Model comparison
GPT-5.4 mini vs Hunyuan Standard 2025 02 10
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 37.9 on the Noometry Index.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. GPT-5.4 mini scores higher in 8 categories and Hunyuan Standard 2025 02 10 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.4 mini leads 51.5 to 34.2.
Side by side
| GPT-5.4 mini | Hunyuan Standard 2025 02 10 | |
|---|---|---|
| Provider | OpenAI | Tencent |
| Noometry Index | 45.0 | 37.9 |
| Released | 2026-03-17 | — |
| Weights | Proprietary | Proprietary |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.75 | — |
| Output $ / M tokens | $4.50 | — |
| Results tracked | 46 | 12 |
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Category by category
Coding GPT-5.4 mini leads
GPT-5.4 mini: 45.2 (#72), Hunyuan Standard 2025 02 10: 37.1 (#197)
| Benchmark | GPT-5.4 mini | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Coding | 1438 | 1270 |
| FrontierCode | 27% | — |
| LMArena WebDev | 1397 | — |
| SciCode | 49.9% | — |
| WeirdML | 60.3% | — |
| ALE-Bench | 1,189 | — |
Agentic & Tool Use Not comparable
GPT-5.4 mini: 29.9 (#81), Hunyuan Standard 2025 02 10: —
| Benchmark | GPT-5.4 mini | Hunyuan Standard 2025 02 10 |
|---|---|---|
| DeepResearch Bench | 36.3% | — |
Reasoning GPT-5.4 mini leads
GPT-5.4 mini: 30.4 (#85), Hunyuan Standard 2025 02 10: 25.0 (#154)
| Benchmark | GPT-5.4 mini | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Hard Prompts | 1424 | 1264 |
| ARC-AGI-2 | 18.9% | — |
| Kagi LLM Benchmark | 37.9% | — |
| NYT Connections (extended) | 61.8% | — |
| ARC-AGI-1 | 63.7% | — |
| CritPt | 10% | — |
| Chess Puzzles | 24% | — |
| Thematic Generalization | 61.7% | — |
| Mystery Game Puzzles | 11% | — |
| DTBench | 80% | — |
| LMCA | 40.8% | — |
| Epoch Capabilities Index | 148.84 | — |
| ForecastBench | 57 | — |
Math GPT-5.4 mini leads
GPT-5.4 mini: 45.5 (#75), Hunyuan Standard 2025 02 10: 35.6 (#179)
| Benchmark | GPT-5.4 mini | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Math | 1419 | 1274 |
| FrontierMath (Tiers 1-3) | 51.2% | — |
| FrontierMath Tier 4 | 9.8% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 21% | — |
| FrontierMath (Feb 2025 set) | 28.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GPT-5.4 mini leads
GPT-5.4 mini: 51.5 (#67), Hunyuan Standard 2025 02 10: 34.2 (#197)
| Benchmark | GPT-5.4 mini | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Expert | 1435 | 1248 |
| GPQA Diamond | 86.9% | — |
| SimpleQA Verified | 29.4% | — |
| Vectara Hallucination Rate | 5.5% | — |
Multimodal Not comparable
GPT-5.4 mini: 39.7 (#56), Hunyuan Standard 2025 02 10: —
| Benchmark | GPT-5.4 mini | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Vision | 1245 | — |
Multilingual GPT-5.4 mini leads
GPT-5.4 mini: 51.9 (#96), Hunyuan Standard 2025 02 10: 41.7 (#203)
| Benchmark | GPT-5.4 mini | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Non-English | 1405 | 1262 |
| LMArena Chinese | 1446 | 1319 |
| LMArena Russian | 1417 | 1258 |
| LMArena French | 1440 | — |
| LMArena German | 1409 | — |
| LMArena Japanese | 1374 | — |
| LMArena Korean | 1368 | — |
| LMArena Spanish | 1405 | — |
Instruction Following GPT-5.4 mini leads
GPT-5.4 mini: 74.1 (#102), Hunyuan Standard 2025 02 10: 65.5 (#219)
| Benchmark | GPT-5.4 mini | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1245 |
Long Context GPT-5.4 mini leads
GPT-5.4 mini: 43.0 (#112), Hunyuan Standard 2025 02 10: 39.5 (#173)
| Benchmark | GPT-5.4 mini | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Longer Query | 1407 | 1301 |
Writing & Preference GPT-5.4 mini leads
GPT-5.4 mini: 64.0 (#58), Hunyuan Standard 2025 02 10: 47.2 (#214)
| Benchmark | GPT-5.4 mini | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Text | 1412 | 1274 |
| LMArena Creative Writing | 1370 | 1242 |
| LMArena Multi-Turn | 1429 | 1275 |
| EQ-Bench Creative Writing | 1665 | — |
Frequently asked questions
Is GPT-5.4 mini better than Hunyuan Standard 2025 02 10?
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 37.9 on the Noometry Index.
Is GPT-5.4 mini or Hunyuan Standard 2025 02 10 better for coding?
GPT-5.4 mini scores higher on coding benchmarks: 45.2 versus 37.1 in the Noometry coding category.
How many benchmarks do GPT-5.4 mini and Hunyuan Standard 2025 02 10 share?
12 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and Hunyuan Standard 2025 02 10 has 12.