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All106Text106Image6Audio2Transcription2

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. 1MoonshotAIKimi K368.9±7.3
  2. 2OpenAIGPT-5.6 Sol68.2±7.3
  3. 3ClaudeClaude Opus 567.5±8.2
Top for reasoning
Top for coding
Highest throughput
Category leaderboards
Release date
Context1.1MInput—
  • 1
  • 2

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.

Output
—
Providers
+2
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-07-09
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.6 LunaOpenAIContext1.1MInput$0.200/MOutput$1.20/MProviders
+122
59.8±7.4
56.9±9.3E
54.9±8.7
56.5±16.7P
62.4±16.1P
—
50.2±16.1P
—
Throughput
22 t/s
Latency
18.05s
Release date2026-07-09
  • 59.8
  • 56.9
  • 54.9
  • 56.5
  • 62.4
  • —
  • 50.2
  • —
OpenAIGPT-5.6 Terra ProOpenAIContext1.1MInput—Output—Providers
+1
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-07-09
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.6 TerraOpenAIContext1.1MInput$2.00/MOutput$12.00/MProviders
+128
63.9±7.4
60.2±9.3E
59±8.7
57±16.7P
64.5±16.1P
—
54.8±16.1P
53±16.0P
Throughput
50 t/s
Latency
3.05s
Release date2026-07-09
  • 63.9
  • 60.2
  • 59
  • 57
  • 64.5
  • —
  • 54.8
  • 53
OpenAIGPT-5.6 Sol ProOpenAIContext1.1MInput—Output—Providers
+1
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-07-09
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.6 SolOpenAIContext1.1MInput$5.00/MOutput$30.00/MProviders
+128
68.2±7.3
63.2±9.3E
61.7±8.7
57.2±16.7P
67±16.1P
—
59.9±16.1P
53.5±16.0P
Throughput
57 t/s
Latency
3.65s
Release date2026-07-09
  • 68.2
  • 63.2
  • 61.7
  • 57.2
  • 67
  • —
  • 59.9
  • 53.5
OpenAIGPT Image 2OpenAIContext400KInput—Output—Providers
+105
—
—
—
—
—
—
—
—
Throughput
51 t/s
Latency
3.62s
Release date2026-06-24
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT Image 1 MiniOpenAIContext400KInput—Output—Providers
+20
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-06-24
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT Image 1OpenAIContext400KInput—Output—Providers
+38
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-06-24
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT Chat LatestOpenAIContext400KInput—Output—Providers
+6
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-05-05
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-4o Mini TranscribeOpenAIContext128KInput—Output—Providers
+38
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-05-01
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-4o TranscribeOpenAIContext128KInput—Output—Providers
+40
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-04-27
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.5 Pro (batch)OpenAIContext1.1MInput—Output—Providers—
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-04-24
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.5 ProOpenAIContext1.1MInput—Output—Providers
+29
61.4±16.1P
—
63.2±14.0P
61±16.1P
57.2±16.1P
—
—
—
Throughput
—
Latency
—
Release date2026-04-24
  • 61.4
  • —
  • 63.2
  • 61
  • 57.2
  • —
  • —
  • —
OpenAIGPT-5.5 (batch)OpenAIContext1.1MInput—Output—Providers—
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-04-24
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.5OpenAIContext1.1MInput$5.00/MOutput$30.00/MProviders
+143
62.7±5.1
60±8.7
59.6±8.7
60.4±14.0P
56.9±16.1P
—
55.9±16.1P
54.7±16.0P
Throughput
46 t/s
Latency
5.05s
Release date2026-04-24
  • 62.7
  • 60
  • 59.6
  • 60.4
  • 56.9
  • —
  • 55.9
  • 54.7
OpenAIGPT-5.4 Image 2OpenAIContext272KInput—Output—Providers
+2
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-04-21
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.4 Nano (batch)OpenAIContext400KInput—Output—Providers—
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-03-17
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.4 NanoOpenAIContext400KInput$0.200/MOutput$1.25/MProviders
+95
45.5±8.1
49.7±11.8E
50±10.8E
44.1±14.0P
51.8±16.1P
—
29.7±16.1P
54.7±16.0P
Throughput
137 t/s
Latency
3.38s
Release date2026-03-17
  • 45.5
  • 49.7
  • 50
  • 44.1
  • 51.8
  • —
  • 29.7
  • 54.7
OpenAIGPT-5.4 Mini (batch)OpenAIContext400KInput—Output—Providers—
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-03-17
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.4 MiniOpenAIContext400KInput$0.750/MOutput$4.50/MProviders
+234
51.8±8.1
57.8±11.8E
56.4±10.8E
47.5±14.0P
49.7±16.1P
—
46.8±16.1P
53.7±16.0P
Throughput
134 t/s
Latency
3.54s
Release date2026-03-17
  • 51.8
  • 57.8
  • 56.4
  • 47.5
  • 49.7
  • —
  • 46.8
  • 53.7
OpenAIGPT-5.4 Pro (batch)OpenAIContext1.1MInput—Output—Providers—
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-03-05
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.4 ProOpenAIContext1.1MInput$30.00/MOutput$180.00/MProviders
+70
60.5±16.1P
—
59.5±11.3E
62.2±16.1P
56.8±16.1P
—
73.2±16.1P
—
Throughput
—
Latency
—
Release date2026-03-05
  • 60.5
  • —
  • 59.5
  • 62.2
  • 56.8
  • —
  • 73.2
  • —
OpenAIGPT-5.4 (batch)OpenAIContext1.1MInput—Output—Providers—
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-03-05
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.4OpenAIContext1.1MInput$2.50/MOutput$15.00/MProviders
+288
57.7±5.1
62.8±10.3E
56.8±8.7
59.9±15.1P
57.6±16.1P
—
53±6.7
54±16.0P
Throughput
49 t/s
Latency
4.45s
Release date2026-03-05
  • 57.7
  • 62.8
  • 56.8
  • 59.9
  • 57.6
  • —
  • 53
  • 54
OpenAIGPT-5.3 ChatOpenAIContext128KInput—Output—Providers
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-03-03
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.3OpenAIContext128KInput—Output—Providers
+74
—
—
—
—
—
—
—
—
Throughput
59 t/s
Latency
2.57s
Release date2026-03-03
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.3 CodexOpenAIContext400KInput$1.75/MOutput$14.00/MProviders
+247
53±6.6
58.7±8.5
60.4±10.8E
55.1±16.0P
—
—
—
54.5±16.0P
Throughput
78 t/s
Latency
3.91s
Release date2026-02-24
  • 53
  • 58.7
  • 60.4
  • 55.1
  • —
  • —
  • —
  • 54.5
OpenAIGPT AudioOpenAIContext128KInput—Output—Providers
+21
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-01-19
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT Audio MiniOpenAIContext128KInput—Output—Providers
+15
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2026-01-19
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.2 CodexOpenAIContext400KInput$1.75/MOutput$14.00/MProviders
+155
51.4±9.3E
58.3±11.8E
59.6±10.8E
51.9±16.0P
—
—
—
55.4±16.0P
Throughput
54 t/s
Latency
3.51s
Release date2026-01-14
  • 51.4
  • 58.3
  • 59.6
  • 51.9
  • —
  • —
  • —
  • 55.4
OpenAIGPT-5.2 ChatOpenAIContext128KInput—Output—Providers
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-12-10
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.2OpenAIContext400KInput$1.75/MOutput$14.00/MProviders
+237
47.9±6.6
56.4±8.5
53.5±6.4
57.5±14.0P
55.9±16.1P
—
42.3±9.0E
54.5±16.0P
Throughput
56 t/s
Latency
3.43s
Release date2025-12-10
  • 47.9
  • 56.4
  • 53.5
  • 57.5
  • 55.9
  • —
  • 42.3
  • 54.5
OpenAIGPT-5.2 Pro (batch)OpenAIContext400KInput—Output—Providers—
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-12-10
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.2 ProOpenAIContext400KInput—Output—Providers
+88
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-12-10
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.2 (batch)OpenAIContext400KInput—Output—Providers—
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-12-10
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.1 Codex MaxOpenAIContext400KInput—Output—Providers
+124
50.1±16.0P
50.9±11.8E
55.5±10.8E
51±16.0P
—
—
—
52.6±16.0P
Throughput
56 t/s
Latency
6.29s
Release date2025-12-04
  • 50.1
  • 50.9
  • 55.5
  • 51
  • —
  • —
  • —
  • 52.6
OpenAIGPT-5.1 (batch)OpenAIContext400KInput—Output—Providers—
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-11-13
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.1OpenAIContext400KInput$1.25/MOutput$10.00/MProviders
+152
47.8±9.3E
49.1±11.2E
55.1±8.7
54±16.0P
54±16.1P
—
—
53.6±16.0P
Throughput
142 t/s
Latency
2.78s
Release date2025-11-13
  • 47.8
  • 49.1
  • 55.1
  • 54
  • 54
  • —
  • —
  • 53.6
OpenAIGPT-5.1 ChatOpenAIContext128KInput—Output—Providers
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-11-13
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5.1 CodexOpenAIContext400KInput$1.25/MOutput$10.00/MProviders
+132
49.9±9.3E
50.6±11.2E
56.3±8.7
51±16.0P
54.1±16.1P
—
—
52.6±16.0P
Throughput
—
Latency
—
Release date2025-11-13
  • 49.9
  • 50.6
  • 56.3
  • 51
  • 54.1
  • —
  • —
  • 52.6
OpenAIGPT-5.1 Codex MiniOpenAIContext400KInput$0.250/MOutput$2.00/MProviders
+123
—
57.1±13.9P
53.4±11.1E
—
53.4±16.1P
—
—
—
Throughput
136 t/s
Latency
4.28s
Release date2025-11-13
  • —
  • 57.1
  • 53.4
  • —
  • 53.4
  • —
  • —
  • —
OpenAIgpt-oss-safeguard-20bOpenAIContext131.1KInput—Output—Providers
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-10-29
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5 Image MiniOpenAIContext400KInput—Output—Providers
+5
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-10-16
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5 ImageOpenAIContext400KInput—Output—Providers
+6
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-10-14
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5 ProOpenAIContext400KInput—Output—Providers
+71
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-10-06
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
Relace Apply 3RelaceContext256KInput—Output—Providers
+1
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-09-26
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5 CodexOpenAIContext400KInput$1.25/MOutput$10.00/MProviders
+123
—
56.4±13.9P
57.1±11.1E
—
54.7±16.1P
—
—
—
Throughput
154 t/s
Latency
2.76s
Release date2025-09-23
  • —
  • 56.4
  • 57.1
  • —
  • 54.7
  • —
  • —
  • —
OpenAIGPT-5 ChatOpenAIContext128KInput—Output—Providers
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-08-07
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5OpenAIContext400KInput$1.25/MOutput$10.00/MProviders
+152
45.6±9.3E
49±11.2E
52±8.7
49.9±16.0P
61.5±11.8E
—
—
52.8±16.0P
Throughput
88 t/s
Latency
6.23s
Release date2025-08-07
  • 45.6
  • 49
  • 52
  • 49.9
  • 61.5
  • —
  • —
  • 52.8
OpenAIGPT-5 (batch)OpenAIContext400KInput—Output—Providers—
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-08-07
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5 Mini (batch)OpenAIContext400KInput—Output—Providers—
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-08-07
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5 MiniOpenAIContext400KInput$0.250/MOutput$2.00/MProviders
+110
—
49.6±11.2E
53.8±11.1E
—
52.2±16.1P
—
—
—
Throughput
90 t/s
Latency
7.03s
Release date2025-08-07
  • —
  • 49.6
  • 53.8
  • —
  • 52.2
  • —
  • —
  • —
OpenAIGPT-5 Nano (batch)OpenAIContext400KInput—Output—Providers—
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-08-07
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-5 NanoOpenAIContext400KInput$0.050/MOutput$0.400/MProviders
+110
—
51.2±13.9P
48.1±11.1E
—
50.9±16.1P
—
—
—
Throughput
123 t/s
Latency
10.60s
Release date2025-08-07
  • —
  • 51.2
  • 48.1
  • —
  • 50.9
  • —
  • —
  • —
OpenAIgpt-oss-120bOpenAIContext131.1KInput$0.150/MOutput$0.545/MProviders
+3
35.3±6.2
46.3±9.0
50±8.7
43.8±14.0P
53.7±16.1P
31.5±17.3P
—
52.2±16.0P
Throughput
—
Latency
—
Release date2025-08-05
  • 35.3
  • 46.3
  • 50
  • 43.8
  • 53.7
  • 31.5
  • —
  • 52.2
OpenAIGPT-OSSContext131.1KInput—Output—Providers
+134
—
—
—
—
—
—
—
—
Throughput
384 t/s
Latency
2.39s
Release date2025-08-05
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIgpt-oss-20bOpenAIContext131.1KInput$0.070/MOutput$0.200/MProviders
37.7±9.3E
48.1±11.2E
44.2±8.7
36.1±16.0P
52.9±16.1P
—
—
50.9±16.0P
Throughput
—
Latency
—
Release date2025-08-05
  • 37.7
  • 48.1
  • 44.2
  • 36.1
  • 52.9
  • —
  • —
  • 50.9
OpenAIGPT-4.1 (batch)OpenAIContext1.0MInput—Output—Providers—
—
—
—
—
—
—
—
—
Throughput
—
Latency
—
Release date2025-04-14
  • —
  • —
  • —
  • —
  • —
  • —
  • —
  • —
OpenAIGPT-4.1OpenAIContext1.0MInput$2.00/MOutput$8.00/MProviders
+108
39.9±11.8E
38.5±11.2E
49±8.7
57±17.4P
49±9.3E
—
—
42.1±11.9E
Throughput
85 t/s
Latency
1.92s
Release date2025-04-14
  • 39.9
  • 38.5
  • 49
  • 57
  • 49
  • —
  • —
  • 42.1
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.

4QwenQwen3.8 Max65.8±11.3
5ClaudeClaude Fable 565.7±8.2
1QwenQwen3.8 Max65.9±11.3
2OpenAIGPT-5.6 Sol61.7±8.7
3SparkMuse Spark 1.161.4±10.2
4ClaudeClaude Opus 4.561.4±8.1
5ClaudeClaude Fable 560.7±10.8
1ClaudeClaude Opus 570.1±6.6
2ClaudeClaude Fable 568.1±6.9
3QwenQwen3.8 Max67.3±11.2
4ClaudeClaude Opus 4.866±6.6
5OpenAIGPT-5.6 Sol63.2±9.3
1MetaAILlama 3.3985 t/s
2Mercury 2490 t/s
3GeminiGemini 3.5 Flash425 t/s
4OpenAIGPT-OSS384 t/s
5DeepSeekDeepSeek OCR284 t/s
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Agents
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Model
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Agents
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Reasoning
Knowledge
Math
Multilingual
Multimodal
Instruction following
Throughput
Latency
OpenAIGPT-5.6 Luna ProOpenAI
Read the complete scoring methodology
Model pricing leaderboard
Model speed leaderboard
Latency leaderboard
Provider directory
LLM API speed test