Noometry

Model comparison

Claude Sonnet 4.5 vs Mistral Large 3

Claude Sonnet 4.5 is the stronger model overall, scoring 44.0 to 38.6 on the Noometry Index. Mistral Large 3 costs 16× less per token, which makes it the better buy when Claude Sonnet 4.5's lead doesn't matter for your workload.

Last verified . 22 shared benchmarks.

Claude Sonnet 4.5 Anthropic

44.0

Rank #76 Confirmed

Mistral Large 3 Mistral AI

38.6

Rank #172 Confirmed

Summary

  • They share 22 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 7 categories and Mistral Large 3 in 2 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Claude Sonnet 4.5 leads 47.8 to 34.1.
  • The biggest single-benchmark swing is NYT Connections (extended): 37.3% for Claude Sonnet 4.5 and 7.5% for Mistral Large 3.
  • Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.5.
  • Claude Sonnet 4.5 accepts more context: 1M tokens versus 262K.
  • Mistral Large 3 has downloadable open weights; the other is API-only.

Side by side

Claude Sonnet 4.5Mistral Large 3
ProviderAnthropicMistral AI
Noometry Index44.038.6
Released2025-09-292025-12-02
WeightsProprietaryOpen
Context window1M262K
Max output64K8K
Input $ / M tokens$3$0.25
Output $ / M tokens$15$0.75
Results tracked7324

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

Category by category

Coding Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 47.8 (#54), Mistral Large 3: 34.1 (#230)

BenchmarkClaude Sonnet 4.5Mistral Large 3
LMArena WebDev13931230
LMArena Coding14891447
SWE-bench Verified71.3%—
SWE-bench Verified (bash only)71.4%—
SWE-bench Multilingual67%—
SciCode44.7%—
GSO14.7%—
WeirdML47.7%—
ALE-Bench796.15—
AlgoTune1.52—

Agentic & Tool Use Not comparable

Claude Sonnet 4.5: 38.1 (#30), Mistral Large 3: —

BenchmarkClaude Sonnet 4.5Mistral Large 3
Terminal-Bench46.5%—
Berkeley Function Calling Leaderboard73.2%—
GDPval42.5%—
Remote Labor Index2.1%—
τ²-bench Airline72%—
τ²-bench Banking25.3%—
τ²-bench Retail72.4%—
τ²-bench Telecom84.9%—
Cybench60%—
DeepResearch Bench52.6%—
OSWorld62.9%—
LMArena Search1159—
METR Time Horizons67.4%—
Vending-Bench 23,839—

Reasoning Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 26.9 (#113), Mistral Large 3: 14.6 (#314)

BenchmarkClaude Sonnet 4.5Mistral Large 3
Kagi LLM Benchmark57.9%50.9%
NYT Connections (extended)37.3%7.5%
LMArena Hard Prompts14621429
ARC-AGI-213.6%—
SimpleBench54.3%—
ARC-AGI-163.7%—
CritPt1.1%—
Chess Puzzles12%—
EnigmaEval6%—
Thematic Generalization—23%
EBR-Bench2.4%—
Mystery Game Puzzles17%—
DTBench83.2%—
LMCA38.8%—
Epoch Capabilities Index146.84—
ForecastBench61.9—

Math Mistral Large 3 leads

Claude Sonnet 4.5: 31.9 (#190), Mistral Large 3: 36.0 (#131)

BenchmarkClaude Sonnet 4.5Mistral Large 3
LMArena Math14481415
FrontierMath (Tiers 1-3)23.9%—
FrontierMath Tier 42.4%—
OTIS Mock AIME 2024-202577.8%—
ProofBench19%—
Omni-MATH55.3%—
MATH Level 597.7%—
FrontierMath (Feb 2025 set)15.2%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 48.4 (#70), Mistral Large 3: 35.5 (#173)

BenchmarkClaude Sonnet 4.5Mistral Large 3
Vectara Hallucination Rate12%14.5%
LMArena Expert14831421
GPQA Diamond82.3%—
Humanity's Last Exam13.7%—
SimpleQA Verified30.7%—
MMLU-Pro86.9%—
GPQA (HELM)68.6%—

Multimodal Mistral Large 3 leads

Claude Sonnet 4.5: 34.1 (#84), Mistral Large 3: 37.6 (#65)

BenchmarkClaude Sonnet 4.5Mistral Large 3
LMArena Vision—1222
VPCT39.8%—
LMArena Document1450—

Multilingual Too close to call

Claude Sonnet 4.5: 53.6 (#65), Mistral Large 3: 52.6 (#79)

BenchmarkClaude Sonnet 4.5Mistral Large 3
LMArena Non-English14251412
LMArena Chinese14591448
LMArena French14591456
LMArena German14271438
LMArena Japanese13901399
LMArena Korean14031384
LMArena Russian14361412
LMArena Spanish14571437

Instruction Following Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 75.2 (#74), Mistral Large 3: 74.1 (#104)

BenchmarkClaude Sonnet 4.5Mistral Large 3
LMArena Instruction Following14591402
IFEval85%—

Long Context Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 45.2 (#45), Mistral Large 3: 43.1 (#102)

BenchmarkClaude Sonnet 4.5Mistral Large 3
LMArena Longer Query14761413

Writing & Preference Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 66.7 (#33), Mistral Large 3: 60.2 (#100)

BenchmarkClaude Sonnet 4.5Mistral Large 3
LMArena Text14391427
LMArena Creative Writing14421385
EQ-Bench Creative Writing16781412
LMArena Multi-Turn14651429
WildBench85.4%—

Frequently asked questions

Is Claude Sonnet 4.5 better than Mistral Large 3?

Claude Sonnet 4.5 is the stronger model overall, scoring 44.0 to 38.6 on the Noometry Index. Mistral Large 3 costs 16× less per token, which makes it the better buy when Claude Sonnet 4.5's lead doesn't matter for your workload.

Which is cheaper, Claude Sonnet 4.5 or Mistral Large 3?

Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Claude Sonnet 4.5 lists at $3 and $15.

Is Claude Sonnet 4.5 or Mistral Large 3 better for coding?

Claude Sonnet 4.5 scores higher on coding benchmarks: 47.8 versus 34.1 in the Noometry coding category.

Which has the bigger context window?

Claude Sonnet 4.5 does, with 1M tokens against 262K.

How many benchmarks do Claude Sonnet 4.5 and Mistral Large 3 share?

22 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and Mistral Large 3 has 24.

Related comparisons

Go deeper