Model comparison
GPT-5 Nano vs Hunyuan Large 2025 02 10
Hunyuan Large 2025 02 10 is the stronger model overall, scoring 38.6 to 33.5 on the Noometry Index.
Last verified . 12 shared benchmarks.
TencentSummary
- They share 12 benchmarks with published results for both. GPT-5 Nano scores higher in 3 categories and Hunyuan Large 2025 02 10 in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where Hunyuan Large 2025 02 10 leads 40.8 to 31.3.
Side by side
| GPT-5 Nano | Hunyuan Large 2025 02 10 | |
|---|---|---|
| Provider | OpenAI | Tencent |
| Noometry Index | 33.5 | 38.6 |
| Released | 2025-08-07 | — |
| Weights | Proprietary | Proprietary |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.05 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 49 | 12 |
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Category by category
Coding Hunyuan Large 2025 02 10 leads
GPT-5 Nano: 33.6 (#254), Hunyuan Large 2025 02 10: 38.2 (#181)
| Benchmark | GPT-5 Nano | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Coding | 1351 | 1307 |
| SWE-bench Verified (bash only) | 34.8% | — |
| WeirdML | 38.1% | — |
| ALE-Bench | 718.67 | — |
Agentic & Tool Use Not comparable
GPT-5 Nano: 25.8 (#106), Hunyuan Large 2025 02 10: —
| Benchmark | GPT-5 Nano | Hunyuan Large 2025 02 10 |
|---|---|---|
| Terminal-Bench | 21.8% | — |
| Berkeley Function Calling Leaderboard | 51.5% | — |
Reasoning Hunyuan Large 2025 02 10 leads
GPT-5 Nano: 16.3 (#306), Hunyuan Large 2025 02 10: 25.5 (#148)
| Benchmark | GPT-5 Nano | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Hard Prompts | 1328 | 1286 |
| 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% | — |
| Epoch Capabilities Index | 139.38 | — |
| ForecastBench | 59.1 | — |
Math Hunyuan Large 2025 02 10 leads
GPT-5 Nano: 29.4 (#241), Hunyuan Large 2025 02 10: 35.8 (#178)
| Benchmark | GPT-5 Nano | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Math | 1317 | 1281 |
| FrontierMath (Tiers 1-3) | 20% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 81.1% | — |
| ProofBench | 12% | — |
| Omni-MATH | 54.6% | — |
| MATH Level 5 | 95.2% | — |
| FrontierMath (Feb 2025 set) | 8.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Too close to call
GPT-5 Nano: 35.9 (#178), Hunyuan Large 2025 02 10: 35.1 (#188)
| Benchmark | GPT-5 Nano | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Expert | 1321 | 1276 |
| GPQA Diamond | 69.4% | — |
| SimpleQA Verified | 11.7% | — |
| MMLU-Pro | 77.8% | — |
| Vectara Hallucination Rate | 10.5% | — |
| GPQA (HELM) | 67.9% | — |
Multimodal Not comparable
GPT-5 Nano: 31.3 (#108), Hunyuan Large 2025 02 10: —
| Benchmark | GPT-5 Nano | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Vision | 1159 | — |
| VPCT | 37.2% | — |
Multilingual GPT-5 Nano leads
GPT-5 Nano: 45.3 (#172), Hunyuan Large 2025 02 10: 42.0 (#200)
| Benchmark | GPT-5 Nano | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Non-English | 1313 | 1265 |
| LMArena Chinese | 1356 | 1346 |
| LMArena Russian | 1296 | 1266 |
| LMArena German | 1327 | — |
| LMArena Japanese | 1226 | — |
| LMArena Korean | 1269 | — |
| LMArena Spanish | 1360 | — |
Instruction Following GPT-5 Nano leads
GPT-5 Nano: 75.0 (#79), Hunyuan Large 2025 02 10: 67.3 (#197)
| Benchmark | GPT-5 Nano | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Instruction Following | 1306 | 1277 |
| IFEval | 93.2% | — |
Long Context Hunyuan Large 2025 02 10 leads
GPT-5 Nano: 31.3 (#281), Hunyuan Large 2025 02 10: 40.8 (#149)
| Benchmark | GPT-5 Nano | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Longer Query | 1312 | 1341 |
| Fiction.LiveBench | 44.4% | — |
Writing & Preference Hunyuan Large 2025 02 10 leads
GPT-5 Nano: 39.1 (#249), Hunyuan Large 2025 02 10: 48.7 (#197)
| Benchmark | GPT-5 Nano | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Text | 1320 | 1288 |
| LMArena Creative Writing | 1249 | 1264 |
| LMArena Multi-Turn | 1311 | 1284 |
| EQ-Bench Creative Writing | 705 | — |
| WildBench | 80.6% | — |
Frequently asked questions
Is GPT-5 Nano better than Hunyuan Large 2025 02 10?
Hunyuan Large 2025 02 10 is the stronger model overall, scoring 38.6 to 33.5 on the Noometry Index.
Is GPT-5 Nano or Hunyuan Large 2025 02 10 better for coding?
Hunyuan Large 2025 02 10 scores higher on coding benchmarks: 38.2 versus 33.6 in the Noometry coding category.
How many benchmarks do GPT-5 Nano and Hunyuan Large 2025 02 10 share?
12 benchmarks have published results for both models. GPT-5 Nano has 49 scored results on Noometry and Hunyuan Large 2025 02 10 has 12.