Noometry

Model comparison

Claude Sonnet 4.5 vs Mixtral 8x22B

Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 27.1 on the Noometry Index. Mixtral 8x22B costs 2.0× less per token, which makes it the better buy when Claude Sonnet 4.5's lead doesn't matter for your workload.

Last verified . 29 shared benchmarks.

Claude Sonnet 4.5 Anthropic

44.1

Rank #81 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 29 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 9 categories and Mixtral 8x22B in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Claude Sonnet 4.5 leads 48.4 to 15.1.
  • The biggest single-benchmark swing is MATH Level 5: 97.7% for Claude Sonnet 4.5 and 24.2% for Mixtral 8x22B.
  • Mixtral 8x22B is cheaper at $2 / $6 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.5.
  • Claude Sonnet 4.5 accepts more context: 200K tokens versus 64K.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

Claude Sonnet 4.5Mixtral 8x22B
ProviderAnthropicMistral AI
Noometry Index44.127.1
Released2025-09-292024-04-17
WeightsProprietaryOpen
Context window200K64K
Max output64K64K
Input $ / M tokens$3$2
Output $ / M tokens$15$6
Results tracked7334

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Category by category

Coding Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 47.3 (#61), Mixtral 8x22B: 24.2 (#329)

BenchmarkClaude Sonnet 4.5Mixtral 8x22B
WeirdML47.7%3.2%
LMArena Coding14891166
SWE-bench Verified71.3%—
SWE-bench Verified (bash only)71.4%—
LMArena WebDev1393—
SWE-bench Multilingual67%—
SciCode44.7%—
GSO14.7%—
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
ALE-Bench796.15—
AlgoTune1.52—
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 38.3 (#32), Mixtral 8x22B: 23.1 (#127)

BenchmarkClaude Sonnet 4.5Mixtral 8x22B
Cybench60%7.5%
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%—
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 (#125), Mixtral 8x22B: 19.9 (#248)

BenchmarkClaude Sonnet 4.5Mixtral 8x22B
LMArena Hard Prompts14621150
DTBench83.2%55.1%
Epoch Capabilities Index146.84122.03
ForecastBench61.956.3
ARC-AGI-213.6%—
SimpleBench54.3%—
Kagi LLM Benchmark57.9%—
NYT Connections (extended)37.3%—
ARC-AGI-163.7%—
CritPt1.1%—
Chess Puzzles12%—
EnigmaEval6%—
EBR-Bench2.4%—
Mystery Game Puzzles17%—
LMCA38.8%—

Math Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 32.3 (#216), Mixtral 8x22B: 22.9 (#275)

BenchmarkClaude Sonnet 4.5Mixtral 8x22B
Omni-MATH55.3%16.3%
LMArena Math14491184
MATH Level 597.7%24.2%
FrontierMath (Tiers 1-3)23.9%—
FrontierMath Tier 42.4%—
OTIS Mock AIME 2024-202577.8%—
ProofBench19%—
FrontierMath (Feb 2025 set)15.2%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 48.4 (#76), Mixtral 8x22B: 15.1 (#293)

BenchmarkClaude Sonnet 4.5Mixtral 8x22B
GPQA Diamond82.3%34.1%
MMLU-Pro86.9%46%
GPQA (HELM)68.6%33.4%
LMArena Expert14821113
Humanity's Last Exam13.7%—
SimpleQA Verified30.7%—
Vectara Hallucination Rate12%—
MMLU—77.8%

Multimodal Not comparable

Claude Sonnet 4.5: 34.8 (#89), Mixtral 8x22B: —

BenchmarkClaude Sonnet 4.5Mixtral 8x22B
VPCT39.8%—
LMArena Document1450—

Multilingual Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 53.4 (#69), Mixtral 8x22B: 32.8 (#255)

BenchmarkClaude Sonnet 4.5Mixtral 8x22B
LMArena Non-English14251128
LMArena Chinese14591116
LMArena French14581166
LMArena German14271141
LMArena Japanese13901037
LMArena Korean14031057
LMArena Russian14371158
LMArena Spanish14571151

Instruction Following Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 75.0 (#78), Mixtral 8x22B: 57.7 (#266)

BenchmarkClaude Sonnet 4.5Mixtral 8x22B
IFEval85%72.4%
LMArena Instruction Following14591147

Long Context Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 45.2 (#46), Mixtral 8x22B: 34.7 (#247)

BenchmarkClaude Sonnet 4.5Mixtral 8x22B
LMArena Longer Query14761144

Writing & Preference Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 66.5 (#34), Mixtral 8x22B: 36.9 (#262)

BenchmarkClaude Sonnet 4.5Mixtral 8x22B
LMArena Text14391162
LMArena Creative Writing14421141
WildBench85.4%71.1%
LMArena Multi-Turn14651130
EQ-Bench Creative Writing1678—

Frequently asked questions

Is Claude Sonnet 4.5 better than Mixtral 8x22B?

Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 27.1 on the Noometry Index. Mixtral 8x22B costs 2.0× 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 Mixtral 8x22B?

Mixtral 8x22B is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Sonnet 4.5 lists at $3 and $15.

Is Claude Sonnet 4.5 or Mixtral 8x22B better for coding?

Claude Sonnet 4.5 scores higher on coding benchmarks: 47.3 versus 24.2 in the Noometry coding category.

Which has the bigger context window?

Claude Sonnet 4.5 does, with 200K tokens against 64K.

How many benchmarks do Claude Sonnet 4.5 and Mixtral 8x22B share?

29 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and Mixtral 8x22B has 34.

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