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.
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 | Yi-1.5-34B | |
|---|---|---|
| Provider | OpenAI | 01.AI |
| Noometry Index | 53.3 | 30.6 |
| Released | 2026-09-22 | 2024-05-13 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.50 | — |
| Results tracked | 42 | 21 |
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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)
| Benchmark | GPT-6 Luna | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1439 | 1169 |
| DeepSWE | 66.6% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1581 | — |
| SciCode | 54.6% | — |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
| ALE-Bench | 1,577 | — |
Agentic & Tool Use Not comparable
GPT-6 Luna: 33.3 (#54), Yi-1.5-34B: —
| Benchmark | GPT-6 Luna | Yi-1.5-34B |
|---|---|---|
| APEX-Agents | 44.3% | — |
| GDP.pdf | 23% | — |
Reasoning GPT-6 Luna leads
GPT-6 Luna: 48.2 (#41), Yi-1.5-34B: 22.5 (#191)
| Benchmark | GPT-6 Luna | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1411 | 1160 |
| ARC-AGI-2 | 59.3% | — |
| NYT Connections (extended) | 68.7% | — |
| ARC-AGI-1 | 86.7% | — |
| CritPt | 19.4% | — |
| Chess Puzzles | 31% | — |
| Mystery Game Puzzles | 7% | — |
| DTBench | 90.1% | — |
| LMCA | 44.5% | — |
| Epoch Capabilities Index | 156.28 | — |
Math GPT-6 Luna leads
GPT-6 Luna: 76.1 (#15), Yi-1.5-34B: 27.5 (#249)
| Benchmark | GPT-6 Luna | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1416 | 1182 |
| FrontierMath (Tiers 1-3) | 78.9% | — |
| FrontierMath Tier 4 | 56.1% | — |
| OTIS Mock AIME 2024-2025 | 98.9% | — |
| ProofBench | 64% | — |
| MATH Level 5 | — | 25.5% |
Knowledge GPT-6 Luna leads
GPT-6 Luna: 57.0 (#41), Yi-1.5-34B: 14.8 (#295)
| Benchmark | GPT-6 Luna | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 90.5% | 32% |
| LMArena Expert | 1444 | 1144 |
| SimpleQA Verified | 41.4% | — |
Multimodal Not comparable
GPT-6 Luna: 42.4 (#30), Yi-1.5-34B: —
| Benchmark | GPT-6 Luna | Yi-1.5-34B |
|---|---|---|
| LMArena Vision | 1217 | — |
| Blueprint-Bench 2 | 31.2% | — |
| Furniture Assembly | 44.2% | — |
Multilingual GPT-6 Luna leads
GPT-6 Luna: 50.5 (#117), Yi-1.5-34B: 32.3 (#256)
| Benchmark | GPT-6 Luna | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1386 | 1121 |
| LMArena Chinese | 1433 | 1213 |
| LMArena French | 1420 | 1156 |
| LMArena German | 1369 | 1111 |
| LMArena Japanese | 1369 | 1021 |
| LMArena Korean | 1360 | 1005 |
| LMArena Russian | 1394 | 1091 |
| LMArena Spanish | 1393 | 1121 |
Instruction Following GPT-6 Luna leads
GPT-6 Luna: 74.3 (#99), Yi-1.5-34B: 59.2 (#257)
| Benchmark | GPT-6 Luna | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1409 | 1139 |
Long Context GPT-6 Luna leads
GPT-6 Luna: 43.0 (#111), Yi-1.5-34B: 34.6 (#248)
| Benchmark | GPT-6 Luna | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1409 | 1143 |
Writing & Preference GPT-6 Luna leads
GPT-6 Luna: 58.3 (#119), Yi-1.5-34B: 37.4 (#257)
| Benchmark | GPT-6 Luna | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1391 | 1173 |
| LMArena Creative Writing | 1363 | 1135 |
| LMArena Multi-Turn | 1396 | 1153 |
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.