Model comparison
Hy3 vs Mistral Medium 3.1
Hy3 is the stronger model overall, scoring 44.2 to 31.9 on the Noometry Index.
Last verified . 1 shared benchmarks.
Tencent
Mistral AISummary
- They share 1 benchmark with published results for both. Hy3 scores higher in 2 categories and Mistral Medium 3.1 in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Hy3 leads 26.1 to 10.6.
- The biggest single-benchmark swing is NYT Connections (extended): 41.2% for Hy3 and 6.5% for Mistral Medium 3.1.
- Hy3 is cheaper at $0.0825 / $0.33 per million input/output tokens, against $0.40 / $2 for Mistral Medium 3.1.
- Hy3 accepts more context: 262K tokens versus 131K.
- Hy3 has downloadable open weights; the other is API-only.
Side by side
| Hy3 | Mistral Medium 3.1 | |
|---|---|---|
| Provider | Tencent | Mistral AI |
| Noometry Index | 44.2 | 31.9 |
| Released | 2026-07-06 | — |
| Weights | Open | Proprietary |
| Context window | 262K | 131K |
| Max output | 128K | 105K |
| Input $ / M tokens | $0.0825 | $0.40 |
| Output $ / M tokens | $0.33 | $2 |
| Results tracked | 19 | 3 |
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Category by category
Coding Not comparable
Hy3: 46.8 (#63), Mistral Medium 3.1: —
| Benchmark | Hy3 | Mistral Medium 3.1 |
|---|---|---|
| LMArena WebDev | 1508 | — |
| LMArena Coding | 1464 | — |
Reasoning Hy3 leads
Hy3: 26.1 (#136), Mistral Medium 3.1: 10.6 (#341)
| Benchmark | Hy3 | Mistral Medium 3.1 |
|---|---|---|
| NYT Connections (extended) | 41.2% | 6.5% |
| Thematic Generalization | — | 20.3% |
| LMArena Hard Prompts | 1447 | — |
Math Not comparable
Hy3: 40.1 (#93), Mistral Medium 3.1: —
| Benchmark | Hy3 | Mistral Medium 3.1 |
|---|---|---|
| LMArena Math | 1475 | — |
Knowledge Not comparable
Hy3: 40.8 (#114), Mistral Medium 3.1: —
| Benchmark | Hy3 | Mistral Medium 3.1 |
|---|---|---|
| LMArena Expert | 1460 | — |
Multilingual Not comparable
Hy3: 53.5 (#65), Mistral Medium 3.1: —
| Benchmark | Hy3 | Mistral Medium 3.1 |
|---|---|---|
| LMArena Non-English | 1426 | — |
| LMArena Chinese | 1493 | — |
| LMArena French | 1461 | — |
| LMArena German | 1439 | — |
| LMArena Japanese | 1392 | — |
| LMArena Korean | 1395 | — |
| LMArena Russian | 1432 | — |
| LMArena Spanish | 1456 | — |
Instruction Following Not comparable
Hy3: 75.1 (#70), Mistral Medium 3.1: —
| Benchmark | Hy3 | Mistral Medium 3.1 |
|---|---|---|
| LMArena Instruction Following | 1426 | — |
Long Context Not comparable
Hy3: 44.1 (#75), Mistral Medium 3.1: —
| Benchmark | Hy3 | Mistral Medium 3.1 |
|---|---|---|
| LMArena Longer Query | 1442 | — |
Writing & Preference Hy3 leads
Hy3: 62.2 (#81), Mistral Medium 3.1: 55.5 (#145)
| Benchmark | Hy3 | Mistral Medium 3.1 |
|---|---|---|
| LMArena Text | 1439 | — |
| LMArena Creative Writing | 1402 | — |
| EQ-Bench Creative Writing | — | 1476 |
| LMArena Multi-Turn | 1436 | — |
Frequently asked questions
Is Hy3 better than Mistral Medium 3.1?
Hy3 is the stronger model overall, scoring 44.2 to 31.9 on the Noometry Index.
Which is cheaper, Hy3 or Mistral Medium 3.1?
Hy3 is cheaper. It lists at $0.0825 per million input tokens and $0.33 per million output tokens; Mistral Medium 3.1 lists at $0.40 and $2.
Which has the bigger context window?
Hy3 does, with 262K tokens against 131K.
How many benchmarks do Hy3 and Mistral Medium 3.1 share?
1 benchmark has published results for both models. Hy3 has 19 scored results on Noometry and Mistral Medium 3.1 has 3.