Noometry

Model comparison

Claude Opus 4.8 vs Mixtral 8x22B

Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 27.1 on the Noometry Index. Mixtral 8x22B costs 3.3× less per token, which makes it the better buy when Claude Opus 4.8's lead doesn't matter for your workload.

Last verified . 22 shared benchmarks.

Claude Opus 4.8 Anthropic

60.7

Rank #13 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 22 benchmarks with published results for both. Claude Opus 4.8 scores higher in 9 categories and Mixtral 8x22B in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where Claude Opus 4.8 leads 78.4 to 22.9.
  • The biggest single-benchmark swing is WeirdML: 82.9% for Claude Opus 4.8 and 3.2% for Mixtral 8x22B.
  • Mixtral 8x22B is cheaper at $2 / $6 per million input/output tokens, against $5 / $25 for Claude Opus 4.8.
  • Claude Opus 4.8 accepts more context: 1M tokens versus 64K.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.8Mixtral 8x22B
ProviderAnthropicMistral AI
Noometry Index60.727.1
Released2026-05-282024-04-17
WeightsProprietaryOpen
Context window1M64K
Max output128K64K
Input $ / M tokens$5$2
Output $ / M tokens$25$6
Results tracked6534

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Category by category

Coding Claude Opus 4.8 leads

Claude Opus 4.8: 59.9 (#12), Mixtral 8x22B: 24.2 (#329)

BenchmarkClaude Opus 4.8Mixtral 8x22B
WeirdML82.9%3.2%
LMArena Coding14901166
DeepSWE59%—
FrontierCode46.5%—
LMArena WebDev1556—
SciCode53.5%—
GSO47.1%—
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
ALE-Bench1,564—
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use Claude Opus 4.8 leads

Claude Opus 4.8: 47.6 (#11), Mixtral 8x22B: 23.1 (#127)

BenchmarkClaude Opus 4.8Mixtral 8x22B
APEX-Agents48.9%—
OSWorld 2.020.6%—
Remote Labor Index8.3%—
τ²-bench Banking39.7%—
Cybench—7.5%
DeepResearch Bench50.2%—
PostTrainBench33.8%—
GBAEval70.9%—
GDP.pdf24%—
LMArena Search1204—
Vending-Bench 25,787—

Reasoning Claude Opus 4.8 leads

Claude Opus 4.8: 64.7 (#16), Mixtral 8x22B: 19.9 (#248)

BenchmarkClaude Opus 4.8Mixtral 8x22B
LMArena Hard Prompts14821150
DTBench94.9%55.1%
Epoch Capabilities Index158.21122.03
ForecastBench59.956.3
ARC-AGI-272.1%—
SimpleBench64.8%—
Kagi LLM Benchmark88.8%—
NYT Connections (extended)91.1%—
ARC-AGI-192.5%—
CritPt20.9%—
Chess Puzzles34%—
EnigmaEval23.5%—
EBR-Bench28.6%—
Mystery Game Puzzles36%—
LMCA57.5%—
Surface Evolver Bench87.5%—
Bench to the Future 30.14—

Math Claude Opus 4.8 leads

Claude Opus 4.8: 78.4 (#13), Mixtral 8x22B: 22.9 (#275)

BenchmarkClaude Opus 4.8Mixtral 8x22B
LMArena Math14871184
FrontierMath (Tiers 1-3)80%—
FrontierMath Tier 456.1%—
MathArena Final-Answer Competitions91.8%—
OTIS Mock AIME 2024-202598.3%—
ProofBench69%—
Omni-MATH—16.3%
MATH Level 5—24.2%
FrontierMath (Feb 2025 set)47.2%—
FrontierMath Tier 4 (v1)31.3%—

Knowledge Claude Opus 4.8 leads

Claude Opus 4.8: 61.3 (#29), Mixtral 8x22B: 15.1 (#293)

BenchmarkClaude Opus 4.8Mixtral 8x22B
GPQA Diamond91%34.1%
LMArena Expert15021113
SimpleQA Verified53%—
MMLU-Pro—46%
GPQA (HELM)—33.4%
MMLU—77.8%

Multimodal Not comparable

Claude Opus 4.8: 42.9 (#26), Mixtral 8x22B: —

BenchmarkClaude Opus 4.8Mixtral 8x22B
LMArena Vision1294—
Blueprint-Bench 214.5%—
Furniture Assembly42.5%—
LMArena Document1475—

Multilingual Claude Opus 4.8 leads

Claude Opus 4.8: 55.2 (#33), Mixtral 8x22B: 32.8 (#255)

BenchmarkClaude Opus 4.8Mixtral 8x22B
LMArena Non-English14501128
LMArena Chinese15071116
LMArena French14811166
LMArena German14721141
LMArena Japanese14401037
LMArena Korean14321057
LMArena Russian14741158
LMArena Spanish14661151

Instruction Following Claude Opus 4.8 leads

Claude Opus 4.8: 77.4 (#24), Mixtral 8x22B: 57.7 (#266)

BenchmarkClaude Opus 4.8Mixtral 8x22B
LMArena Instruction Following14761147
IFEval—72.4%

Long Context Claude Opus 4.8 leads

Claude Opus 4.8: 45.4 (#35), Mixtral 8x22B: 34.7 (#247)

BenchmarkClaude Opus 4.8Mixtral 8x22B
LMArena Longer Query14831144

Writing & Preference Claude Opus 4.8 leads

Claude Opus 4.8: 72.0 (#16), Mixtral 8x22B: 36.9 (#262)

BenchmarkClaude Opus 4.8Mixtral 8x22B
LMArena Text14611162
LMArena Creative Writing14541141
LMArena Multi-Turn14761130
EQ-Bench Creative Writing1840—
WildBench—71.1%
EQ-Bench 41281—

Frequently asked questions

Is Claude Opus 4.8 better than Mixtral 8x22B?

Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 27.1 on the Noometry Index. Mixtral 8x22B costs 3.3× less per token, which makes it the better buy when Claude Opus 4.8's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 4.8 or Mixtral 8x22B?

Mixtral 8x22B is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Opus 4.8 lists at $5 and $25.

Is Claude Opus 4.8 or Mixtral 8x22B better for coding?

Claude Opus 4.8 scores higher on coding benchmarks: 59.9 versus 24.2 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.8 does, with 1M tokens against 64K.

How many benchmarks do Claude Opus 4.8 and Mixtral 8x22B share?

22 benchmarks have published results for both models. Claude Opus 4.8 has 65 scored results on Noometry and Mixtral 8x22B has 34.

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