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AI Model Benchmark Directory

LMSpeed is an AI model directory for comparing API price, output speed, first-token latency, provider coverage, and benchmark data. Use it to narrow your model and provider choice, then test the endpoint that fits your workload.

Price, speed, latency, and availability can change. Treat this table as a current signal and verify your own endpoint before you deploy.

Top for agents
  1. 1OpenAIGPT-5.6 Sol68.4±7.4
  2. 2ClaudeClaude Fable 566.7±8.2
  3. 3OpenAIGPT-5.6 Terra63.8±7.5
Top for reasoning
Top for coding
Highest throughput
Release date
Context202.8KInput—Output—Providers
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7

How to read category scores

Agents, Coding, Reasoning, and the other capability columns are 0–100 observed-capability estimates relative to the eligible model population in a dated Category Score V3 run.

They are not success rates, IQ scores, or an average across all eight categories. Read them with the 80% interval, measured dimensions, benchmark families, and evidence shown on each model page.

What this directory shows

Each row brings together the information you need to compare an LLM API. Some fields are blank when LMSpeed has no current data for that model or provider.

API price
Compare input and output price per million tokens when it is available.
Speed and latency
Use throughput and first-token latency to compare response behavior.
Provider coverage
Open a model to review its listed providers and their current details.
Capability data
Use the capability columns when current model scores are available.

How to use the model directory

Start with the decision that matters most for your workload, then compare the current rows before you test an endpoint.

  1. Find a model.Search by model name, slug, or description.
  2. Sort the key metric.Sort by price, throughput, latency, provider count, or capability data.
  3. Compare providers.Open a model page to review the provider options and current data.
  4. Test your endpoint.Run a speed test before you use an endpoint in production.

Frequently Asked Questions

How does LMSpeed benchmark AI models?

LMSpeed runs standardized five-round API speed tests on each model, measuring output throughput (tokens per second), first-token latency, and total response time across multiple providers.

Which AI model has the lowest API latency?

Latency varies by provider and model. Use the LMSpeed model directory to sort by latency and find the model with the fastest first-token response time. Check the latency leaderboard for monthly rankings.

How to compare LLM API pricing across providers?

LMSpeed lists input and output token prices per million for each model across available providers. Sort by price to find a lower-cost option, or filter by provider to compare rates side by side.

+70
52.5±11.9E
55.5±16.0P
52.2±10.8E
48.8±16.0P
—
—
—
54±16.0P
Throughput
56 t/s
Latency
15.05s
Release date2026-03-15
  • 52.5
  • 55.5
  • 52.2
  • 48.8
  • —
  • —
  • —
  • 54
NvidiaNemotron 3 SuperNVIDIAContext1MInput—Output—Providers
+6
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-03-11
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
Seed 2.0 LiteByteDance SeedContext262.1KInput—Output—Providers
+1
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-03-10
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
QwenQwen3.5-9BQwenContext262.1KInput$0.100/MOutput$0.150/MProviders—
—
43.9±16.0P
52.5±13.9P
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-03-10
  • —
  • 43.9
  • 52.5
  • —
  • —
  • —
  • —
  • —
QwenQwen3.5Context262.1KInput$0.030/MOutput$0.150/MProviders
+90
46±5.3
40.4±9.0
53.4±8.1
53.1±11.6E
41.5±11.5E
54.8±12.2E
51.3±6.5
53.9±11.9E
Throughput
46 t/s
Latency
10.19s
Release date2026-03-10
  • 46
  • 40.4
  • 53.4
  • 53.1
  • 41.5
  • 54.8
  • 51.3
  • 53.9
OpenAIGPT-5.4 ProOpenAIContext1.1MInput$30.00/MOutput$180.00/MProviders
+65
60.5±16.1P
—
62.2±11.4E
62.2±16.1P
56.8±16.1P
—
73.1±16.1P
—
Throughput
—
Latency
—
Release date2026-03-05
  • 60.5
  • —
  • 62.2
  • 62.2
  • 56.8
  • —
  • 73.1
  • —
OpenAIGPT-5.4OpenAIContext1.1MInput$2.50/MOutput$15.00/MProviders
+277
56.6±5.1
62.9±10.3E
59.5±10.8E
59.9±15.1P
57.6±16.1P
—
53.7±6.7
54.3±16.0P
Throughput
49 t/s
Latency
4.45s
Release date2026-03-05
  • 56.6
  • 62.9
  • 59.5
  • 59.9
  • 57.6
  • —
  • 53.7
  • 54.3
Mercury 2InceptionContext128KInput$0.250/MOutput$0.750/MProviders
—
52.2±16.0P
52.1±13.9P
—
—
—
—
—
Throughput
490 t/s
Latency
0.89s
Release date2026-03-04
  • —
  • 52.2
  • 52.1
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.3OpenAIContext128KInput—Output—Providers
+71
—
—
—
—
—
—
—
—
Throughput
59 t/s
Latency
2.57s
Release date2026-03-03
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
GeminiGemini 3.1 Flash Lite PreviewGoogleContext1.0MInput$0.250/MOutput$1.50/MProviders
+3
—
54.3±16.0P
53.9±13.9P
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-03-03
  • —
  • 54.3
  • 53.9
  • —
  • —
  • —
  • —
  • —
Seed 2.0 MiniByteDance SeedContext262.1KInput—Output—Providers
+1
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-02-26
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
QwenQwen3.5-35B-A3BQwenContext262.1KInput$0.250/MOutput$2.00/MProviders
43.9±8.7
42.7±11.2E
51.1±8.3
38±16.3P
—
41.6±16.4P
46±12.1E
51.7±11.9E
Throughput
—
Latency
—
Release date2026-02-25
  • 43.9
  • 42.7
  • 51.1
  • 38
  • —
  • 41.6
  • 46
  • 51.7
QwenQwen3.5-27BQwenContext262.1KInput$0.300/MOutput$2.40/MProviders
47.1±8.7
49.7±11.2E
54.1±8.3
41.4±16.3P
—
45.4±16.4P
49.9±12.1E
57.3±11.9E
Throughput
—
Latency
—
Release date2026-02-25
  • 47.1
  • 49.7
  • 54.1
  • 41.4
  • —
  • 45.4
  • 49.9
  • 57.3
QwenQwen3.5-122B-A10BQwenContext262.1KInput$0.400/MOutput$3.20/MProviders
49.7±10.6E
49.4±11.8E
53.6±8.3
43.7±16.3P
—
45.4±16.4P
47.8±9.4E
54.5±11.9E
Throughput
—
Latency
—
Release date2026-02-25
  • 49.7
  • 49.4
  • 53.6
  • 43.7
  • —
  • 45.4
  • 47.8
  • 54.5
QwenQwen3.5 FlashContext1MInput—Output—Providers
+67
—
—
—
—
42.7±16.1P
—
—
—
Throughput
115 t/s
Latency
7.92s
Release date2026-02-25
  • —
  • —
  • —
  • —
  • 42.7
  • —
  • —
  • —
OpenAIGPT-5.3 CodexOpenAIContext400KInput$1.75/MOutput$14.00/MProviders
+242
53.5±6.6
59.2±8.5
60.7±10.8E
55.3±16.0P
—
—
—
54.9±16.0P
Throughput
78 t/s
Latency
3.91s
Release date2026-02-24
  • 53.5
  • 59.2
  • 60.7
  • 55.3
  • —
  • —
  • —
  • 54.9
Aion 2.0AionLabsContext131.1KInput—Output—Providers
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-02-23
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
GeminiGemini 3.1 Pro PreviewGoogleContext1.0MInput$2.00/MOutput$12.00/MProviders
+8
—
65.5±16.0P
64.9±13.9P
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-02-19
  • —
  • 65.5
  • 64.9
  • —
  • —
  • —
  • —
  • —
GeminiGemini 3.1 ProGoogleContext1.0MInput—Output—Providers
+172
47.9±5.8
56±8.7
59.8±8.8
57.8±15.1P
55.3±16.1P
59.7±17.3P
56±6.7
55.6±16.0P
Throughput
92 t/s
Latency
15.36s
Release date2026-02-19
  • 47.9
  • 56
  • 59.8
  • 57.8
  • 55.3
  • 59.7
  • 56
  • 55.6
ClaudeClaude Sonnet 4.6AnthropicContext1MInput$3.00/MOutput$15.00/MProviders
+207
53.6±6.1
56.5±8.6
50.3±8.7
70.6±16.3P
53.2±16.1P
—
44.5±16.2P
43.8±16.0P
Throughput
43 t/s
Latency
4.13s
Release date2026-02-17
  • 53.6
  • 56.5
  • 50.3
  • 70.6
  • 53.2
  • —
  • 44.5
  • 43.8
QwenQwen3.5 397B A17BQwenContext262.1KInput$0.600/MOutput$3.60/MProviders
—
54.4±16.0P
59±13.9P
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-02-16
  • —
  • 54.4
  • 59
  • —
  • —
  • —
  • —
  • —
MinimaxMiniMax M2.5MiniMaxContext204.8KInput$0.300/MOutput$1.20/MProviders
+175
—
50.4±11.8E
55.5±13.9P
—
—
—
—
—
Throughput
57 t/s
Latency
9.85s
Release date2026-02-12
  • —
  • 50.4
  • 55.5
  • —
  • —
  • —
  • —
  • —
ChatGLMGLM-5Z.aiContext202.8KInput$1.00/MOutput$3.20/MProviders
+172
42.8±5.6
52.3±8.1
49.5±8.1
43.3±16.3P
51.1±9.1E
44±12.2E
—
52.6±11.9E
Throughput
46 t/s
Latency
22.00s
Release date2026-02-11
  • 42.8
  • 52.3
  • 49.5
  • 43.3
  • 51.1
  • 44
  • —
  • 52.6
QwenQwen3 Max ThinkingQwenContext262.1KInput$1.20/MOutput$6.00/MProviders
+3
—
52.6±13.9P
55.6±11.1E
—
51.7±16.1P
—
—
—
Throughput
—
Latency
—
Release date2026-02-09
  • —
  • 52.6
  • 55.6
  • —
  • 51.7
  • —
  • —
  • —
ClaudeClaude Opus 4.6AnthropicContext1MInput$5.00/MOutput$25.00/MProviders
+213
55.7±5.7
59.6±8.0
54.1±8.7
53.7±13.7P
56.5±16.1P
54±17.3P
49±11.2E
44.8±16.0P
Throughput
46 t/s
Latency
5.36s
Release date2026-02-04
  • 55.7
  • 59.6
  • 54.1
  • 53.7
  • 56.5
  • 54
  • 49
  • 44.8
QwenQwen3 Coder NextQwenContext262.1KInput$0.350/MOutput$1.20/MProviders
+12
—
47.6±16.0P
49.2±13.9P
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-02-04
  • —
  • 47.6
  • 49.2
  • —
  • —
  • —
  • —
  • —
StepfunStep 3.5 FlashStepFunContext262.1KInput$0.100/MOutput$0.300/MProviders
+61
—
53.3±16.0P
54.9±13.9P
—
—
—
—
—
Throughput
104 t/s
Latency
6.74s
Release date2026-01-29
  • —
  • 53.3
  • 54.9
  • —
  • —
  • —
  • —
  • —
MoonshotAIKimi K2.5MoonshotAIContext262.1KInput$0.600/MOutput$3.00/MProviders
+183
40.3±5.1
49±7.8
56.1±8.3
47.1±16.3P
49.2±9.1E
44.4±12.2E
58.1±12.0E
54.2±11.9E
Throughput
144 t/s
Latency
11.93s
Release date2026-01-27
  • 40.3
  • 49
  • 56.1
  • 47.1
  • 49.2
  • 44.4
  • 58.1
  • 54.2
Solar Pro 3UpstageContext128KInput—Output—Providers
+1
—
41.5±16.0P
49.2±13.9P
—
—
—
—
—
Throughput
41 t/s
Latency
10.64s
Release date2026-01-27
  • —
  • 41.5
  • 49.2
  • —
  • —
  • —
  • —
  • —
LFM 2.5 1.2B InstructLiquidAIContext32.8KInput—Output—Providers
+15
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-01-20
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
ChatGLMGLM-4.7 FlashZ.aiContext200KInput$0.070/MOutput$0.400/MProviders
+44
—
42.2±16.0P
40.9±13.9P
—
—
—
—
—
Throughput
49 t/s
Latency
23.19s
Release date2026-01-19
  • —
  • 42.2
  • 40.9
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.2 CodexOpenAIContext400KInput$1.75/MOutput$14.00/MProviders
+151
51.7±9.3E
58.1±11.8E
59.8±10.8E
52.1±16.0P
—
—
—
55.8±16.0P
Throughput
54 t/s
Latency
3.51s
Release date2026-01-14
  • 51.7
  • 58.1
  • 59.8
  • 52.1
  • —
  • —
  • —
  • 55.8
Seed 1.6 FlashByteDance SeedContext262.1KInput—Output—Providers
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-12-23
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
Seed 1.6ByteDance SeedContext262.1KInput—Output—Providers
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-12-23
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
MinimaxMiniMax M2.1MiniMaxContext204.8KInput$0.300/MOutput$1.20/MProviders
+99
—
55.8±13.9P
57.3±11.1E
—
51.7±16.1P
—
—
—
Throughput
74 t/s
Latency
4.19s
Release date2025-12-23
  • —
  • 55.8
  • 57.3
  • —
  • 51.7
  • —
  • —
  • —
ChatGLMGLM-4.7Z.aiContext202.8KInput$0.600/MOutput$2.20/MProviders
+140
47.8±8.6
53.8±10.5E
55±8.7
37±14.0P
48.8±12.3E
—
—
52.1±16.0P
Throughput
94 t/s
Latency
18.83s
Release date2025-12-22
  • 47.8
  • 53.8
  • 55
  • 37
  • 48.8
  • —
  • —
  • 52.1
GeminiGemini 3 Flash PreviewGoogleContext1.0MInput$0.500/MOutput$3.00/MProviders
+2
—
62.9±13.9P
60.7±11.1E
—
54.4±16.1P
—
—
—
Throughput
—
Latency
—
Release date2025-12-17
  • —
  • 62.9
  • 60.7
  • —
  • 54.4
  • —
  • —
  • —
GeminiGemini 3 FlashGoogleContext1.0MInput$0.500/MOutput$3.00/MProviders
+171
43.1±8.9
53.9±11.2E
52.5±8.7
51.8±16.0P
51.9±16.1P
—
—
48±16.0P
Throughput
144 t/s
Latency
8.01s
Release date2025-12-17
  • 43.1
  • 53.9
  • 52.5
  • 51.8
  • 51.9
  • —
  • —
  • 48
FLUX.2 MaxBlack Forest LabsContext46.9KInput—Output—Providers
+8
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-12-16
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
MiMo-V2-FlashContext262.1KInput$0.100/MOutput$0.300/MProviders
+49
48.1±11.8E
51.5±11.2E
48.6±8.7
40.1±16.0P
51.1±17.4P
—
—
43.4±16.0P
Throughput
107 t/s
Latency
3.20s
Release date2025-12-14
  • 48.1
  • 51.5
  • 48.6
  • 40.1
  • 51.1
  • —
  • —
  • 43.4
OpenAIGPT-5.2OpenAIContext400KInput$1.75/MOutput$14.00/MProviders
+233
48.7±6.6
57±8.5
54.9±6.5
56.2±14.0P
55.9±16.1P
—
42.8±9.0E
54.9±16.0P
Throughput
56 t/s
Latency
3.43s
Release date2025-12-10
  • 48.7
  • 57
  • 54.9
  • 56.2
  • 55.9
  • —
  • 42.8
  • 54.9
OpenAIGPT-5.2 ProOpenAIContext400KInput—Output—Providers
+83
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-12-10
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
ChatGLMGLM-4.6VZ.aiContext131.1KInput$0.300/MOutput$0.900/MProviders
+53
—
40.7±13.9P
50.1±11.1E
—
52.2±16.1P
—
—
—
Throughput
40 t/s
Latency
27.37s
Release date2025-12-08
  • —
  • 40.7
  • 50.1
  • —
  • 52.2
  • —
  • —
  • —
OpenAIGPT-5.1 Codex MaxOpenAIContext400KInput—Output—Providers
+120
50.5±16.0P
51.1±11.8E
55.9±10.8E
51.2±16.0P
—
—
—
52.9±16.0P
Throughput
56 t/s
Latency
6.29s
Release date2025-12-04
  • 50.5
  • 51.1
  • 55.9
  • 51.2
  • —
  • —
  • —
  • 52.9
MistralMistral LargeMistralaiContext128KInput$4.00/MOutput$12.00/MProviders
+18
—
35.6±13.9P
35.8±11.1E
—
36.3±11.8E
—
—
—
Throughput
—
Latency
—
Release date2025-12-01
  • —
  • 35.6
  • 35.8
  • —
  • 36.3
  • —
  • —
  • —
DeepSeekDeepSeek V3.2DeepSeekContext163.8KInput$0.280/MOutput$0.420/MProviders
+170
39.5±6.9
51.6±8.6
51.4±8.7
40.6±16.0P
49±16.1P
—
—
46.2±16.0P
Throughput
46 t/s
Latency
5.36s
Release date2025-12-01
  • 39.5
  • 51.6
  • 51.4
  • 40.6
  • 49
  • —
  • —
  • 46.2
ClaudeClaude Opus 4.5AnthropicContext200KInput$5.00/MOutput$25.00/MProviders
+154
50.2±5.3
57.8±8.1
62.7±8.1
57.6±11.6E
49.8±9.1E
52±12.2E
31.1±6.5
45.7±11.9E
Throughput
54 t/s
Latency
3.12s
Release date2025-11-24
  • 50.2
  • 57.8
  • 62.7
  • 57.6
  • 49.8
  • 52
  • 31.1
  • 45.7
OpenAIOlmo 3 32B ThinkAllenAIContext65.5KInput—Output—Providers
—
47.6±13.9P
46.6±11.1E
—
50.1±16.1P
—
—
—
Throughput
—
Latency
—
Release date2025-11-21
  • —
  • 47.6
  • 46.6
  • —
  • 50.1
  • —
  • —
  • —
BGE Large EN V1.5BAAIContext8.2KInput—Output—Providers
+18
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-11-18
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.1OpenAIContext400KInput$1.25/MOutput$10.00/MProviders
+147
48.2±9.3E
49.4±11.2E
52.8±8.7
54.2±16.0P
54±16.1P
—
—
53.9±16.0P
Throughput
142 t/s
Latency
2.78s
Release date2025-11-13
  • 48.2
  • 49.4
  • 52.8
  • 54.2
  • 54
  • —
  • —
  • 53.9
OpenAIGPT-5.1 CodexOpenAIContext400KInput$1.25/MOutput$10.00/MProviders
+128
50.1±9.3E
50.8±11.2E
56.3±8.7
51.2±16.0P
54.1±16.1P
—
—
52.9±16.0P
Throughput
—
Latency
—
Release date2025-11-13
  • 50.1
  • 50.8
  • 56.3
  • 51.2
  • 54.1
  • —
  • —
  • 52.9
OpenAIGPT-5.1 Codex MiniOpenAIContext400KInput$0.250/MOutput$2.00/MProviders
+119
—
57.2±13.9P
53.5±11.1E
—
53.4±16.1P
—
—
—
Throughput
136 t/s
Latency
4.28s
Release date2025-11-13
  • —
  • 57.2
  • 53.5
  • —
  • 53.4
  • —
  • —
  • —
MoonshotAIKimi K2 ThinkingMoonshotAIContext262.1KInput$0.600/MOutput$2.50/MProviders
+97
—
57.6±13.9P
55.9±11.1E
—
53.9±16.1P
—
—
—
Throughput
51 t/s
Latency
16.73s
Release date2025-11-06
  • —
  • 57.6
  • 55.9
  • —
  • 53.9
  • —
  • —
  • —
Nova Premier V1AmazonContext1MInput—Output—Providers
+3
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-10-31
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
GeminiGemini Embedding 001GoogleContext20KInput—Output—Providers
+56
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-10-31
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
Text Embedding 3 LargeOpenAIContext8.2KInput—Output—Providers
+52
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-10-30
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
Text Embedding 3 SmallOpenAIContext8.2KInput—Output—Providers
+52
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-10-30
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
MinimaxMiniMax M2MiniMaxContext204.8KInput$0.300/MOutput$1.20/MProviders
+74
—
54±13.9P
52.4±11.1E
—
50.9±16.1P
—
—
—
Throughput
48 t/s
Latency
10.12s
Release date2025-10-23
  • —
  • 54
  • 52.4
  • —
  • 50.9
  • —
  • —
  • —
QwenQwen3 VL 32B InstructQwenContext262.1KInput$0.700/MOutput$2.80/MProviders
+2
—
46.2±13.9P
48.6±11.1E
—
49.1±16.1P
—
—
—
Throughput
—
Latency
—
Release date2025-10-23
  • —
  • 46.2
  • 48.6
  • —
  • 49.1
  • —
  • —
  • —
Granite 4.0 H MicroIBMContext131KInput—Output—Providers
+5
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-10-20
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
What is an AI model directory?

An AI model directory is a searchable list of models and their comparison data. On LMSpeed, it brings together API price, throughput, first-token latency, provider coverage, and capability data when available.

How do I choose a model and provider?

Start with the metric that matters most for your workload. Then open a model page to compare provider data. Run your own speed test before you use an endpoint in production.

Can model price and speed change?

Yes. Price, availability, throughput, and latency can change by model, provider, and time. Use current page values as a comparison signal and confirm with your own endpoint test.

4ClaudeClaude Opus 4.863.7±5.3
5GrokGrok 4.562.9±8.4
1ClaudeClaude Opus 4.562.7±8.1
2OpenAIGPT-5.4 Pro62.2±11.4
3OpenAIGPT-5.6 Sol62±10.8
4OpenAIGPT-5.561.4±8.8
5ClaudeClaude Fable 561.2±10.8
1ClaudeClaude Fable 567.9±6.9
2ClaudeClaude Opus 4.866±6.6
3OpenAIGPT-5.462.9±10.3
4OpenAIGPT-5.6 Sol62.9±9.3
5ClaudeClaude Opus 4.7 Max61.7±6.9
1MetaAILlama 3.3985 t/s
2Mercury 2490 t/s
3OpenAIGPT-OSS390 t/s
4GeminiGemini 2.5 Flash Lite277 t/s
5QwenQwen3 Coder243 t/s
Newest
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Model
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Agents
Coding
Reasoning
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Instruction following
Throughput
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ChatGLMGLM-5 TurboZ.ai
Read the complete scoring methodology
Model pricing leaderboard
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Provider directory
LLM API speed test