बेंचमार्क अवलोकन

738 मॉडलों पर सभी 25 बेंचमार्क की परिभाषाएँ और वर्तमान नेता।

GPQA Diamond

Reasoning

Graduate-level science questions in physics, chemistry and biology, designed to be Google-proof.

01GPT-6 Astra — 96%02Claude Mythos Preview — 94.6%03GPT-5.6 Sol — 94.6%

Thousands of expert-written questions across dozens of fields, the hardest closed-ended academic benchmark in wide use.

01Claude Mythos Preview — 64.7%02Muse Spark — 58.4%03Claude Opus 4.8 — 57.9%

ARC-AGI-2

Reasoning

Second-generation abstraction and reasoning tasks measuring fluid intelligence on novel visual patterns.

01GPT-5.5 — 85%02Gemini 3.1 Pro — 77.1%03GPT-5.4 — 73.3%

American Invitational Mathematics Examination problems solved without tool assistance.

01Grok 4 Heavy — 100%02Gemini 3 Pro — 100%03GPT-5.2 — 100%

Research-grade mathematics problems crafted by professional mathematicians.

01GPT-6 Astra — 97.6%02GPT-5.6 Sol — 89%03GPT-5.6 Terra — 84.9%

MATH

Math

Competition mathematics dataset spanning algebra to number theory.

01MiMo V2.5 Pro — 86.2%02GPT-5 — 84.7%

Real GitHub issues resolved end-to-end; the industry standard for agentic coding.

01Claude Fable 5 — 95%02Claude Mythos Preview — 93.9%03GPT-6 Astra — 90.2%

Harder, contamination-resistant successor to SWE-Bench with commercial-repo issues.

01Claude Mythos Preview — 77.8%02Claude Opus 4.8 — 69.2%03Qwen3.8 Max — 67.7%

Continuously refreshed competitive programming problems immune to data contamination.

01DeepSeek V4 Pro — 93.5%02Gemini 3 Pro — 91.7%03DeepSeek V4 Flash — 91.6%

SciCode

Coding

Scientific coding problems requiring domain knowledge and multi-function solutions.

01Claude Fable 5 — 60.2%02Gemini 3.1 Pro — 59%03Kimi K3 — 58.7%

Multi-step command-line tasks in realistic terminal environments.

01GPT-6 Astra — 71.5%02GPT-5.6 Sol — 65.9%03Claude Fable 5 — 62.9%

HumanEval

Coding

Function-level Python completion, the classic code-generation benchmark.

01GPT-5 — 93.4%

OSWorld

Agentic

Real computer-use tasks across operating systems: browsers, office apps and file management.

01Claude Opus 4.6 — 72.7%02GPT-6 Astra — 72.6%03Claude Sonnet 4.6 — 72.5%

Toolathlon

Agentic

Multi-tool orchestration tasks across real-world APIs.

01Kimi K3 — 73.2%02Claude Opus 4.8 — 59.9%03GPT-5.6 Sol — 58%

MCP Atlas

Agentic

Tool calling over the Model Context Protocol across complex server graphs.

01Kimi K3 — 84.2%02Claude Opus 4.8 — 82.2%03Hunyuan Hy3 — 79.1%

Dual-control conversational agent tasks in a simulated retail environment.

01GLM-5.2 — 99.1%02Claude Fable 5 — 98.5%03Qwen3.6 Plus — 97.7%

Apex Agents

Agentic

Long-horizon professional agent tasks with multi-app workflows.

01Kimi K3 — 37.6%02Gemini 3.1 Pro — 33.5%03Kimi K2.6 — 27.9%

SimpleQA

Knowledge

Short fact-seeking questions measuring hallucination rates.

01Gemini 3 Pro — 72.1%02Gemini 3 Flash — 68.7%03DeepSeek V4 Pro — 57.9%

MMLU-Pro

Knowledge

Harder 14-subject version of MMLU with ten-way multiple choice.

01Gemini 3 Pro — 89.8%02Qwen3.7 Max — 89.6%03Qwen3.7 Plus — 88.5%

MMLU translated across 14 languages.

01Claude Mythos Preview — 92.7%02Gemini 3.1 Pro — 92.6%03Gemini 3 Pro — 91.8%

MMMU

Multimodal

Massive Multi-discipline Multimodal Understanding with college-level image reasoning.

01Qwen3.6 Plus — 86%02GPT-5.1 — 85.4%03GPT-5 — 84.2%

MMMU-Pro

Multimodal

Harder multimodal reasoning successor of MMMU.

01GPT-6 Astra — 86.4%02GPT-5.5 — 83.2%03GPT-5.6 Sol — 83%

Reasoning over scientific charts and figures from arXiv papers.

01Claude Mythos Preview — 93.2%02Kimi K3 — 91.3%03Claude Opus 4.7 — 91%

ScreenSpot-Pro

Multimodal

GUI grounding on high-resolution professional application screens.

01Claude Opus 4.8 — 87.9%02GPT-5.2 — 86.3%03Qwen3.8 Max — 84.5%

MRCR v2

Long Context

Multi-round coreference resolution over needle-in-haystack long contexts.

01GPT-6 Astra — 93%02GPT-5.6 Sol — 91.5%03GPT-5.6 Terra — 89.6%
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