Model comparison
GPT-5.4 nano vs Yi-34B
GPT-5.4 nano is the stronger model overall, scoring 41.9 to 27.8 on the Noometry Index.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. GPT-5.4 nano scores higher in 8 categories and Yi-34B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.4 nano leads 41.9 to 7.5.
- The biggest single-benchmark swing is GPQA Diamond: 78.5% for GPT-5.4 nano and 14.7% for Yi-34B.
- Yi-34B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.4 nano | Yi-34B | |
|---|---|---|
| Provider | OpenAI | 01.AI |
| Noometry Index | 41.9 | 27.8 |
| Released | 2026-03-17 | 2023-11-02 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.25 | — |
| Results tracked | 40 | 23 |
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Category by category
Coding GPT-5.4 nano leads
GPT-5.4 nano: 43.6 (#84), Yi-34B: 32.3 (#274)
| Benchmark | GPT-5.4 nano | Yi-34B |
|---|---|---|
| LMArena Coding | 1405 | 1112 |
| SciCode | 46.9% | — |
| WeirdML | 49.2% | — |
| ALE-Bench | 1,005 | — |
Reasoning GPT-5.4 nano leads
GPT-5.4 nano: 23.7 (#173), Yi-34B: 21.2 (#226)
| Benchmark | GPT-5.4 nano | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1381 | 1104 |
| Epoch Capabilities Index | 145.81 | 117.39 |
| ARC-AGI-2 | 5.7% | — |
| Kagi LLM Benchmark | 39.7% | — |
| ARC-AGI-1 | 51.5% | — |
| CritPt | 9.3% | — |
| Chess Puzzles | 30% | — |
| Mystery Game Puzzles | 9% | — |
| DTBench | 80.3% | — |
| LMCA | 36.9% | — |
| BIG-Bench Hard | — | 71.7% |
| ForecastBench | 57.3 | — |
Math GPT-5.4 nano leads
GPT-5.4 nano: 40.9 (#88), Yi-34B: 21.6 (#282)
| Benchmark | GPT-5.4 nano | Yi-34B |
|---|---|---|
| LMArena Math | 1406 | 1114 |
| FrontierMath (Tiers 1-3) | 44.9% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 87.8% | — |
| ProofBench | 5% | — |
| MATH Level 5 | — | 5.1% |
| FrontierMath (Feb 2025 set) | 25.9% | — |
| FrontierMath Tier 4 (v1) | 6.3% | — |
| GSM8K | — | 76% |
Knowledge GPT-5.4 nano leads
GPT-5.4 nano: 41.9 (#103), Yi-34B: 7.5 (#309)
| Benchmark | GPT-5.4 nano | Yi-34B |
|---|---|---|
| GPQA Diamond | 78.5% | 14.7% |
| LMArena Expert | 1396 | 1061 |
| SimpleQA Verified | 11.7% | — |
| Vectara Hallucination Rate | 3.1% | — |
| MMLU | — | 76.3% |
Multimodal Not comparable
GPT-5.4 nano: 36.7 (#78), Yi-34B: —
| Benchmark | GPT-5.4 nano | Yi-34B |
|---|---|---|
| LMArena Vision | 1196 | — |
Multilingual GPT-5.4 nano leads
GPT-5.4 nano: 48.6 (#140), Yi-34B: 29.7 (#264)
| Benchmark | GPT-5.4 nano | Yi-34B |
|---|---|---|
| LMArena Non-English | 1359 | 1079 |
| LMArena Chinese | 1392 | 1176 |
| LMArena French | 1396 | 1081 |
| LMArena German | 1367 | 1042 |
| LMArena Japanese | 1343 | 993 |
| LMArena Korean | 1320 | 959 |
| LMArena Russian | 1363 | 1050 |
| LMArena Spanish | 1371 | 1070 |
Instruction Following GPT-5.4 nano leads
GPT-5.4 nano: 71.9 (#144), Yi-34B: 56.2 (#274)
| Benchmark | GPT-5.4 nano | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1362 | 1091 |
Long Context GPT-5.4 nano leads
GPT-5.4 nano: 41.6 (#137), Yi-34B: 33.2 (#264)
| Benchmark | GPT-5.4 nano | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1366 | 1094 |
Writing & Preference GPT-5.4 nano leads
GPT-5.4 nano: 55.7 (#142), Yi-34B: 34.1 (#273)
| Benchmark | GPT-5.4 nano | Yi-34B |
|---|---|---|
| LMArena Text | 1372 | 1129 |
| LMArena Creative Writing | 1314 | 1108 |
| LMArena Multi-Turn | 1382 | 1113 |
Frequently asked questions
Is GPT-5.4 nano better than Yi-34B?
GPT-5.4 nano is the stronger model overall, scoring 41.9 to 27.8 on the Noometry Index.
Is GPT-5.4 nano or Yi-34B better for coding?
GPT-5.4 nano scores higher on coding benchmarks: 43.6 versus 32.3 in the Noometry coding category.
How many benchmarks do GPT-5.4 nano and Yi-34B share?
19 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and Yi-34B has 23.