Noometry

Model comparison

Claude Opus 4.8 vs Mixtral 8x7B

Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 27.1 on the Noometry Index. Mixtral 8x7B costs 14× less per token, which makes it the better buy when Claude Opus 4.8's lead doesn't matter for your workload.

Last verified . 21 shared benchmarks.

Claude Opus 4.8 Anthropic

60.7

Rank #13 Confirmed

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Claude Opus 4.8 scores higher in 8 categories and Mixtral 8x7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Claude Opus 4.8 leads 78.4 to 18.8.
  • The biggest single-benchmark swing is GPQA Diamond: 91% for Claude Opus 4.8 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 4.8.
  • Claude Opus 4.8 accepts more context: 1M tokens versus 32K.
  • Mixtral 8x7B has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.8Mixtral 8x7B
ProviderAnthropicMistral AI
Noometry Index60.727.1
Released2026-05-282023-12-11
WeightsProprietaryOpen
Context window1M32K
Max output128K32K
Input $ / M tokens$5$0.70
Output $ / M tokens$25$0.70
Results tracked6538

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Category by category

Coding Claude Opus 4.8 leads

Claude Opus 4.8: 59.9 (#12), Mixtral 8x7B: 32.8 (#269)

BenchmarkClaude Opus 4.8Mixtral 8x7B
LMArena Coding14901126
DeepSWE59%—
FrontierCode46.5%—
LMArena WebDev1556—
SciCode53.5%—
GSO47.1%—
WeirdML82.9%—
ALE-Bench1,564—
HumanEval+—39.6%
MBPP+—49.7%

Agentic & Tool Use Not comparable

Claude Opus 4.8: 47.6 (#11), Mixtral 8x7B: —

BenchmarkClaude Opus 4.8Mixtral 8x7B
APEX-Agents48.9%—
OSWorld 2.020.6%—
Remote Labor Index8.3%—
τ²-bench Banking39.7%—
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 8x7B: 18.2 (#285)

BenchmarkClaude Opus 4.8Mixtral 8x7B
LMArena Hard Prompts14821115
DTBench94.9%49.6%
Epoch Capabilities Index158.21118.47
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%—
Adversarial NLI—55.2%
Bench to the Future 30.14—
HellaSwag—86.7%
PIQA—83.6%
WinoGrande—77.2%

Math Claude Opus 4.8 leads

Claude Opus 4.8: 78.4 (#13), Mixtral 8x7B: 18.8 (#289)

BenchmarkClaude Opus 4.8Mixtral 8x7B
LMArena Math14871147
FrontierMath (Tiers 1-3)80%—
FrontierMath Tier 456.1%—
MathArena Final-Answer Competitions91.8%—
OTIS Mock AIME 2024-202598.3%—
ProofBench69%—
Omni-MATH—10.5%
MATH Level 5—10%
FrontierMath (Feb 2025 set)47.2%—
FrontierMath Tier 4 (v1)31.3%—
GSM8K—74.4%

Knowledge Claude Opus 4.8 leads

Claude Opus 4.8: 61.3 (#29), Mixtral 8x7B: 11.0 (#301)

BenchmarkClaude Opus 4.8Mixtral 8x7B
GPQA Diamond91%30.6%
LMArena Expert15021088
SimpleQA Verified53%—
MMLU-Pro—33.5%
GPQA (HELM)—29.6%
ARC (AI2) Challenge—87.3%
MMLU—70.6%
OpenBookQA—85.8%
TriviaQA—82.2%

Multimodal Not comparable

Claude Opus 4.8: 42.9 (#26), Mixtral 8x7B: —

BenchmarkClaude Opus 4.8Mixtral 8x7B
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 8x7B: 29.6 (#266)

BenchmarkClaude Opus 4.8Mixtral 8x7B
LMArena Non-English14501077
LMArena Chinese15071055
LMArena French14811166
LMArena German14721114
LMArena Japanese1440931
LMArena Korean1432968
LMArena Russian14741090
LMArena Spanish14661111

Instruction Following Claude Opus 4.8 leads

Claude Opus 4.8: 77.4 (#24), Mixtral 8x7B: 51.0 (#297)

BenchmarkClaude Opus 4.8Mixtral 8x7B
LMArena Instruction Following14761109
IFEval—57.5%

Long Context Claude Opus 4.8 leads

Claude Opus 4.8: 45.4 (#35), Mixtral 8x7B: 33.4 (#260)

BenchmarkClaude Opus 4.8Mixtral 8x7B
LMArena Longer Query14831103

Writing & Preference Claude Opus 4.8 leads

Claude Opus 4.8: 72.0 (#16), Mixtral 8x7B: 34.2 (#270)

BenchmarkClaude Opus 4.8Mixtral 8x7B
LMArena Text14611132
LMArena Creative Writing14541109
LMArena Multi-Turn14761115
EQ-Bench Creative Writing1840—
WildBench—67.3%
EQ-Bench 41281—

Frequently asked questions

Is Claude Opus 4.8 better than Mixtral 8x7B?

Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 27.1 on the Noometry Index. Mixtral 8x7B costs 14× 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 8x7B?

Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; Claude Opus 4.8 lists at $5 and $25.

Is Claude Opus 4.8 or Mixtral 8x7B better for coding?

Claude Opus 4.8 scores higher on coding benchmarks: 59.9 versus 32.8 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.8 does, with 1M tokens against 32K.

How many benchmarks do Claude Opus 4.8 and Mixtral 8x7B share?

21 benchmarks have published results for both models. Claude Opus 4.8 has 65 scored results on Noometry and Mixtral 8x7B has 38.

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