.1 30B
IBM———
14.7
——
Arcana v3
Rime——————
Magpie Multilingual
NVIDIA——————
GPT-5.5 Pro (xhigh)
OpenAI——————
DeepSeek V4 Pro (Non-reasoning)
DeepSeek———
39.3
31 tok/s1.1s
MiMo-V2.5-Pro (Non-reasoning)
Xiaomi———
35.6
59 tok/s1.9s
Gemini 2.5 Flash Lite TTS
Google——————
Grok 4.3
xAI———
53.2
92 tok/s9.6s
Mistral Medium 3.5
Mistral———
39.2
169 tok/s0.6s
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Estimate Your Monthly Cost

Enter your expected usage to compare costs across models

e.g. 1,000,000 = ~750,000 words

Usually 30–50% of input volume

6 models selected

ModelInput CostOutput CostTotal/Monthvs Cheapest
Llama 3.3 70B
Meta AI
$0.23$0.46$0.69✓ Best value
DeepSeek R2
DeepSeek
$0.55$1.09$1.652.4× more
GPT-4.1
OpenAI
$2.00$4.00$6.008.7× more
Claude Sonnet 4.6
Anthropic
$3.00$7.50$10.5015.2× more
GPT-4o
OpenAI
$5.00$7.50$12.5018.1× more
Claude Opus 4.6
Anthropic
$15.00$37.50$52.5076.1× more

Prices are approximate and may vary. Check provider documentation for current pricing.