Noometry

Model comparison

Claude Sonnet 4.6 vs Mistral Large

Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 31.9 on the Noometry Index. Mistral Large costs 2.0× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.

Last verified . 29 shared benchmarks.

Claude Sonnet 4.6 Anthropic

50.3

Rank #50 Confirmed

Mistral Large Mistral AI

31.9

Rank #263 Confirmed

Summary

  • They share 29 benchmarks with published results for both. Claude Sonnet 4.6 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 4.6 leads 52.9 to 18.2.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 85.8% for Claude Sonnet 4.6 and 8.5% for Mistral Large.
  • Mistral Large is cheaper at $2 / $6 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
  • Claude Sonnet 4.6 accepts more context: 1M tokens versus 131K.
  • Mistral Large has downloadable open weights; the other is API-only.

Side by side

Claude Sonnet 4.6Mistral Large
ProviderAnthropicMistral AI
Noometry Index50.331.9
Released2026-02-172024-02-26
WeightsProprietaryOpen
Context window1M131K
Max output128K16K
Input $ / M tokens$3$2
Output $ / M tokens$15$6
Results tracked5751

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 46.3 (#67), Mistral Large: 34.3 (#240)

BenchmarkClaude Sonnet 4.6Mistral Large
SciCode46.8%36.2%
LMArena Coding15041277
ALE-Bench1,327264.7
SWE-bench Verified75.2%—
DeepSWE29.9%—
FrontierCode24.3%—
LMArena WebDev1522—
WeirdML66.1%—
BigCodeBench Instruct—30%
LiveBench Coding—47.1%
BigCodeBench Complete—38.3%
HumanEval+—62.2%
MBPP+—59.5%

Agentic & Tool Use Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 39.1 (#28), Mistral Large: 28.6 (#89)

BenchmarkClaude Sonnet 4.6Mistral Large
Terminal-Bench53.4%—
APEX-Agents43%—
Berkeley Function Calling Leaderboard—38.4%
OSWorld 2.09.3%—
DeepResearch Bench54.9%—
OSWorld72.1%—
ExploitBench23.6%—
GBAEval48.8%—
GDP.pdf18%—
LMArena Search1221—
Vending-Bench 27,204—

Reasoning Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 46.1 (#45), Mistral Large: 15.8 (#310)

BenchmarkClaude Sonnet 4.6Mistral Large
CritPt3.1%0%
LMArena Hard Prompts14841257
DTBench89.9%65.1%
LMCA46.5%16.7%
Epoch Capabilities Index152.24128.52
ForecastBench6257.1
ARC-AGI-260.4%—
SimpleBench—22.5%
NYT Connections (extended)80.9%—
ARC-AGI-186.5%—
Chess Puzzles13%—
Thematic Generalization76.3%—
LiveBench Reasoning—43.5%
Mystery Game Puzzles16%—
LiveBench Data Analysis—50.1%
LiveBench—48.4%

Math Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 52.9 (#49), Mistral Large: 18.2 (#291)

BenchmarkClaude Sonnet 4.6Mistral Large
OTIS Mock AIME 2024-202585.8%8.5%
LMArena Math14621262
FrontierMath (Feb 2025 set)32.4%0.3%
ProofBench45%—
Omni-MATH—28.1%
LiveBench Math—42.5%
MATH Level 5—50.3%
FrontierMath Tier 4 (v1)8.3%—

Knowledge Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 51.7 (#65), Mistral Large: 30.1 (#230)

BenchmarkClaude Sonnet 4.6Mistral Large
GPQA Diamond87.4%51.3%
Vectara Hallucination Rate10.6%4.5%
LMArena Expert15001232
SimpleQA Verified35.5%—
MMLU-Pro—59.9%
Confabulations—21.4%
GPQA (HELM)—43.5%
MMLU—80%

Multimodal Not comparable

Claude Sonnet 4.6: 38.0 (#68), Mistral Large: —

BenchmarkClaude Sonnet 4.6Mistral Large
LMArena Vision1283—
Blueprint-Bench 26.7%—
LMArena Document1482—

Multilingual Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 54.4 (#41), Mistral Large: 40.0 (#219)

BenchmarkClaude Sonnet 4.6Mistral Large
LMArena Non-English14401237
LMArena Chinese14911240
LMArena French14651325
LMArena German14281254
LMArena Japanese14201188
LMArena Korean14111202
LMArena Russian14401257
LMArena Spanish14641268

Instruction Following Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 77.4 (#25), Mistral Large: 67.9 (#191)

BenchmarkClaude Sonnet 4.6Mistral Large
LMArena Instruction Following14751249
LiveBench Instruction Following—67.9%
IFEval—87.7%

Long Context Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 45.3 (#44), Mistral Large: 38.3 (#199)

BenchmarkClaude Sonnet 4.6Mistral Large
LMArena Longer Query14791261

Writing & Preference Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 70.2 (#22), Mistral Large: 40.7 (#242)

BenchmarkClaude Sonnet 4.6Mistral Large
LMArena Text14581266
LMArena Creative Writing14351243
EQ-Bench Creative Writing1810985
LMArena Multi-Turn14641260
Short-Story Creative Writing—69%
WildBench—80.1%
EQ-Bench 41207—
LiveBench Language—39.4%

Frequently asked questions

Is Claude Sonnet 4.6 better than Mistral Large?

Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 31.9 on the Noometry Index. Mistral Large costs 2.0× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.

Which is cheaper, Claude Sonnet 4.6 or Mistral Large?

Mistral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Sonnet 4.6 lists at $3 and $15.

Is Claude Sonnet 4.6 or Mistral Large better for coding?

Claude Sonnet 4.6 scores higher on coding benchmarks: 46.3 versus 34.3 in the Noometry coding category.

Which has the bigger context window?

Claude Sonnet 4.6 does, with 1M tokens against 131K.

How many benchmarks do Claude Sonnet 4.6 and Mistral Large share?

29 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Mistral Large has 51.

Related comparisons

Go deeper