Model comparison

GPT-6 Luna vs Yi-1.5-34B

GPT-6 Luna is the stronger model overall, scoring 53.3 to 30.6 on the Noometry Index.

Last verified . 18 shared benchmarks.

GPT-6 Luna OpenAI

53.3

Rank #36 Confirmed

Yi-1.5-34B 01.AI

30.6

Rank #289 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GPT-6 Luna scores higher in 8 categories and Yi-1.5-34B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6 Luna leads 76.1 to 27.5.
  • The biggest single-benchmark swing is GPQA Diamond: 90.5% for GPT-6 Luna and 32% for Yi-1.5-34B.
  • Yi-1.5-34B has downloadable open weights; the other is API-only.

Side by side

GPT-6 Luna and Yi-1.5-34B specifications
GPT-6 LunaYi-1.5-34B
ProviderOpenAI01.AI
Noometry Index53.330.6
Released2026-09-222024-05-13
WeightsProprietaryOpen
Context window1.05M—
Max output128K—
Input $ / M tokens$0.10—
Output $ / M tokens$0.50—
Results tracked4221

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Category by category

Coding GPT-6 Luna leads

GPT-6 Luna: 55.5 (#25), Yi-1.5-34B: 32.4 (#272)

Coding benchmarks
BenchmarkGPT-6 LunaYi-1.5-34B
LMArena Coding14391169
DeepSWE66.6%—
FrontierCode42.4%—
LMArena WebDev1581—
SciCode54.6%—
BigCodeBench Instruct—33.9%
BigCodeBench Complete—43.8%
ALE-Bench1,577—

Agentic & Tool Use Not comparable

GPT-6 Luna: 33.3 (#54), Yi-1.5-34B: —

Agentic & Tool Use benchmarks
BenchmarkGPT-6 LunaYi-1.5-34B
APEX-Agents44.3%—
GDP.pdf23%—

Reasoning GPT-6 Luna leads

GPT-6 Luna: 48.2 (#41), Yi-1.5-34B: 22.5 (#191)

Reasoning benchmarks
BenchmarkGPT-6 LunaYi-1.5-34B
LMArena Hard Prompts14111160
ARC-AGI-259.3%—
NYT Connections (extended)68.7%—
ARC-AGI-186.7%—
CritPt19.4%—
Chess Puzzles31%—
Mystery Game Puzzles7%—
DTBench90.1%—
LMCA44.5%—
Epoch Capabilities Index156.28—

Math GPT-6 Luna leads

GPT-6 Luna: 76.1 (#15), Yi-1.5-34B: 27.5 (#249)

Math benchmarks
BenchmarkGPT-6 LunaYi-1.5-34B
LMArena Math14161182
FrontierMath (Tiers 1-3)78.9%—
FrontierMath Tier 456.1%—
OTIS Mock AIME 2024-202598.9%—
ProofBench64%—
MATH Level 5—25.5%

Knowledge GPT-6 Luna leads

GPT-6 Luna: 57.0 (#41), Yi-1.5-34B: 14.8 (#295)

Knowledge benchmarks
BenchmarkGPT-6 LunaYi-1.5-34B
GPQA Diamond90.5%32%
LMArena Expert14441144
SimpleQA Verified41.4%—

Multimodal Not comparable

GPT-6 Luna: 42.4 (#30), Yi-1.5-34B: —

Multimodal benchmarks
BenchmarkGPT-6 LunaYi-1.5-34B
LMArena Vision1217—
Blueprint-Bench 231.2%—
Furniture Assembly44.2%—

Multilingual GPT-6 Luna leads

GPT-6 Luna: 50.5 (#117), Yi-1.5-34B: 32.3 (#256)

Multilingual benchmarks
BenchmarkGPT-6 LunaYi-1.5-34B
LMArena Non-English13861121
LMArena Chinese14331213
LMArena French14201156
LMArena German13691111
LMArena Japanese13691021
LMArena Korean13601005
LMArena Russian13941091
LMArena Spanish13931121

Instruction Following GPT-6 Luna leads

GPT-6 Luna: 74.3 (#99), Yi-1.5-34B: 59.2 (#257)

Instruction Following benchmarks
BenchmarkGPT-6 LunaYi-1.5-34B
LMArena Instruction Following14091139

Long Context GPT-6 Luna leads

GPT-6 Luna: 43.0 (#111), Yi-1.5-34B: 34.6 (#248)

Long Context benchmarks
BenchmarkGPT-6 LunaYi-1.5-34B
LMArena Longer Query14091143

Writing & Preference GPT-6 Luna leads

GPT-6 Luna: 58.3 (#119), Yi-1.5-34B: 37.4 (#257)

Writing & Preference benchmarks
BenchmarkGPT-6 LunaYi-1.5-34B
LMArena Text13911173
LMArena Creative Writing13631135
LMArena Multi-Turn13961153

Frequently asked questions

Is GPT-6 Luna better than Yi-1.5-34B?

GPT-6 Luna is the stronger model overall, scoring 53.3 to 30.6 on the Noometry Index.

Is GPT-6 Luna or Yi-1.5-34B better for coding?

GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 32.4 in the Noometry coding category.

How many benchmarks do GPT-6 Luna and Yi-1.5-34B share?

18 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Yi-1.5-34B has 21.

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