LLM Benchmarks — Scores, Methodology & Live Rankings

What each benchmark measures, how models score, and the current rankings

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Most tested benchmarks

Ranked by how many models have tracked scores — open a benchmark for its full live ranking.

GPQA Diamond 80 models tested · latest result 07.11.2026 94.3% SWE-bench Pro 77 models tested · latest result 24.10.2026 89.7% Humanity's Last Exam 71 models tested · latest result 07.11.2026 54.9% SWE-bench Verified 60 models tested · latest result 21.10.2026 87.6% MCP-Atlas 54 models tested · latest result 21.10.2026 89.2% HLE (with tools) 49 models tested · latest result 07.11.2026 70% LiveCodeBench v6 49 models tested · latest result 21.10.2026 93.5% MMLU-Pro 48 models tested · latest result 21.10.2026 91% SWE-bench Multilingual 48 models tested · latest result 16.09.2026 89.5% BrowseComp 45 models tested · latest result 07.11.2026 92.1%

DECK-Arena

Agentic

Internal Moonshot Elo-score benchmark for presentation generation (python-pptx, pptxjs, in-house DSL; grader calibrated on 10,000+ human judgments).

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Design Bench

Agentic

Internal Moonshot Elo-score benchmark for graphic design via direct and reference-image few-shot prompting.

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Kimi Hallu Bench Hard w/ tools

Safety

Internal Moonshot hallucination benchmark, hard subset with tools. LOWER IS BETTER - claim-level hallucination rate assessed by fact-checking agents.

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Kimi Hallu Bench w/o tools

Safety

Internal Moonshot hallucination benchmark without tools. LOWER IS BETTER - claim-level hallucination rate.

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xdev-bench-hard

Safety

Internal expert-curated source-code vulnerability discovery and exploitation benchmark; pass@3 over a random subset of runs; Kimi Code harness.

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SWE-bench Pro v2.0 Hard

Agentic Coding

SWE-bench Pro v2.0 Hard split as reported on the Ripple-65B Preview card; Terminus 2 harness used for Ripple-65B Preview, competitor scores partially officia...

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FORTRESS Benign

Safety

FORTRESS benign-prompt suite row from the Ripple-65B Preview card Safety section (adversarial + benign pair of the FORTRESS robustness benchmark).

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CMMLU

Knowledge

CMMLU - Chinese multi-task language understanding benchmark; reported in the baidu/ERNIE-5.5-Flash-Base model card evaluation table as CMMLU (EM), 5-shot.

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Aider Polyglot

Agentic Coding

Aider Polyglot - coding benchmark evaluating model's ability to edit code across multiple programming languages.

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BFCL-V3

General Agents

BFCL-V3 - Berkeley Function Calling Leaderboard version 3, evaluating function calling and tool use.

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BFCL-V4

General Agents

BFCL-V4 - Berkeley Function Calling Leaderboard version 4, evaluating function calling and tool use capabilities.

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BIG-Bench Hard

Reasoning

BIG-Bench Hard (BBH) - a subset of 23 challenging BIG-Bench tasks. few-shot.

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Global-MMLU-Lite

Multilingual

Global-MMLU-Lite - multilingual MMLU subset by Cohere For AI.

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GPQA Diamond

STEM & Reasoning

GPQA Diamond - Google-Proof Q&A benchmark for graduate-level scientific reasoning.

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HealthBench

General Capabilities

HealthBench - healthcare-related benchmark evaluating medical knowledge and reasoning.

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SWE-bench Pro

Agentic Coding

SWE-bench Pro - refined benchmark with corrected problematic tasks in the public set. Internal agent scaffold; temp=1.0, top_p=0.95, 200K context window.

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AA-LCR

Long Context

AA-LCR - Artificial Analysis Long Context Retrieval benchmark.

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Apex-Agents

General Agents

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BabyVision

Vision & Language

BabyVision - general visual reasoning benchmark. Reports Without CI and With CI (Consistency Inference) scores.

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GDPVal

General Agents

GDPVal - agentic benchmark for evaluating general task completion.

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GDPVal-AA v2

General Agents

GDPVal-AA v2 - Artificial Analysis GDPVal v2 agentic benchmark for evaluating general task completion. Score is an index value (not percentage).

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IFEval

Instruction Following

IFEval - Instruction Following Evaluation benchmark for measuring LLM instruction-following capabilities.

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MMMU

Vision & Language

MMMU - massive multi-discipline multimodal understanding and reasoning benchmark for college-level knowledge.

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SWE Atlas - QnA

Agentic Coding

SWE Atlas QnA - agentic coding subtask; mini SWE agent harness, temp=1.0, top_p=0.95, 128K context, avg of 5 runs.

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SWE-bench Verified

Agentic Coding

SWE-bench Verified evaluates LLM-based agents on real-world GitHub issue resolution from popular Python repositories. Internal agent scaffold (bash + file-ed...

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TAU2-Bench

General Agents

TAU2-Bench - agentic tool use benchmark for customer service scenarios. Airline domain evaluated with fixes from Claude Opus 4.5 system card.

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Terminal Bench 2.1

Agentic Coding

Terminal Bench 2.1 - agentic coding and terminal use benchmark. Evaluated with Claude Code (avg@10), 5-hour timeout, max_tokens=131,072.

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Terminal-Bench 2.1 (Terminus-2)

Agentic Coding

Terminal-Bench 2.1 evaluated with Harbor/Terminus-2 framework, parser=json, temp=1.0, top_p=1.0, 128K context, 4h timeout, 32 CPU/48GB RAM, avg of 5 runs.

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AgentWorldBench Overall

General Agents

AgentWorldBench Overall - mean across all 7 agent interaction domains (MCP, Search, Terminal, SWE, Android, Web, OS). Five-dimensional rubric, normalized to ...

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GDP.pdf

Long Context

GDP.pdf: official Artificial Analysis (artificialanalysis.ai) text-only version as cited on the KRAFTON Raon-1 mini preview card; PDFs are OCR-ed in advance,...

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IFBench (prompt loose)

Instruction Following

IFBench (prompt loose) - instruction following benchmark, loose prompt evaluation.

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MMStar

Vision & Language

MMStar - comprehensive multimodal benchmark evaluating fine-grained visual reasoning.

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SWE-Marathon

Agentic Coding

SWE-Marathon - long-horizon software engineering benchmark. Evaluated by Abundant AI with 1M context length, max effort level, and 128K maximum output tokens.

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AA-Omniscience Index (public set)

Knowledge

AA-Omniscience Index (public set) - calibrated knowledge index from Aleph Alpha's Omniscience suite, centered at 0 and comparable across models; can be negat...

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BioMysteryBench

STEM & Reasoning

Biology research-agent benchmark (99-task initial release); per model card footnote evaluated with Claude Code harness, judged by Kimi-K3.

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INCLUDE

Multilingual

INCLUDE - multilingual benchmark for evaluating language coverage across diverse regions.

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OmniScience Non-Hallucination

Knowledge

OmniScience Non-Hallucination - scientific knowledge non-hallucination rate benchmark.

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Terminal-Bench 2.1 (Claude Code)

Agentic Coding

Terminal-Bench 2.1 evaluated using Claude Code 2.1.126, parser=json, temp=1.0, top_p=1.0, max_new_tokens=131072, avg of 5 runs.

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TIR-Bench

Vision & Language

TIR-Bench - tool-integrated reasoning benchmark for visual mathematical problem solving. Reports with CI / without CI scores.

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Terminal-Bench 3.0

Agentic Coding

Terminal-Bench 3.0 agentic terminal tasks, evaluated with the Claude Code 2.1.207 harness (reasoning effort=max, 400K context, 128K max output), avg@3 over t...

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