Noometry

Model comparison

GPT-6 Luna vs Qwen2.5 7B Instruct

GPT-6 Luna is the stronger model overall, scoring 53.3 to 29.0 on the Noometry Index.

Last verified . 6 shared benchmarks.

GPT-6 Luna OpenAI

53.3

Rank #36 Confirmed

Qwen2.5 7B Instruct Alibaba (Qwen)

29.0

Rank #320 Confirmed

Summary

  • They share 6 benchmarks with published results for both. GPT-6 Luna scores higher in 7 categories and Qwen2.5 7B Instruct in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6 Luna leads 76.1 to 12.6.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for GPT-6 Luna and 2.5% for Qwen2.5 7B Instruct.
  • GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.17 / $0.70 for Qwen2.5 7B Instruct.
  • GPT-6 Luna accepts more context: 1.05M tokens versus 131K.
  • Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.

Side by side

GPT-6 LunaQwen2.5 7B Instruct
ProviderOpenAIAlibaba (Qwen)
Noometry Index53.329.0
Released2026-09-222024-09
WeightsProprietaryOpen
Context window1.05M131K
Max output128K8K
Input $ / M tokens$0.10$0.17
Output $ / M tokens$0.50$0.70
Results tracked4215

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Category by category

Coding GPT-6 Luna leads

GPT-6 Luna: 55.5 (#25), Qwen2.5 7B Instruct: 36.5 (#208)

BenchmarkGPT-6 LunaQwen2.5 7B Instruct
DeepSWE66.6%—
FrontierCode42.4%—
LMArena WebDev1581—
SciCode54.6%—
BigCodeBench Instruct—37.6%
LMArena Coding1439—
BigCodeBench Complete—46.1%
ALE-Bench1,577—

Agentic & Tool Use GPT-6 Luna leads

GPT-6 Luna: 33.3 (#54), Qwen2.5 7B Instruct: 23.8 (#124)

BenchmarkGPT-6 LunaQwen2.5 7B Instruct
APEX-Agents44.3%—
BALROG—7.8%
GDP.pdf23%—

Reasoning GPT-6 Luna leads

GPT-6 Luna: 48.2 (#41), Qwen2.5 7B Instruct: 14.8 (#322)

BenchmarkGPT-6 LunaQwen2.5 7B Instruct
Chess Puzzles31%0%
DTBench90.1%47.7%
LMCA44.5%6.4%
Epoch Capabilities Index156.28118.51
ARC-AGI-259.3%—
NYT Connections (extended)68.7%—
ARC-AGI-186.7%—
CritPt19.4%—
LMArena Hard Prompts1411—
Mystery Game Puzzles7%—

Math GPT-6 Luna leads

GPT-6 Luna: 76.1 (#15), Qwen2.5 7B Instruct: 12.6 (#306)

BenchmarkGPT-6 LunaQwen2.5 7B Instruct
OTIS Mock AIME 2024-202598.9%2.5%
FrontierMath (Tiers 1-3)78.9%—
FrontierMath Tier 456.1%—
ProofBench64%—
Omni-MATH—29.4%
LMArena Math1416—

Knowledge GPT-6 Luna leads

GPT-6 Luna: 57.0 (#41), Qwen2.5 7B Instruct: 17.0 (#286)

BenchmarkGPT-6 LunaQwen2.5 7B Instruct
GPQA Diamond90.5%35.5%
SimpleQA Verified41.4%—
MMLU-Pro—53.9%
GPQA (HELM)—34.1%
LMArena Expert1444—
MMLU—72.9%

Multimodal Not comparable

GPT-6 Luna: 42.4 (#30), Qwen2.5 7B Instruct: —

BenchmarkGPT-6 LunaQwen2.5 7B Instruct
LMArena Vision1217—
Blueprint-Bench 231.2%—
Furniture Assembly44.2%—

Multilingual Not comparable

GPT-6 Luna: 50.5 (#117), Qwen2.5 7B Instruct: —

BenchmarkGPT-6 LunaQwen2.5 7B Instruct
LMArena Non-English1386—
LMArena Chinese1433—
LMArena French1420—
LMArena German1369—
LMArena Japanese1369—
LMArena Korean1360—
LMArena Russian1394—
LMArena Spanish1393—

Instruction Following GPT-6 Luna leads

GPT-6 Luna: 74.3 (#99), Qwen2.5 7B Instruct: 63.2 (#231)

BenchmarkGPT-6 LunaQwen2.5 7B Instruct
IFEval—74.1%
LMArena Instruction Following1409—

Long Context Not comparable

GPT-6 Luna: 43.0 (#111), Qwen2.5 7B Instruct: —

BenchmarkGPT-6 LunaQwen2.5 7B Instruct
LMArena Longer Query1409—

Writing & Preference GPT-6 Luna leads

GPT-6 Luna: 58.3 (#119), Qwen2.5 7B Instruct: 48.8 (#195)

BenchmarkGPT-6 LunaQwen2.5 7B Instruct
LMArena Text1391—
LMArena Creative Writing1363—
WildBench—73.1%
LMArena Multi-Turn1396—

Frequently asked questions

Is GPT-6 Luna better than Qwen2.5 7B Instruct?

GPT-6 Luna is the stronger model overall, scoring 53.3 to 29.0 on the Noometry Index.

Which is cheaper, GPT-6 Luna or Qwen2.5 7B Instruct?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Qwen2.5 7B Instruct lists at $0.17 and $0.70.

Is GPT-6 Luna or Qwen2.5 7B Instruct better for coding?

GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 36.5 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 131K.

How many benchmarks do GPT-6 Luna and Qwen2.5 7B Instruct share?

6 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Qwen2.5 7B Instruct has 15.

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