Noometry

Model comparison

GPT-6 Luna vs Mistral Nemo

GPT-6 Luna is the stronger model overall, scoring 53.3 to 26.4 on the Noometry Index.

Last verified . 3 shared benchmarks.

GPT-6 Luna OpenAI

53.3

Rank #36 Confirmed

Mistral Nemo Mistral AI

26.4

Rank #337 Confirmed

Summary

  • They share 3 benchmarks with published results for both. GPT-6 Luna scores higher in 5 categories and Mistral Nemo in 0 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6 Luna leads 76.1 to 25.5.
  • The biggest single-benchmark swing is GPQA Diamond: 90.5% for GPT-6 Luna and 29.9% for Mistral Nemo.
  • Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.10 / $0.50 for GPT-6 Luna.
  • GPT-6 Luna accepts more context: 1.05M tokens versus 128K.
  • Mistral Nemo has downloadable open weights; the other is API-only.

Side by side

GPT-6 LunaMistral Nemo
ProviderOpenAIMistral AI
Noometry Index53.326.4
Released2026-09-222024-07-01
WeightsProprietaryOpen
Context window1.05M128K
Max output128K128K
Input $ / M tokens$0.10$0.15
Output $ / M tokens$0.50$0.15
Results tracked4210

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Category by category

Coding Not comparable

GPT-6 Luna: 55.5 (#25), Mistral Nemo: —

BenchmarkGPT-6 LunaMistral Nemo
DeepSWE66.6%—
FrontierCode42.4%—
LMArena WebDev1581—
SciCode54.6%—
LMArena Coding1439—
ALE-Bench1,577—

Agentic & Tool Use GPT-6 Luna leads

GPT-6 Luna: 33.3 (#54), Mistral Nemo: 23.5 (#125)

BenchmarkGPT-6 LunaMistral Nemo
APEX-Agents44.3%—
Berkeley Function Calling Leaderboard—27.6%
BALROG—17.6%
GDP.pdf23%—

Reasoning GPT-6 Luna leads

GPT-6 Luna: 48.2 (#41), Mistral Nemo: 20.7 (#232)

BenchmarkGPT-6 LunaMistral Nemo
DTBench90.1%48.6%
Epoch Capabilities Index156.28118.68
ARC-AGI-259.3%—
NYT Connections (extended)68.7%—
ARC-AGI-186.7%—
CritPt19.4%—
Chess Puzzles31%—
LMArena Hard Prompts1411—
Mystery Game Puzzles7%—
LMCA44.5%—
PIQA—83.5%

Math GPT-6 Luna leads

GPT-6 Luna: 76.1 (#15), Mistral Nemo: 25.5 (#268)

BenchmarkGPT-6 LunaMistral Nemo
FrontierMath (Tiers 1-3)78.9%—
FrontierMath Tier 456.1%—
OTIS Mock AIME 2024-202598.9%—
ProofBench64%—
LMArena Math1416—
MATH Level 5—10.8%
GSM8K—84.2%

Knowledge GPT-6 Luna leads

GPT-6 Luna: 57.0 (#41), Mistral Nemo: 12.3 (#298)

BenchmarkGPT-6 LunaMistral Nemo
GPQA Diamond90.5%29.9%
SimpleQA Verified41.4%—
LMArena Expert1444—
BoolQ—82.5%

Multimodal Not comparable

GPT-6 Luna: 42.4 (#30), Mistral Nemo: —

BenchmarkGPT-6 LunaMistral Nemo
LMArena Vision1217—
Blueprint-Bench 231.2%—
Furniture Assembly44.2%—

Multilingual Not comparable

GPT-6 Luna: 50.5 (#117), Mistral Nemo: —

BenchmarkGPT-6 LunaMistral Nemo
LMArena Non-English1386—
LMArena Chinese1433—
LMArena French1420—
LMArena German1369—
LMArena Japanese1369—
LMArena Korean1360—
LMArena Russian1394—
LMArena Spanish1393—

Instruction Following Not comparable

GPT-6 Luna: 74.3 (#99), Mistral Nemo: —

BenchmarkGPT-6 LunaMistral Nemo
LMArena Instruction Following1409—

Long Context Not comparable

GPT-6 Luna: 43.0 (#111), Mistral Nemo: —

BenchmarkGPT-6 LunaMistral Nemo
LMArena Longer Query1409—

Writing & Preference GPT-6 Luna leads

GPT-6 Luna: 58.3 (#119), Mistral Nemo: 28.5 (#296)

BenchmarkGPT-6 LunaMistral Nemo
LMArena Text1391—
LMArena Creative Writing1363—
EQ-Bench Creative Writing—881
LMArena Multi-Turn1396—

Frequently asked questions

Is GPT-6 Luna better than Mistral Nemo?

GPT-6 Luna is the stronger model overall, scoring 53.3 to 26.4 on the Noometry Index.

Which is cheaper, GPT-6 Luna or Mistral Nemo?

Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GPT-6 Luna lists at $0.10 and $0.50.

Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 128K.

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

3 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Mistral Nemo has 10.

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