Model comparison
GPT-6 Sol vs Yi-1.5-34B
GPT-6 Sol is the stronger model overall, scoring 61.8 to 30.6 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. GPT-6 Sol 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 Sol leads 87.2 to 27.5.
- The biggest single-benchmark swing is GPQA Diamond: 94.3% for GPT-6 Sol 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 Sol | Yi-1.5-34B | |
|---|---|---|
| Provider | OpenAI | 01.AI |
| Noometry Index | 61.8 | 30.6 |
| Released | 2026-09-22 | 2024-05-13 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 45 | 21 |
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Category by category
Coding GPT-6 Sol leads
GPT-6 Sol: 60.1 (#11), Yi-1.5-34B: 32.4 (#272)
| Benchmark | GPT-6 Sol | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1447 | 1169 |
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| LMArena WebDev | 1688 | — |
| SciCode | 57.6% | — |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
| ALE-Bench | 2,462 | — |
Agentic & Tool Use Not comparable
GPT-6 Sol: 37.2 (#36), Yi-1.5-34B: —
| Benchmark | GPT-6 Sol | Yi-1.5-34B |
|---|---|---|
| APEX-Agents | 54.3% | — |
| GDP.pdf | 26.4% | — |
| Vending-Bench 2 | 14,428 | — |
Reasoning GPT-6 Sol leads
GPT-6 Sol: 74.0 (#9), Yi-1.5-34B: 22.5 (#191)
| Benchmark | GPT-6 Sol | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1418 | 1160 |
| ARC-AGI-2 | 89.6% | — |
| NYT Connections (extended) | 90.1% | — |
| ARC-AGI-1 | 95.5% | — |
| CritPt | 30.9% | — |
| EBR-Bench | 53.3% | — |
| Mystery Game Puzzles | 56% | — |
| DTBench | 97.3% | — |
| LMCA | 59.1% | — |
| Epoch Capabilities Index | 162.72 | — |
Math GPT-6 Sol leads
GPT-6 Sol: 87.2 (#7), Yi-1.5-34B: 27.5 (#249)
| Benchmark | GPT-6 Sol | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1402 | 1182 |
| FrontierMath (Tiers 1-3) | 89.8% | — |
| FrontierMath Tier 4 | 90% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 83% | — |
| MATH Level 5 | — | 25.5% |
Knowledge GPT-6 Sol leads
GPT-6 Sol: 64.8 (#15), Yi-1.5-34B: 14.8 (#295)
| Benchmark | GPT-6 Sol | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 94.3% | 32% |
| LMArena Expert | 1439 | 1144 |
| SimpleQA Verified | 60.7% | — |
| Vectara Hallucination Rate | 6.5% | — |
Multimodal Not comparable
GPT-6 Sol: 47.6 (#10), Yi-1.5-34B: —
| Benchmark | GPT-6 Sol | Yi-1.5-34B |
|---|---|---|
| LMArena Vision | 1245 | — |
| Blueprint-Bench 2 | 36.9% | — |
| Furniture Assembly | 58.3% | — |
Multilingual GPT-6 Sol leads
GPT-6 Sol: 50.5 (#118), Yi-1.5-34B: 32.3 (#256)
| Benchmark | GPT-6 Sol | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1385 | 1121 |
| LMArena Chinese | 1405 | 1213 |
| LMArena French | 1410 | 1156 |
| LMArena German | 1390 | 1111 |
| LMArena Japanese | 1385 | 1021 |
| LMArena Korean | 1341 | 1005 |
| LMArena Russian | 1401 | 1091 |
| LMArena Spanish | 1384 | 1121 |
Instruction Following GPT-6 Sol leads
GPT-6 Sol: 74.5 (#94), Yi-1.5-34B: 59.2 (#257)
| Benchmark | GPT-6 Sol | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1412 | 1139 |
Long Context GPT-6 Sol leads
GPT-6 Sol: 43.1 (#108), Yi-1.5-34B: 34.6 (#248)
| Benchmark | GPT-6 Sol | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1411 | 1143 |
Writing & Preference GPT-6 Sol leads
GPT-6 Sol: 71.9 (#18), Yi-1.5-34B: 37.4 (#257)
| Benchmark | GPT-6 Sol | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1395 | 1173 |
| LMArena Creative Writing | 1378 | 1135 |
| LMArena Multi-Turn | 1412 | 1153 |
| EQ-Bench Creative Writing | 2125 | — |
Frequently asked questions
Is GPT-6 Sol better than Yi-1.5-34B?
GPT-6 Sol is the stronger model overall, scoring 61.8 to 30.6 on the Noometry Index.
Is GPT-6 Sol or Yi-1.5-34B better for coding?
GPT-6 Sol scores higher on coding benchmarks: 60.1 versus 32.4 in the Noometry coding category.
How many benchmarks do GPT-6 Sol and Yi-1.5-34B share?
18 benchmarks have published results for both models. GPT-6 Sol has 45 scored results on Noometry and Yi-1.5-34B has 21.