Noometry

Model comparison

Claude Opus 4.8 vs Mistral 7B

Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 23.0 on the Noometry Index. Mistral 7B costs 40× 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

Mistral 7B Mistral AI

23.0

Rank #351 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Claude Opus 4.8 scores higher in 8 categories and Mistral 7B 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 8.1.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.3% for Claude Opus 4.8 and 0.3% for Mistral 7B.
  • Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $5 / $25 for Claude Opus 4.8.
  • Claude Opus 4.8 accepts more context: 1M tokens versus 8K.
  • Mistral 7B has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.8Mistral 7B
ProviderAnthropicMistral AI
Noometry Index60.723.0
Released2026-05-282023-09-27
WeightsProprietaryOpen
Context window1M8K
Max output128K8K
Input $ / M tokens$5$0.25
Output $ / M tokens$25$0.25
Results tracked6537

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Claude Opus 4.8 leads

Claude Opus 4.8: 59.9 (#12), Mistral 7B: 26.4 (#326)

BenchmarkClaude Opus 4.8Mistral 7B
LMArena Coding14901082
DeepSWE59%—
FrontierCode46.5%—
LMArena WebDev1556—
SciCode53.5%—
GSO47.1%—
WeirdML82.9%—
BigCodeBench Instruct—19.5%
BigCodeBench Complete—27.3%
ALE-Bench1,564—
HumanEval+—36%
MBPP+—42.1%

Agentic & Tool Use Not comparable

Claude Opus 4.8: 47.6 (#11), Mistral 7B: —

BenchmarkClaude Opus 4.8Mistral 7B
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), Mistral 7B: 13.1 (#336)

BenchmarkClaude Opus 4.8Mistral 7B
Chess Puzzles34%0%
LMArena Hard Prompts14821067
DTBench94.9%42.5%
Epoch Capabilities Index158.21112.21
ARC-AGI-272.1%—
SimpleBench64.8%—
Kagi LLM Benchmark88.8%—
NYT Connections (extended)91.1%—
ARC-AGI-192.5%—
CritPt20.9%—
EnigmaEval23.5%—
EBR-Bench28.6%—
Mystery Game Puzzles36%—
LMCA57.5%—
Surface Evolver Bench87.5%—
Adversarial NLI—47.1%
Bench to the Future 30.14—
BIG-Bench Hard—56.1%
ForecastBench59.9—
HellaSwag—81%
PIQA—83%
WinoGrande—75.3%

Math Claude Opus 4.8 leads

Claude Opus 4.8: 78.4 (#13), Mistral 7B: 8.1 (#325)

BenchmarkClaude Opus 4.8Mistral 7B
OTIS Mock AIME 2024-202598.3%0.3%
LMArena Math14871085
FrontierMath (Tiers 1-3)80%—
FrontierMath Tier 456.1%—
MathArena Final-Answer Competitions91.8%—
ProofBench69%—
MATH Level 5—3.7%
FrontierMath (Feb 2025 set)47.2%—
FrontierMath Tier 4 (v1)31.3%—
GSM8K—54.4%

Knowledge Claude Opus 4.8 leads

Claude Opus 4.8: 61.3 (#29), Mistral 7B: 7.4 (#311)

BenchmarkClaude Opus 4.8Mistral 7B
GPQA Diamond91%15.2%
LMArena Expert15021036
SimpleQA Verified53%—
ARC (AI2) Challenge—78.6%
BoolQ—87.4%
MMLU—62.5%
OpenBookQA—79.8%
TriviaQA—75.2%

Multimodal Not comparable

Claude Opus 4.8: 42.9 (#26), Mistral 7B: —

BenchmarkClaude Opus 4.8Mistral 7B
LMArena Vision1294—
Blueprint-Bench 214.5%—
Furniture Assembly42.5%—
LMArena Document1475—

Multilingual Claude Opus 4.8 leads

Claude Opus 4.8: 55.2 (#33), Mistral 7B: 25.8 (#283)

BenchmarkClaude Opus 4.8Mistral 7B
LMArena Non-English14501012
LMArena Chinese15071009
LMArena French14811037
LMArena German1472987
LMArena Japanese1440878
LMArena Russian14741018
LMArena Spanish14661026
LMArena Korean1432—

Instruction Following Claude Opus 4.8 leads

Claude Opus 4.8: 77.4 (#24), Mistral 7B: 54.2 (#280)

BenchmarkClaude Opus 4.8Mistral 7B
LMArena Instruction Following14761060

Long Context Claude Opus 4.8 leads

Claude Opus 4.8: 45.4 (#35), Mistral 7B: 32.2 (#271)

BenchmarkClaude Opus 4.8Mistral 7B
LMArena Longer Query14831060

Writing & Preference Claude Opus 4.8 leads

Claude Opus 4.8: 72.0 (#16), Mistral 7B: 30.7 (#286)

BenchmarkClaude Opus 4.8Mistral 7B
LMArena Text14611090
LMArena Creative Writing14541068
LMArena Multi-Turn14761062
EQ-Bench Creative Writing1840—
EQ-Bench 41281—

Frequently asked questions

Is Claude Opus 4.8 better than Mistral 7B?

Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 23.0 on the Noometry Index. Mistral 7B costs 40× 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 Mistral 7B?

Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Claude Opus 4.8 lists at $5 and $25.

Is Claude Opus 4.8 or Mistral 7B better for coding?

Claude Opus 4.8 scores higher on coding benchmarks: 59.9 versus 26.4 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.8 does, with 1M tokens against 8K.

How many benchmarks do Claude Opus 4.8 and Mistral 7B share?

21 benchmarks have published results for both models. Claude Opus 4.8 has 65 scored results on Noometry and Mistral 7B has 37.

Related comparisons

Go deeper