Model comparison

GPT-6 Luna vs Mistral 7B

GPT-6 Luna is the stronger model overall, scoring 53.3 to 23.0 on the Noometry Index.

Last verified . 21 shared benchmarks.

GPT-6 Luna OpenAI

53.3

Rank #36 Confirmed

Mistral 7B Mistral AI

23.0

Rank #351 Confirmed

Summary

  • They share 21 benchmarks with published results for both. GPT-6 Luna 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 GPT-6 Luna leads 76.1 to 8.1.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for GPT-6 Luna and 0.3% for Mistral 7B.
  • GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.25 / $0.25 for Mistral 7B.
  • GPT-6 Luna accepts more context: 1.05M tokens versus 8K.
  • Mistral 7B has downloadable open weights; the other is API-only.

Side by side

GPT-6 Luna and Mistral 7B specifications
GPT-6 LunaMistral 7B
ProviderOpenAIMistral AI
Noometry Index53.323.0
Released2026-09-222023-09-27
WeightsProprietaryOpen
Context window1.05M8K
Max output128K8K
Input $ / M tokens$0.10$0.25
Output $ / M tokens$0.50$0.25
Results tracked4237

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Category by category

Coding GPT-6 Luna leads

GPT-6 Luna: 55.5 (#25), Mistral 7B: 26.4 (#326)

Coding benchmarks
BenchmarkGPT-6 LunaMistral 7B
LMArena Coding14391082
DeepSWE66.6%—
FrontierCode42.4%—
LMArena WebDev1581—
SciCode54.6%—
BigCodeBench Instruct—19.5%
BigCodeBench Complete—27.3%
ALE-Bench1,577—
HumanEval+—36%
MBPP+—42.1%

Agentic & Tool Use Not comparable

GPT-6 Luna: 33.3 (#54), Mistral 7B: —

Agentic & Tool Use benchmarks
BenchmarkGPT-6 LunaMistral 7B
APEX-Agents44.3%—
GDP.pdf23%—

Reasoning GPT-6 Luna leads

GPT-6 Luna: 48.2 (#41), Mistral 7B: 13.1 (#336)

Reasoning benchmarks
BenchmarkGPT-6 LunaMistral 7B
Chess Puzzles31%0%
LMArena Hard Prompts14111067
DTBench90.1%42.5%
Epoch Capabilities Index156.28112.21
ARC-AGI-259.3%—
NYT Connections (extended)68.7%—
ARC-AGI-186.7%—
CritPt19.4%—
Mystery Game Puzzles7%—
LMCA44.5%—
Adversarial NLI—47.1%
BIG-Bench Hard—56.1%
HellaSwag—81%
PIQA—83%
WinoGrande—75.3%

Math GPT-6 Luna leads

GPT-6 Luna: 76.1 (#15), Mistral 7B: 8.1 (#325)

Math benchmarks
BenchmarkGPT-6 LunaMistral 7B
OTIS Mock AIME 2024-202598.9%0.3%
LMArena Math14161085
FrontierMath (Tiers 1-3)78.9%—
FrontierMath Tier 456.1%—
ProofBench64%—
MATH Level 5—3.7%
GSM8K—54.4%

Knowledge GPT-6 Luna leads

GPT-6 Luna: 57.0 (#41), Mistral 7B: 7.4 (#311)

Knowledge benchmarks
BenchmarkGPT-6 LunaMistral 7B
GPQA Diamond90.5%15.2%
LMArena Expert14441036
SimpleQA Verified41.4%—
ARC (AI2) Challenge—78.6%
BoolQ—87.4%
MMLU—62.5%
OpenBookQA—79.8%
TriviaQA—75.2%

Multimodal Not comparable

GPT-6 Luna: 42.4 (#30), Mistral 7B: —

Multimodal benchmarks
BenchmarkGPT-6 LunaMistral 7B
LMArena Vision1217—
Blueprint-Bench 231.2%—
Furniture Assembly44.2%—

Multilingual GPT-6 Luna leads

GPT-6 Luna: 50.5 (#117), Mistral 7B: 25.8 (#283)

Multilingual benchmarks
BenchmarkGPT-6 LunaMistral 7B
LMArena Non-English13861012
LMArena Chinese14331009
LMArena French14201037
LMArena German1369987
LMArena Japanese1369878
LMArena Russian13941018
LMArena Spanish13931026
LMArena Korean1360—

Instruction Following GPT-6 Luna leads

GPT-6 Luna: 74.3 (#99), Mistral 7B: 54.2 (#280)

Instruction Following benchmarks
BenchmarkGPT-6 LunaMistral 7B
LMArena Instruction Following14091060

Long Context GPT-6 Luna leads

GPT-6 Luna: 43.0 (#111), Mistral 7B: 32.2 (#271)

Long Context benchmarks
BenchmarkGPT-6 LunaMistral 7B
LMArena Longer Query14091060

Writing & Preference GPT-6 Luna leads

GPT-6 Luna: 58.3 (#119), Mistral 7B: 30.7 (#286)

Writing & Preference benchmarks
BenchmarkGPT-6 LunaMistral 7B
LMArena Text13911090
LMArena Creative Writing13631068
LMArena Multi-Turn13961062

Frequently asked questions

Is GPT-6 Luna better than Mistral 7B?

GPT-6 Luna is the stronger model overall, scoring 53.3 to 23.0 on the Noometry Index.

Which is cheaper, GPT-6 Luna or Mistral 7B?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Mistral 7B lists at $0.25 and $0.25.

Is GPT-6 Luna or Mistral 7B better for coding?

GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 26.4 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 8K.

How many benchmarks do GPT-6 Luna and Mistral 7B share?

21 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Mistral 7B has 37.

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