BlogLLM Benchmark Scores as Published, Side by Side

Claude Sonnet 4.6: Benchmark Scores as Published

Every result the catalog holds for Claude Sonnet 4.6: 63 tests in 17 areas, from 12 pages. 21 printed by Anthropic itself, the rest by the company named beside each number. Each number is as printed; nothing is ranked or rescored.

Developer AnthropicReleased 2026-02-17Context window 1MMax output 128KInput Text, imageOutput TextWeights ClosedData version 2026103001, as of 2026-10-30

Knowledge Work

TestValuePrinted bySetup as printed
GDPval-AA v21395Anthropic, Claude Sonnet 5checked 2026-10-15-
APEX-Agents26.2%MiniMax, MiniMax M3checked 2026-10-15-
GDPval-AA (Elo)1633Anthropic, Claude Sonnet 4.6checked 2026-10-15; printed on 2 more pages-
Vals Finance Agent v251%Google, Gemini 3.5 Flash model cardchecked 2026-10-15-
Vals Finance Agent v1.163.3%Anthropic, Claude Sonnet 4.6checked 2026-10-15-
GDPval rubrics (pointwise rubric score)75.65%MiniMax, MiniMax M3checked 2026-10-15-

Agentic Coding

TestValuePrinted bySetup as printed
SWE-bench Verified79.6%Anthropic, Claude Sonnet 4.6checked 2026-10-15; printed on 4 more pages-
SWE-Bench Pro58.1%Anthropic, Claude Sonnet 5checked 2026-10-15; printed on 1 more page-
Terminal-Bench 2.167%Anthropic, Claude Sonnet 5checked 2026-10-15-
Terminal-Bench 2.059.1%Anthropic, Claude Sonnet 4.6checked 2026-10-15; printed on 2 more pagesEffort: none; Harness: Terminus-2 (reproduced by Anthropic)
SWE-Atlas-QnA (setting not stated)31.2%MiniMax, MiniMax M3checked 2026-10-15-
Multi-SWE-bench51%MiniMax, MiniMax-M2.7 model cardchecked 2026-10-15-
SWE-Atlas-Test Writing31.76%MiniMax, MiniMax M3checked 2026-10-15-
VIBE-Pro56.1%MiniMax, MiniMax-M2.7 model cardchecked 2026-10-15-

ML Engineering

TestValuePrinted bySetup as printed
MLE-bench Lite (medal rate)72.7%MiniMax, MiniMax-M2.7 model cardchecked 2026-10-15-

Science and Math

TestValuePrinted bySetup as printed
GPQA Diamond89.9%Anthropic, Claude Sonnet 4.6checked 2026-10-15; printed on 2 more pages-
AIME 202595.6%Microsoft, Microsoft AI: Introducing MAI-Thinking-1checked 2026-10-19; printed on 1 more page-
SciCode47%Google, Gemini 3.1 Pro model cardchecked 2026-10-15Effort: max
BeyondAIME47.3%Mistral AI, Mistral Medium 3.5 model cardchecked 2026-10-15Effort: max

Long Context

TestValuePrinted bySetup as printed
LongBench v266%Microsoft, Microsoft AI: MAI-Thinking-1 technical reportchecked 2026-10-19Effort: max
MRCR v2 8-needle 128K84.9%Google, Gemini 3.1 Pro model cardchecked 2026-10-15; printed on 1 more pageEffort: max; Context: 128k (average)
CorpusQA (AI-judge score)AI-judge score79Microsoft, Microsoft AI: MAI-Thinking-1 technical reportchecked 2026-10-19Effort: max
GraphWalks up to 128k (overall F1) (GraphWalks overall F1, up to 128k)GraphWalks overall F1, up to 128k96%Microsoft, Microsoft AI: MAI-Thinking-1 technical reportchecked 2026-10-19Effort: max

Computer Use

TestValuePrinted bySetup as printed
OSWorld-Verified72.5%Anthropic, Claude Sonnet 4.6checked 2026-10-15; printed on 3 more pages-

Multimodal Understanding

TestValuePrinted bySetup as printed
CharXiv Reasoning (no tools)72.4%Google, Gemini 3.5 Flash model cardchecked 2026-10-15Tools: none
MMMU-Pro74.5%Anthropic, Claude Sonnet 4.6checked 2026-10-15; printed on 3 more pagesTools: none
MMMU-Pro (with tools)75.6%Anthropic, Claude Sonnet 4.6checked 2026-10-15Tools: enabled; exact tools in source
OmniDocBench 1.586.9%MiniMax, MiniMax M3checked 2026-10-15-

Cybersecurity

General Knowledge and Reasoning

TestValuePrinted bySetup as printed
Humanity's Last Exam (no tools)33.2%Anthropic, Claude Sonnet 4.6checked 2026-10-15; printed on 3 more pagesEffort: max; Tools: none
MMLU-Pro87%Microsoft, Microsoft AI: MAI-Thinking-1 technical reportchecked 2026-10-19Effort: max
Humanity's Last Exam (with tools)49%Anthropic, Claude Sonnet 4.6checked 2026-10-15; printed on 2 more pagesEffort: max; Tools: enabled; exact tools in source
SimpleQA Verified29%Microsoft, Microsoft AI: MAI-Thinking-1 technical reportchecked 2026-10-19Effort: max
ARC-AGI-260.4%Anthropic, Claude Sonnet 4.6checked 2026-10-15; printed on 2 more pagesEffort: high
58.3%Anthropic, Claude Sonnet 4.6checked 2026-10-15Effort: max
LongFact claim precision (LongFact claim-level precision)LongFact claim-level precision98%Microsoft, Microsoft AI: MAI-Thinking-1 technical reportchecked 2026-10-19Effort: max
TruthfulQA (accuracy)accuracy88%Microsoft, Microsoft AI: MAI-Thinking-1 technical reportchecked 2026-10-19Effort: max

Tool Use and Workflows

TestValuePrinted bySetup as printed
Toolathlon44.8%MiniMax, MiniMax-M2.7 model cardchecked 2026-10-15-
τ³-bench Banking28.4%Mistral AI, Mistral Medium 3.5 model cardchecked 2026-10-15Effort: max; Harness: gpt-5.2 user simulator (low), 4 trials; terminal- or embedding-based agentic search retrieval, highest score
τ²-bench Telecom97.9%Anthropic, Claude Sonnet 4.6checked 2026-10-15; printed on 1 more page-
MCP Atlas61.3%Anthropic, Claude Sonnet 4.6checked 2026-10-15; printed on 2 more pages-
τ²-bench Retail91.7%Anthropic, Claude Sonnet 4.6checked 2026-10-15; printed on 1 more page-
MCP Atlas (public set)61.3%MiniMax, MiniMax M3checked 2026-10-15-
Claw-Eval pass^368.3%MiniMax, MiniMax M3checked 2026-10-15-
τ³-bench Airline83%Mistral AI, Mistral Medium 3.5 model cardchecked 2026-10-15Effort: max; Harness: gpt-5.2 user simulator (low), 4 trials; Sierra-reported for Claude Sonnet 4.5 and Qwen3.5
τ³-bench Retail75.9%Mistral AI, Mistral Medium 3.5 model cardchecked 2026-10-15Effort: max; Harness: gpt-5.2 user simulator (low), 4 trials; Sierra-reported for Claude Sonnet 4.5 and Qwen3.5
τ³-bench Telecom70.4%Mistral AI, Mistral Medium 3.5 model cardchecked 2026-10-15Effort: max; Harness: gpt-5.2 user simulator (low), 4 trials; Sierra-reported for Claude Sonnet 4.5 and Qwen3.5
MM-ClawBench64.2%MiniMax, MiniMax-M2.7 model cardchecked 2026-10-15-
BFCL v3 (accuracy)accuracy76%Microsoft, Microsoft AI: MAI-Thinking-1 technical reportchecked 2026-10-19Effort: max

Web Search and Research

TestValuePrinted bySetup as printed
BrowseComp74.7%Anthropic, Claude Sonnet 4.6checked 2026-10-15; printed on 3 more pagesEffort: max; Tools: web search, web fetch, programmatic tool calling
DRACO75.8%MiniMax, MiniMax M3checked 2026-10-15-

Instruction Following

TestValuePrinted bySetup as printed
IFBench50Microsoft, Microsoft AI: MAI-Thinking-1 technical reportchecked 2026-10-19; printed on 1 more pageEffort: max
MultiChallenge57%Microsoft, Microsoft AI: MAI-Thinking-1 technical reportchecked 2026-10-19Effort: max
COLLIE67.7%Mistral AI, Mistral Medium 3.5 model cardchecked 2026-10-15Effort: max
AdvancedIF (rubric-level score)rubric-level score86Microsoft, Microsoft AI: MAI-Thinking-1 technical reportchecked 2026-10-19Effort: max

Multilingual

TestValuePrinted bySetup as printed
MMMLU89.3%Anthropic, Claude Sonnet 4.6checked 2026-10-15; printed on 1 more page-

Healthcare

Safety and Alignment

Engineering and Design

TestValuePrinted bySetup as printed
Blueprint-Bench 2 (normalized score)6.7%Google, Gemini 3.5 Flash model cardchecked 2026-10-15-

Preference and Composite Rankings

TestValuePrinted bySetup as printed
Artificial Analysis Intelligence Index52MiniMax, MiniMax-M2.7 model cardchecked 2026-10-15-

Price

API list prices in US dollars per one million tokens, as printed on the developer's pricing page on the day checked. Cost per task is measured by Vals AI.

PriceValuePrinted bySetup as printed
Input$3Anthropic, Anthropic API pricingchecked 2026-10-15-
Cached input$0.3Anthropic, Anthropic API pricingchecked 2026-10-15-
Cache write$3.75Anthropic, Anthropic API pricingchecked 2026-10-15Cache: 5 minute cache
Cache write, 1 hour$6Anthropic, Anthropic API pricingchecked 2026-10-15-
Output$15Anthropic, Anthropic API pricingchecked 2026-10-15-
Input, batch$1.5Anthropic, Anthropic API pricingchecked 2026-10-15-
Output, batch$7.5Anthropic, Anthropic API pricingchecked 2026-10-15-
Cost per taskVals AI, USD, lower is better$5.91Vals AI, Vibe Code Bench v1.1 leaderboardchecked 2026-10-27Harness: OpenHands

More from Anthropic

Every number here is read from the same catalog file as the benchmark table, data version 2026103001. Where one page printed the model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.