Noometry

Model comparison

Claude Sonnet 5.5 vs Mistral Large

Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 to 31.9 on the Noometry Index.

Last verified . 18 shared benchmarks.

Claude Sonnet 5.5 Anthropic

61.9

Rank #10 Confirmed

Mistral Large Mistral AI

31.9

Rank #263 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Claude Sonnet 5.5 scores higher in 9 categories and Mistral Large in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where Claude Sonnet 5.5 leads 87.9 to 18.2.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for Claude Sonnet 5.5 and 8.5% for Mistral Large.
  • Mistral Large is cheaper at $2 / $6 per million input/output tokens, against $2 / $10 for Claude Sonnet 5.5.
  • Claude Sonnet 5.5 accepts more context: 1M tokens versus 131K.
  • Mistral Large has downloadable open weights; the other is API-only.

Side by side

Claude Sonnet 5.5Mistral Large
ProviderAnthropicMistral AI
Noometry Index61.931.9
Released2026-09-282024-02-26
WeightsProprietaryOpen
Context window1M131K
Max output128K16K
Input $ / M tokens$2$2
Output $ / M tokens$10$6
Results tracked3251

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Category by category

Coding Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 67.3 (#6), Mistral Large: 34.3 (#240)

BenchmarkClaude Sonnet 5.5Mistral Large
SciCode61%36.2%
LMArena Coding15131277
ALE-Bench1,819264.7
FrontierCode52.1%—
CursorBench55.5%—
LMArena WebDev1774—
FrontierSWE61.9%—
BigCodeBench Instruct—30%
LiveBench Coding—47.1%
BigCodeBench Complete—38.3%
HumanEval+—62.2%
MBPP+—59.5%

Agentic & Tool Use Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 45.0 (#16), Mistral Large: 28.6 (#89)

BenchmarkClaude Sonnet 5.5Mistral Large
APEX-Agents75.5%—
Berkeley Function Calling Leaderboard—38.4%

Reasoning Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 54.0 (#28), Mistral Large: 15.8 (#310)

BenchmarkClaude Sonnet 5.5Mistral Large
CritPt31.4%0%
LMArena Hard Prompts14951257
Epoch Capabilities Index165.03128.52
SimpleBench—22.5%
NYT Connections (extended)80.5%—
LiveBench Reasoning—43.5%
Mystery Game Puzzles65%—
DTBench—65.1%
LiveBench Data Analysis—50.1%
LMCA—16.7%
ForecastBench—57.1
LiveBench—48.4%

Math Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 87.9 (#6), Mistral Large: 18.2 (#291)

BenchmarkClaude Sonnet 5.5Mistral Large
OTIS Mock AIME 2024-2025100%8.5%
LMArena Math15101262
FrontierMath (Tiers 1-3)88.8%—
FrontierMath Tier 480.5%—
ProofBench100%—
Omni-MATH—28.1%
LiveBench Math—42.5%
MATH Level 5—50.3%
FrontierMath (Feb 2025 set)—0.3%
FrontierMath Erdős2.9%—

Knowledge Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 66.0 (#12), Mistral Large: 30.1 (#230)

BenchmarkClaude Sonnet 5.5Mistral Large
GPQA Diamond95.6%51.3%
LMArena Expert15401232
SimpleQA Verified46.5%—
MMLU-Pro—59.9%
Confabulations—21.4%
Vectara Hallucination Rate—4.5%
GPQA (HELM)—43.5%
MMLU—80%

Multimodal Not comparable

Claude Sonnet 5.5: 51.5 (#6), Mistral Large: —

BenchmarkClaude Sonnet 5.5Mistral Large
LMArena Vision1289—
Furniture Assembly75%—

Multilingual Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 55.3 (#30), Mistral Large: 40.0 (#219)

BenchmarkClaude Sonnet 5.5Mistral Large
LMArena Non-English14521237
LMArena Chinese15221240
LMArena Russian14511257
LMArena French—1325
LMArena German—1254
LMArena Japanese—1188
LMArena Korean—1202
LMArena Spanish—1268

Instruction Following Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 78.3 (#11), Mistral Large: 67.9 (#191)

BenchmarkClaude Sonnet 5.5Mistral Large
LMArena Instruction Following14951249
LiveBench Instruction Following—67.9%
IFEval—87.7%

Long Context Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 45.9 (#28), Mistral Large: 38.3 (#199)

BenchmarkClaude Sonnet 5.5Mistral Large
LMArena Longer Query14981261

Writing & Preference Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 66.0 (#40), Mistral Large: 40.7 (#242)

BenchmarkClaude Sonnet 5.5Mistral Large
LMArena Text14711266
LMArena Creative Writing14651243
LMArena Multi-Turn14741260
Short-Story Creative Writing—69%
EQ-Bench Creative Writing—985
WildBench—80.1%
LiveBench Language—39.4%

Frequently asked questions

Is Claude Sonnet 5.5 better than Mistral Large?

Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 to 31.9 on the Noometry Index.

Which is cheaper, Claude Sonnet 5.5 or Mistral Large?

Mistral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Sonnet 5.5 lists at $2 and $10.

Is Claude Sonnet 5.5 or Mistral Large better for coding?

Claude Sonnet 5.5 scores higher on coding benchmarks: 67.3 versus 34.3 in the Noometry coding category.

Which has the bigger context window?

Claude Sonnet 5.5 does, with 1M tokens against 131K.

How many benchmarks do Claude Sonnet 5.5 and Mistral Large share?

18 benchmarks have published results for both models. Claude Sonnet 5.5 has 32 scored results on Noometry and Mistral Large has 51.

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