Model comparison
GPT-5 Nano vs Yi-34B
GPT-5 Nano is the stronger model overall, scoring 33.4 to 27.4 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. GPT-5 Nano scores higher in 6 categories and Yi-34B in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5 Nano leads 35.8 to 7.5.
- The biggest single-benchmark swing is MATH Level 5: 95.2% for GPT-5 Nano and 5.1% for Yi-34B.
- Yi-34B has downloadable open weights; the other is API-only.
Side by side
| GPT-5 Nano | Yi-34B | |
|---|---|---|
| Provider | OpenAI | 01.AI |
| Noometry Index | 33.4 | 27.4 |
| Released | 2025-08-07 | 2023-11-02 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.05 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 48 | 23 |
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Category by category
Coding GPT-5 Nano leads
GPT-5 Nano: 33.3 (#248), Yi-34B: 31.8 (#269)
| Benchmark | GPT-5 Nano | Yi-34B |
|---|---|---|
| LMArena Coding | 1351 | 1112 |
| SWE-bench Verified (bash only) | 34.8% | — |
| WeirdML | 38.1% | — |
| ALE-Bench | 718.67 | — |
Agentic & Tool Use Not comparable
GPT-5 Nano: 25.6 (#99), Yi-34B: —
| Benchmark | GPT-5 Nano | Yi-34B |
|---|---|---|
| Terminal-Bench | 21.8% | — |
| Berkeley Function Calling Leaderboard | 51.5% | — |
Reasoning Yi-34B leads
GPT-5 Nano: 16.4 (#291), Yi-34B: 20.3 (#222)
| Benchmark | GPT-5 Nano | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1329 | 1104 |
| Epoch Capabilities Index | 139.39 | 117.28 |
| ARC-AGI-2 | 2.6% | — |
| Kagi LLM Benchmark | 62.2% | — |
| ARC-AGI-1 | 20.7% | — |
| Chess Puzzles | 27% | — |
| Mystery Game Puzzles | 9% | — |
| DTBench | 62.7% | — |
| LMCA | 7.9% | — |
| BIG-Bench Hard | — | 71.7% |
| ForecastBench | 59.1 | — |
Math GPT-5 Nano leads
GPT-5 Nano: 29.1 (#221), Yi-34B: 19.8 (#277)
| Benchmark | GPT-5 Nano | Yi-34B |
|---|---|---|
| LMArena Math | 1318 | 1114 |
| MATH Level 5 | 95.2% | 5.1% |
| FrontierMath (Tiers 1-3) | 20% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 81.1% | — |
| ProofBench | 12% | — |
| Omni-MATH | 54.6% | — |
| FrontierMath (Feb 2025 set) | 8.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
| GSM8K | — | 76% |
Knowledge GPT-5 Nano leads
GPT-5 Nano: 35.8 (#166), Yi-34B: 7.5 (#304)
| Benchmark | GPT-5 Nano | Yi-34B |
|---|---|---|
| GPQA Diamond | 69.4% | 14.7% |
| LMArena Expert | 1321 | 1061 |
| SimpleQA Verified | 11.7% | — |
| MMLU-Pro | 77.8% | — |
| Vectara Hallucination Rate | 10.5% | — |
| GPQA (HELM) | 67.9% | — |
| MMLU | — | 76.3% |
Multimodal Not comparable
GPT-5 Nano: 30.7 (#102), Yi-34B: —
| Benchmark | GPT-5 Nano | Yi-34B |
|---|---|---|
| LMArena Vision | 1159 | — |
| VPCT | 37.2% | — |
Multilingual GPT-5 Nano leads
GPT-5 Nano: 45.5 (#167), Yi-34B: 29.9 (#259)
| Benchmark | GPT-5 Nano | Yi-34B |
|---|---|---|
| LMArena Non-English | 1313 | 1079 |
| LMArena Chinese | 1355 | 1175 |
| LMArena German | 1329 | 1042 |
| LMArena Korean | 1269 | 959 |
| LMArena Russian | 1296 | 1050 |
| LMArena Spanish | 1360 | 1070 |
| LMArena French | — | 1080 |
| LMArena Japanese | — | 993 |
Instruction Following GPT-5 Nano leads
GPT-5 Nano: 75.2 (#72), Yi-34B: 56.4 (#269)
| Benchmark | GPT-5 Nano | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1306 | 1091 |
| IFEval | 93.2% | — |
Long Context Yi-34B leads
GPT-5 Nano: 31.3 (#275), Yi-34B: 33.2 (#259)
| Benchmark | GPT-5 Nano | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1313 | 1094 |
| Fiction.LiveBench | 44.4% | — |
Writing & Preference GPT-5 Nano leads
GPT-5 Nano: 39.4 (#244), Yi-34B: 34.3 (#268)
| Benchmark | GPT-5 Nano | Yi-34B |
|---|---|---|
| LMArena Text | 1320 | 1129 |
| LMArena Creative Writing | 1250 | 1108 |
| LMArena Multi-Turn | 1311 | 1113 |
| EQ-Bench Creative Writing | 705 | — |
| WildBench | 80.6% | — |
Frequently asked questions
Is GPT-5 Nano better than Yi-34B?
GPT-5 Nano is the stronger model overall, scoring 33.4 to 27.4 on the Noometry Index.
Is GPT-5 Nano or Yi-34B better for coding?
GPT-5 Nano scores higher on coding benchmarks: 33.3 versus 31.8 in the Noometry coding category.
How many benchmarks do GPT-5 Nano and Yi-34B share?
18 benchmarks have published results for both models. GPT-5 Nano has 48 scored results on Noometry and Yi-34B has 23.