Model comparison
GPT-5 Nano vs Hy3
Hy3 is the stronger model overall, scoring 44.2 to 33.5 on the Noometry Index.
Last verified . 16 shared benchmarks.
Summary
- They share 16 benchmarks with published results for both. GPT-5 Nano scores higher in 0 categories and Hy3 in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Hy3 leads 62.2 to 39.1.
- Both cost about the same: $0.05 input and $0.40 output per million tokens.
- GPT-5 Nano accepts more context: 400K tokens versus 262K.
- Hy3 has downloadable open weights; the other is API-only.
Side by side
| GPT-5 Nano | Hy3 | |
|---|---|---|
| Provider | OpenAI | Tencent |
| Noometry Index | 33.5 | 44.2 |
| Released | 2025-08-07 | 2026-07-06 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 128K | 128K |
| Input $ / M tokens | $0.05 | $0.0825 |
| Output $ / M tokens | $0.40 | $0.33 |
| Results tracked | 49 | 19 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Hy3 leads
GPT-5 Nano: 33.6 (#254), Hy3: 46.8 (#63)
| Benchmark | GPT-5 Nano | Hy3 |
|---|---|---|
| LMArena Coding | 1351 | 1464 |
| SWE-bench Verified (bash only) | 34.8% | — |
| LMArena WebDev | — | 1508 |
| WeirdML | 38.1% | — |
| ALE-Bench | 718.67 | — |
Agentic & Tool Use Not comparable
GPT-5 Nano: 25.8 (#106), Hy3: —
| Benchmark | GPT-5 Nano | Hy3 |
|---|---|---|
| Terminal-Bench | 21.8% | — |
| Berkeley Function Calling Leaderboard | 51.5% | — |
Reasoning Hy3 leads
GPT-5 Nano: 16.3 (#306), Hy3: 26.1 (#136)
| Benchmark | GPT-5 Nano | Hy3 |
|---|---|---|
| LMArena Hard Prompts | 1328 | 1447 |
| ARC-AGI-2 | 2.6% | — |
| Kagi LLM Benchmark | 62.2% | — |
| NYT Connections (extended) | — | 41.2% |
| 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 Hy3 leads
GPT-5 Nano: 29.4 (#241), Hy3: 40.1 (#93)
| Benchmark | GPT-5 Nano | Hy3 |
|---|---|---|
| LMArena Math | 1317 | 1475 |
| 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 Hy3 leads
GPT-5 Nano: 35.9 (#178), Hy3: 40.8 (#114)
| Benchmark | GPT-5 Nano | Hy3 |
|---|---|---|
| LMArena Expert | 1321 | 1460 |
| 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), Hy3: —
| Benchmark | GPT-5 Nano | Hy3 |
|---|---|---|
| LMArena Vision | 1159 | — |
| VPCT | 37.2% | — |
Multilingual Hy3 leads
GPT-5 Nano: 45.3 (#172), Hy3: 53.5 (#65)
| Benchmark | GPT-5 Nano | Hy3 |
|---|---|---|
| LMArena Non-English | 1313 | 1426 |
| LMArena Chinese | 1356 | 1493 |
| LMArena German | 1327 | 1439 |
| LMArena Japanese | 1226 | 1392 |
| LMArena Korean | 1269 | 1395 |
| LMArena Russian | 1296 | 1432 |
| LMArena Spanish | 1360 | 1456 |
| LMArena French | — | 1461 |
Instruction Following Too close to call
GPT-5 Nano: 75.0 (#79), Hy3: 75.1 (#70)
| Benchmark | GPT-5 Nano | Hy3 |
|---|---|---|
| LMArena Instruction Following | 1306 | 1426 |
| IFEval | 93.2% | — |
Long Context Hy3 leads
GPT-5 Nano: 31.3 (#281), Hy3: 44.1 (#75)
| Benchmark | GPT-5 Nano | Hy3 |
|---|---|---|
| LMArena Longer Query | 1312 | 1442 |
| Fiction.LiveBench | 44.4% | — |
Writing & Preference Hy3 leads
GPT-5 Nano: 39.1 (#249), Hy3: 62.2 (#81)
| Benchmark | GPT-5 Nano | Hy3 |
|---|---|---|
| LMArena Text | 1320 | 1439 |
| LMArena Creative Writing | 1249 | 1402 |
| LMArena Multi-Turn | 1311 | 1436 |
| EQ-Bench Creative Writing | 705 | — |
| WildBench | 80.6% | — |
Frequently asked questions
Is GPT-5 Nano better than Hy3?
Hy3 is the stronger model overall, scoring 44.2 to 33.5 on the Noometry Index.
Which is cheaper, GPT-5 Nano or Hy3?
GPT-5 Nano is cheaper. It lists at $0.05 per million input tokens and $0.40 per million output tokens; Hy3 lists at $0.0825 and $0.33.
Is GPT-5 Nano or Hy3 better for coding?
Hy3 scores higher on coding benchmarks: 46.8 versus 33.6 in the Noometry coding category.
Which has the bigger context window?
GPT-5 Nano does, with 400K tokens against 262K.
How many benchmarks do GPT-5 Nano and Hy3 share?
16 benchmarks have published results for both models. GPT-5 Nano has 49 scored results on Noometry and Hy3 has 19.