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AgentsCodingReasoningKnowledgeMathMultilingualMultimodalInstruction following

Category Score V3 leaderboard

LMSpeed Best Models for Knowledge

Compare AI models for broad and professional knowledge, factuality, retrieval, and open-book tasks using all eligible benchmark evidence in the active LMSpeed score run.

Updated July 14, 2026·Methodology 3.0·Methodology

Current answer

No model currently meets the formal ranking rules. The table has 7 Estimated models and 93 Provisional models. They are useful signals, but they are not formal ranks.

Rankings can change when data or methods change. The run date appears above.

Available leaderboard data

Models shown
100
Formally ranked models
0
Benchmark columns
9
Dimensions with evidence
2/4

How to read the benchmark bars

Each bar compares models only within the same benchmark column. Bar lengths are relative to the models shown here; they are not Category Scores and cannot be compared across benchmark columns.

RankModelLMSpeed scoreBroad knowledgeProfessional knowledgeStatusEvidenceUpdated
BenchLM Knowledge score66 modelsAA-Omniscience Index65 modelsArtificial Analysis Intelligence Index8 modelsMMLU-Redux6 modelsC-Eval5 modelsMMLU5 modelsSuperGPQA16 modelsHealthBench Hard7 modelsMedXpertQA (Text)4 models
Estimated models — unranked7
—ClaudeClaude Opus 4.5Anthropic
57.6±11.6
—
—
—
96.6
92.2
—
70.6
—
—
Estimated2/4 dimensions · 3 familiesJul 14, 2026
—QwenQwen3.7 MaxQwen
55.8±12.2
—
—
—
95.0
—
—
73.6
—
—
Estimated2/4 dimensions · 2 familiesJul 14, 2026
—QwenQwen3.5
53.1±11.6
—
—
—
94.9
93.0
—
70.4
—
—
Estimated2/4 dimensions · 3 familiesJul 14, 2026
—QwenQwen3.6 PlusQwen
52±11.6
—
—
—
94.5
93.3
—
71.6
—
—
Estimated2/4 dimensions · 3 familiesJul 14, 2026
—QwenQwen3.7 PlusQwen
48.6±12.2
—
—
—
94.5
—
—
71.4
—
—
Estimated2/4 dimensions · 2 familiesJul 14, 2026
—QwenQwen3.6 35B A3BQwen
39.1±12.2
—
—
—
—
90.0
—
64.7
—
—
Estimated2/4 dimensions · 2 familiesJul 14, 2026
—QwenQwen3.6 27BQwen
37.3±11.6
—
—
—
93.5
91.4
—
66.0
—
—
Estimated2/4 dimensions · 3 familiesJul 14, 2026
Provisional models — unranked93
—ClaudeClaude Sonnet 4.6Anthropic
70.6±16.3
—
—
—
—
—
—
95.0
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—ClaudeClaude Opus 4.8Anthropic
64.5±14.0
88.2
27.4
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—ClaudeClaude Opus 4.7 MaxAnthropic
63.5±14.0
84.9
26.2
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—OpenAIO1OpenAI
62.5±17.4
—
—
—
—
—
91.8
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—ClaudeClaude Sonnet 5Anthropic
62.3±14.0
87.3
15.3
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—ClaudeClaude Fable 5Anthropic
61.9±16.0
89.0
—
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—OpenAIGPT-5.5OpenAI
61.9±14.0
82.2
20.1
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—OpenAIGPT-5.3 CodexOpenAI
61.8±14.0
89.2
9.9
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—OpenAIGPT-5.5 ProOpenAI
61.3±16.0
87.1
—
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—GeminiGemini 3 ProGoogle
60±14.0
77.1
15.8
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—GeminiGemini 3.5 FlashGoogle
60±14.0
71.9
22.7
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—GrokGrok 4.5xAI
59.9±16.0
—
26.4
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—OpenAIGPT-5.4OpenAI
59.9±15.1
—
—
—
—
—
—
—
40.1
59.6
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—OpenAIGPT-5.2OpenAI
59.9±14.0
88.4
-1.0
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—ChatGLMGLM-5.2Z.ai
59.8±14.0
84.5
4.0
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—OpenAIO3 ProOpenAI
59.6±14.0
63.5
—
32.5
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—ChatGLMGLM-5.1Z.ai
59.3±14.0
83.7
1.9
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—OpenAIGPT-5.1OpenAI
58.3±14.0
77.1
5.6
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—MiMo-V2.5-ProXiaomi
58.1±14.0
77.4
3.6
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—GeminiGemini 3.1 ProGoogle
57.8±15.1
—
—
—
—
—
—
—
20.6
71.5
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—GrokGrok 4.3xAI
57.3±14.0
63.7
18.3
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—OpenAIGPT-5.6 SolOpenAI
57.2±16.7
—
—
—
—
—
—
—
33.1
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—OpenAIGPT-5.6 TerraOpenAI
57±16.7
—
—
—
—
—
—
—
32.7
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—OpenAIGPT-4.1OpenAI
57±17.4
—
—
—
—
—
90.2
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—ClaudeClaude Opus 4.7Anthropic
56.8±16.0
—
14.2
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—MiMo-V2-Pro
56.8±14.0
71.0
4.9
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—OpenAIGPT-5.6 LunaOpenAI
56.5±16.7
—
—
—
—
—
—
—
32.0
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—OpenAIGPT-5.2 CodexOpenAI
56.1±14.0
73.3
-2.5
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—QwenDeepSeek R1 Distill QwenDeepSeek
56.1±16.0
—
—
11.0
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—OpenAIGPT-5.1 Codex MaxOpenAI
55.6±14.0
73.7
-6.0
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—ClaudeClaude Opus 4.1Anthropic
55.4±14.0
48.5
—
28.2
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—MoonshotAIKimi K2.6MoonshotAI
55.3±14.0
63.4
6.4
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—ClaudeClaude Sonnet 4.5Anthropic
55.2±16.0
69.8
—
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—GrokGrok Build 0 1xAI
55.2±16.0
—
7.4
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—QwenQwen3.6 Max PreviewQwen
55.1±16.3
—
—
—
—
—
—
73.9
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—OpenAIO1 ProOpenAI
55.1±14.0
53.8
—
18.9
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—OpenAIGPT-5OpenAI
54.2±14.0
70.3
-10.1
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—ClaudeClaude Opus 4.6Anthropic
53.7±13.7
—
—
—
—
—
—
95.0
14.8
52.1
Provisional1/4 dimensions · 3 familiesJul 14, 2026
—MinimaxMiniMax M3MiniMax
53.7±16.0
—
1.4
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—OpenAIGPT-5.4 MiniOpenAI
52.9±14.0
71.1
-18.7
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—OpenAIGPT-4o MiniOpenAI
52.4±14.0
50.8
—
6.9
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—CohereCommand ACohere
52.3±16.0
—
-4.0
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—MinimaxMiniMax M2.7MiniMax
51.9±14.0
52.9
0.7
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—OpenAIGPT-5.1 CodexOpenAI
51.8±16.0
—
-6.0
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—OpenAIGPT-5.4 ProOpenAI
51.8±16.0
60.0
—
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—OpenAIO3OpenAI
51.5±14.0
62.5
-15.3
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—GeminiGemini 2.5 ProGoogle
51.3±14.0
61.0
-14.3
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—MoonshotAIKimi K2.7 CodeMoonshotAI
50.7±16.0
—
-10.7
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—OpenAIGPT-5.4 NanoOpenAI
50.3±14.0
67.6
-29.5
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—GeminiGemini 1.5 ProGoogle
50±14.0
38.1
—
10.0
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—GrokGrok 3 Mini
49.9±16.0
54.6
—
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—OpenAIo4 Mini HighOpenAI
49.8±16.0
54.2
—
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—ChatGLMGLM-5 TurboZ.ai
49.6±16.0
—
-15.1
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—OpenAIGPT-4.1 MiniOpenAI
49.3±17.4
—
—
—
—
—
87.5
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—DeepSeekDeepSeek V4 ProDeepSeek
49.2±14.0
48.6
-9.7
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—MoonshotAIKimi K2MoonshotAI
49.1±14.0
60.9
-27.5
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—GeminiGemini 3 FlashGoogle
49.1±14.0
43.8
-3.6
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—ClaudeClaude Sonnet 4Anthropic
49±14.0
47.5
-9.2
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—MiMo-V2-Omni
49±16.0
—
-17.4
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—MistralMistral Medium 3Mistral
48.7±14.0
62.1
-31.5
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—ChatGLMGLM-4.7Z.ai
48.7±14.0
64.3
-34.6
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—ChatGLMGLM-5V TurboZ.ai
48.6±16.0
—
-19.0
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—ClaudeClaude 3 OpusAnthropic
48.5±14.0
30.5
—
11.8
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—OpenAIGPT-4 TurboOpenAI
48.4±14.0
32.5
—
7.9
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—OpenAIO3 MiniOpenAI
47.8±17.4
—
—
—
—
—
86.9
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—ClaudeClaude Haiku 4.5Anthropic
47.3±16.0
46.9
—
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—MoonshotAIKimi K2.5MoonshotAI
47.1±16.3
—
—
—
—
—
—
69.2
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—MetaAILlama 3.1Meta
46.6±14.0
43.0
-17.3
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—DeepSeekDeepSeek V4 FlashDeepSeek
46.3±14.0
45.2
-22.3
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—HunyuanHy3 previewTencent
46.2±14.0
53.3
-34.6
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—ChatGLMGLM-4.6Z.ai
45.5±16.0
—
-31.6
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—OpenAIGPT-4oOpenAI
45.5±14.0
33.2
-10.7
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—MiMo-V2-Flash
45.1±14.0
58.6
-48.5
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—GeminiGemini 3.1 Flash LiteGoogle
44.8±14.0
33.9
-15.5
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—HunyuanHy3Tencent
44.8±16.0
—
-34.6
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—DeepSeekDeepSeek V3.2DeepSeek
44.7±14.0
55.8
-46.7
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—DeepSeekDeepSeek V3
44.4±14.0
50.4
-41.3
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—MistralMistral Medium 3.5Mistral
44.3±16.0
—
-36.3
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—GrokGrok 4.20xAI
44.1±15.1
—
—
—
—
—
—
—
20.3
50.2
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—StepfunStep 3.7 FlashStepFun
44±16.0
—
-37.5
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—ClaudeClaude 3.5 SonnetAnthropic
43.9±16.0
37.1
—
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—QwenQwen3.5-122B-A10BQwen
43.7±16.3
—
—
—
—
—
—
67.1
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—DeepSeekDeepSeek R1DeepSeek
43.6±14.0
37.1
-27.1
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—MistralMistral Large 3
43.3±14.0
44.4
-39.4
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—ChatGLMGLM-5Z.ai
43.3±16.3
—
—
—
—
—
—
66.8
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—QwenQwen3 MaxQwen
42.6±16.0
—
-43.1
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—Trinity Large ThinkingArcee AI
42.4±16.0
—
-44.2
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—QwenQwen3.5-27BQwen
41.4±16.3
—
—
—
—
—
—
65.6
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—GrokGrok 3
41.3±16.0
29.8
—
—
—
—
—
—
—
—
Provisional1/4 dimensions · 1 familiesJul 14, 2026
—OpenAIgpt-oss-120bOpenAI
40.3±14.0
39.1
-50.0
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—Ling 2.6 FlashinclusionAI
40±14.0
48.9
-65.7
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—GeminiGemini 2.5 FlashGoogle
38.9±14.0
27.1
-42.0
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026
—AzurePhi 4Microsoft
38.7±14.0
36.8
-56.7
—
—
—
—
—
—
—
Provisional1/4 dimensions · 2 familiesJul 14, 2026

What this leaderboard measures

Which AI model is better suited to knowledge questions?

This leaderboard covers broad knowledge, professional knowledge, factuality, and use of open materials. It cannot guarantee that a model knows a recent event.

Available data covers 2/4 dimensions and shows 9 benchmark columns.

Four capability dimensions

The four dimensions come from the category blueprint. Available data may cover only some of them. A dimension without evidence is not presented as a verified capability.

Broad knowledge

6 benchmark columns currently provide evidence for this dimension.

  • BenchLM Knowledge score
  • AA-Omniscience Index
  • Artificial Analysis Intelligence Index
  • MMLU-Redux
  • C-Eval
  • MMLU

Professional knowledge

3 benchmark columns currently provide evidence for this dimension.

  • SuperGPQA
  • HealthBench Hard
  • MedXpertQA (Text)

Factuality

Available data has no eligible evidence for this dimension, so it does not affect this Category Score.

Retrieval & open-book use

Available data has no eligible evidence for this dimension, so it does not affect this Category Score.

Knowledge tasks this page can help with

  • General questions across common subjects with clear, useful answers.
  • Professional research that requires domain terms and lower factual error rates.
  • Retrieval-augmented questions that use external material instead of memory alone.

How to choose a model with this leaderboard

  1. Step 1

    Check the rating status first

    Only Rated models receive a rank. Estimated and Provisional models do not have a formal position.

  2. Step 2

    Review uncertainty and evidence

    When scores are close, do not rely on rank alone. Check uncertainty, dimension coverage, and benchmark count.

  3. Step 3

    Test the real task last

    A leaderboard cannot replace your own test. Check quality, speed, price, context, and provider limits together.

Use search or reliable sources for time-sensitive questions. Important conclusions still need source checks.

Rating status guide

Rated

Rated means the evidence and overlap rules are met. The model can receive a formal rank.

Estimated

Estimated means there is useful evidence, but it is not enough for a formal rank.

Provisional

Provisional means evidence is limited or dimension and benchmark-family coverage is below the estimated threshold. Use the result only as an early signal.

Benchmarks and evidence sources

Evidence source names and benchmark groups come from the currently available score data. One source may contribute several benchmarks.

  • BenchLM

    AA-Omniscience Index, Artificial Analysis Intelligence Index, BenchLM Knowledge score, C-Eval, HealthBench Hard, MedXpertQA (Text), MMLU, MMLU-Redux, and SuperGPQA

How the knowledge model ranking is built

LMSpeed combines eligible third-party benchmarks inside four fixed capability dimensions. Rated models meet the evidence and overlap requirements for a formal rank; Estimated and Provisional models remain visible without receiving a rank.

Read the Category Score methodology

Leaderboard limits

Category Scores use the third-party benchmarks currently included by LMSpeed. Tests can use different data, prompts, and scoring rules. The result is not permanent and cannot represent every real task. Test important choices with your own data and workflow.

Frequently asked questions

Which visible model has the highest formal rank now?

There is no formal number one now. The page has 7 Estimated models and 93 Provisional models. They do not have a formal rank and should not be called the winner.

Can I compare scores across different categories?

No. Each category uses different capability dimensions and evidence. A Category Score is comparable only inside the same leaderboard. Review the matching category for each task.

Are Estimated and Provisional models still useful?

They can help you find candidates, but their evidence is not complete enough for a formal rank. Review coverage and uncertainty, then test the model on a real task.

How often does the leaderboard update?

The leaderboard updates after a new completed score run is published. The current run date and methodology version appear above. LMSpeed does not promise a fixed daily or weekly schedule.

Is the number one model always best for me?

No. Your result also depends on speed, price, context length, tool support, region, and provider limits. Use the leaderboard to narrow the field, then run your own test.

Does a high knowledge score prevent factual errors?

No. A high score only shows stronger results on the current knowledge benchmarks. The model can still return old or incorrect information. Check dates and primary sources for important facts.