Noometry

Model comparison

Claude Opus 4.5 vs Mixtral 8x22B

Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 27.1 on the Noometry Index. Mixtral 8x22B costs 3.3× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.

Last verified . 23 shared benchmarks.

Claude Opus 4.5 Anthropic

50.5

Rank #47 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 23 benchmarks with published results for both. Claude Opus 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 Opus 4.5 leads 56.5 to 15.1.
  • The biggest single-benchmark swing is Cybench: 82% for Claude Opus 4.5 and 7.5% for Mixtral 8x22B.
  • Mixtral 8x22B is cheaper at $2 / $6 per million input/output tokens, against $5 / $25 for Claude Opus 4.5.
  • Claude Opus 4.5 accepts more context: 200K tokens versus 64K.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.5Mixtral 8x22B
ProviderAnthropicMistral AI
Noometry Index50.527.1
Released2025-11-012024-04-17
WeightsProprietaryOpen
Context window200K64K
Max output64K64K
Input $ / M tokens$5$2
Output $ / M tokens$25$6
Results tracked6934

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Category by category

Coding Claude Opus 4.5 leads

Claude Opus 4.5: 54.8 (#27), Mixtral 8x22B: 24.2 (#329)

BenchmarkClaude Opus 4.5Mixtral 8x22B
WeirdML63.7%3.2%
LMArena Coding15041166
SWE-bench Verified76.7%—
SWE-bench Verified (bash only)76.8%—
LMArena WebDev1494—
SWE-bench Multilingual70.7%—
GSO26.5%—
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
ALE-Bench1,025—
AlgoTune1.77—
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use Claude Opus 4.5 leads

Claude Opus 4.5: 47.3 (#12), Mixtral 8x22B: 23.1 (#127)

BenchmarkClaude Opus 4.5Mixtral 8x22B
Cybench82%7.5%
Terminal-Bench63.1%—
Berkeley Function Calling Leaderboard77.5%—
GDPval45.5%—
Remote Labor Index3.8%—
τ²-bench Airline84%—
τ²-bench Banking24.7%—
τ²-bench Retail79.6%—
τ²-bench Telecom92.3%—
DeepResearch Bench54.8%—
OSWorld66.3%—
BALROG43.5%—
LMArena Search1180—
METR Time Horizons75%—
Vending-Bench 24,967—

Reasoning Claude Opus 4.5 leads

Claude Opus 4.5: 42.6 (#51), Mixtral 8x22B: 19.9 (#248)

BenchmarkClaude Opus 4.5Mixtral 8x22B
LMArena Hard Prompts14761150
DTBench89.9%55.1%
Epoch Capabilities Index150.09122.03
ForecastBench60.756.3
ARC-AGI-237.6%—
SimpleBench62%—
Kagi LLM Benchmark80.2%—
NYT Connections (extended)52.5%—
ARC-AGI-180%—
Chess Puzzles12%—
EnigmaEval11.9%—
EBR-Bench14.3%—
Mystery Game Puzzles22%—
LMCA44.5%—

Math Claude Opus 4.5 leads

Claude Opus 4.5: 38.6 (#132), Mixtral 8x22B: 22.9 (#275)

BenchmarkClaude Opus 4.5Mixtral 8x22B
LMArena Math14631184
FrontierMath (Tiers 1-3)34.4%—
FrontierMath Tier 44.9%—
OTIS Mock AIME 2024-202586.1%—
ProofBench36%—
Omni-MATH—16.3%
MATH Level 5—24.2%
FrontierMath (Feb 2025 set)20.7%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Claude Opus 4.5 leads

Claude Opus 4.5: 56.5 (#44), Mixtral 8x22B: 15.1 (#293)

BenchmarkClaude Opus 4.5Mixtral 8x22B
GPQA Diamond86%34.1%
LMArena Expert14871113
Humanity's Last Exam25.2%—
SimpleQA Verified45.7%—
MMLU-Pro—46%
Vectara Hallucination Rate10.9%—
GPQA (HELM)—33.4%
MMLU—77.8%

Multimodal Not comparable

Claude Opus 4.5: 31.4 (#107), Mixtral 8x22B: —

BenchmarkClaude Opus 4.5Mixtral 8x22B
GeoBench75%—
VPCT40%—
Furniture Assembly28.3%—
LMArena Document1462—

Multilingual Claude Opus 4.5 leads

Claude Opus 4.5: 54.3 (#47), Mixtral 8x22B: 32.8 (#255)

BenchmarkClaude Opus 4.5Mixtral 8x22B
LMArena Non-English14381128
LMArena Chinese14701116
LMArena French14711166
LMArena German14491141
LMArena Japanese14161037
LMArena Korean14241057
LMArena Russian14471158
LMArena Spanish14581151

Instruction Following Claude Opus 4.5 leads

Claude Opus 4.5: 77.5 (#19), Mixtral 8x22B: 57.7 (#266)

BenchmarkClaude Opus 4.5Mixtral 8x22B
LMArena Instruction Following14781147
IFEval—72.4%

Long Context Claude Opus 4.5 leads

Claude Opus 4.5: 46.5 (#22), Mixtral 8x22B: 34.7 (#247)

BenchmarkClaude Opus 4.5Mixtral 8x22B
LMArena Longer Query14801144
CL-bench21.1%—

Writing & Preference Claude Opus 4.5 leads

Claude Opus 4.5: 68.1 (#28), Mixtral 8x22B: 36.9 (#262)

BenchmarkClaude Opus 4.5Mixtral 8x22B
LMArena Text14511162
LMArena Creative Writing14451141
LMArena Multi-Turn14661130
EQ-Bench Creative Writing1687—
WildBench—71.1%

Frequently asked questions

Is Claude Opus 4.5 better than Mixtral 8x22B?

Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 27.1 on the Noometry Index. Mixtral 8x22B costs 3.3× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 4.5 or Mixtral 8x22B?

Mixtral 8x22B is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Opus 4.5 lists at $5 and $25.

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

Claude Opus 4.5 scores higher on coding benchmarks: 54.8 versus 24.2 in the Noometry coding category.

Which has the bigger context window?

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

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

23 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and Mixtral 8x22B has 34.

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