Noometry

Model comparison

Claude Opus 4.5 vs Mixtral 8x7B

Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 27.1 on the Noometry Index. Mixtral 8x7B costs 14× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.

Last verified . 21 shared benchmarks.

Claude Opus 4.5 Anthropic

50.5

Rank #47 Confirmed

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Claude Opus 4.5 scores higher in 8 categories and Mixtral 8x7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Claude Opus 4.5 leads 56.5 to 11.0.
  • The biggest single-benchmark swing is GPQA Diamond: 86% for Claude Opus 4.5 and 30.6% for Mixtral 8x7B.
  • Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $5 / $25 for Claude Opus 4.5.
  • Claude Opus 4.5 accepts more context: 200K tokens versus 32K.
  • Mixtral 8x7B has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.5Mixtral 8x7B
ProviderAnthropicMistral AI
Noometry Index50.527.1
Released2025-11-012023-12-11
WeightsProprietaryOpen
Context window200K32K
Max output64K32K
Input $ / M tokens$5$0.70
Output $ / M tokens$25$0.70
Results tracked6938

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Category by category

Coding Claude Opus 4.5 leads

Claude Opus 4.5: 54.8 (#27), Mixtral 8x7B: 32.8 (#269)

BenchmarkClaude Opus 4.5Mixtral 8x7B
LMArena Coding15041126
SWE-bench Verified76.7%—
SWE-bench Verified (bash only)76.8%—
LMArena WebDev1494—
SWE-bench Multilingual70.7%—
GSO26.5%—
WeirdML63.7%—
ALE-Bench1,025—
AlgoTune1.77—
HumanEval+—39.6%
MBPP+—49.7%

Agentic & Tool Use Not comparable

Claude Opus 4.5: 47.3 (#12), Mixtral 8x7B: —

BenchmarkClaude Opus 4.5Mixtral 8x7B
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%—
Cybench82%—
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 8x7B: 18.2 (#285)

BenchmarkClaude Opus 4.5Mixtral 8x7B
LMArena Hard Prompts14761115
DTBench89.9%49.6%
Epoch Capabilities Index150.09118.47
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%—
Adversarial NLI—55.2%
HellaSwag—86.7%
PIQA—83.6%
WinoGrande—77.2%

Math Claude Opus 4.5 leads

Claude Opus 4.5: 38.6 (#132), Mixtral 8x7B: 18.8 (#289)

BenchmarkClaude Opus 4.5Mixtral 8x7B
LMArena Math14631147
FrontierMath (Tiers 1-3)34.4%—
FrontierMath Tier 44.9%—
OTIS Mock AIME 2024-202586.1%—
ProofBench36%—
Omni-MATH—10.5%
MATH Level 5—10%
FrontierMath (Feb 2025 set)20.7%—
FrontierMath Tier 4 (v1)4.2%—
GSM8K—74.4%

Knowledge Claude Opus 4.5 leads

Claude Opus 4.5: 56.5 (#44), Mixtral 8x7B: 11.0 (#301)

BenchmarkClaude Opus 4.5Mixtral 8x7B
GPQA Diamond86%30.6%
LMArena Expert14871088
Humanity's Last Exam25.2%—
SimpleQA Verified45.7%—
MMLU-Pro—33.5%
Vectara Hallucination Rate10.9%—
GPQA (HELM)—29.6%
ARC (AI2) Challenge—87.3%
MMLU—70.6%
OpenBookQA—85.8%
TriviaQA—82.2%

Multimodal Not comparable

Claude Opus 4.5: 31.4 (#107), Mixtral 8x7B: —

BenchmarkClaude Opus 4.5Mixtral 8x7B
GeoBench75%—
VPCT40%—
Furniture Assembly28.3%—
LMArena Document1462—

Multilingual Claude Opus 4.5 leads

Claude Opus 4.5: 54.3 (#47), Mixtral 8x7B: 29.6 (#266)

BenchmarkClaude Opus 4.5Mixtral 8x7B
LMArena Non-English14381077
LMArena Chinese14701055
LMArena French14711166
LMArena German14491114
LMArena Japanese1416931
LMArena Korean1424968
LMArena Russian14471090
LMArena Spanish14581111

Instruction Following Claude Opus 4.5 leads

Claude Opus 4.5: 77.5 (#19), Mixtral 8x7B: 51.0 (#297)

BenchmarkClaude Opus 4.5Mixtral 8x7B
LMArena Instruction Following14781109
IFEval—57.5%

Long Context Claude Opus 4.5 leads

Claude Opus 4.5: 46.5 (#22), Mixtral 8x7B: 33.4 (#260)

BenchmarkClaude Opus 4.5Mixtral 8x7B
LMArena Longer Query14801103
CL-bench21.1%—

Writing & Preference Claude Opus 4.5 leads

Claude Opus 4.5: 68.1 (#28), Mixtral 8x7B: 34.2 (#270)

BenchmarkClaude Opus 4.5Mixtral 8x7B
LMArena Text14511132
LMArena Creative Writing14451109
LMArena Multi-Turn14661115
EQ-Bench Creative Writing1687—
WildBench—67.3%

Frequently asked questions

Is Claude Opus 4.5 better than Mixtral 8x7B?

Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 27.1 on the Noometry Index. Mixtral 8x7B costs 14× 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 8x7B?

Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; Claude Opus 4.5 lists at $5 and $25.

Is Claude Opus 4.5 or Mixtral 8x7B better for coding?

Claude Opus 4.5 scores higher on coding benchmarks: 54.8 versus 32.8 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.5 does, with 200K tokens against 32K.

How many benchmarks do Claude Opus 4.5 and Mixtral 8x7B share?

21 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and Mixtral 8x7B has 38.

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