Model comparison
Hy3 vs Mistral Medium
Hy3 is the stronger model overall, scoring 44.2 to 36.3 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Hy3 scores higher in 8 categories and Mistral Medium in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Hy3 leads 40.8 to 25.0.
- Hy3 is cheaper at $0.0825 / $0.33 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
Side by side
| Hy3 | Mistral Medium | |
|---|---|---|
| Provider | Tencent | Mistral AI |
| Noometry Index | 44.2 | 36.3 |
| Released | 2026-07-06 | 2023-12-11 |
| Weights | Open | Open |
| Context window | 262K | 262K |
| Max output | 128K | 262K |
| Input $ / M tokens | $0.0825 | $1.50 |
| Output $ / M tokens | $0.33 | $7.50 |
| Results tracked | 19 | 36 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Hy3 leads
Hy3: 46.8 (#63), Mistral Medium: 34.2 (#243)
| Benchmark | Hy3 | Mistral Medium |
|---|---|---|
| LMArena Coding | 1464 | 1434 |
| FrontierCode | — | 8% |
| LMArena WebDev | 1508 | — |
| SciCode | — | 40.2% |
| WeirdML | — | 43.7% |
| ALE-Bench | — | 763.98 |
Agentic & Tool Use Not comparable
Hy3: —, Mistral Medium: 28.3 (#90)
| Benchmark | Hy3 | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |
Reasoning Hy3 leads
Hy3: 26.1 (#136), Mistral Medium: 24.0 (#167)
| Benchmark | Hy3 | Mistral Medium |
|---|---|---|
| LMArena Hard Prompts | 1447 | 1426 |
| Kagi LLM Benchmark | — | 50% |
| NYT Connections (extended) | 41.2% | — |
| CritPt | — | 0% |
| DTBench | — | 75.5% |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |
Math Hy3 leads
Hy3: 40.1 (#93), Mistral Medium: 28.1 (#245)
| Benchmark | Hy3 | Mistral Medium |
|---|---|---|
| LMArena Math | 1475 | 1408 |
| OTIS Mock AIME 2024-2025 | — | 32.2% |
| ProofBench | — | 9% |
| MATH Level 5 | — | 81.6% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Hy3 leads
Hy3: 40.8 (#114), Mistral Medium: 25.0 (#265)
| Benchmark | Hy3 | Mistral Medium |
|---|---|---|
| LMArena Expert | 1460 | 1408 |
| GPQA Diamond | — | 59.5% |
| Humanity's Last Exam | — | 4.5% |
| Vectara Hallucination Rate | — | 22.7% |
Multimodal Not comparable
Hy3: —, Mistral Medium: 35.3 (#88)
| Benchmark | Hy3 | Mistral Medium |
|---|---|---|
| LMArena Vision | — | 1172 |
Multilingual Hy3 leads
Hy3: 53.5 (#65), Mistral Medium: 52.1 (#91)
| Benchmark | Hy3 | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1426 | 1408 |
| LMArena Chinese | 1493 | 1447 |
| LMArena French | 1461 | 1459 |
| LMArena German | 1439 | 1432 |
| LMArena Japanese | 1392 | 1378 |
| LMArena Korean | 1395 | 1380 |
| LMArena Russian | 1432 | 1411 |
| LMArena Spanish | 1456 | 1433 |
Instruction Following Hy3 leads
Hy3: 75.1 (#70), Mistral Medium: 73.7 (#116)
| Benchmark | Hy3 | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1426 | 1398 |
Long Context Hy3 leads
Hy3: 44.1 (#75), Mistral Medium: 42.9 (#114)
| Benchmark | Hy3 | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1442 | 1406 |
Writing & Preference Hy3 leads
Hy3: 62.2 (#81), Mistral Medium: 60.0 (#103)
| Benchmark | Hy3 | Mistral Medium |
|---|---|---|
| LMArena Text | 1439 | 1424 |
| LMArena Creative Writing | 1402 | 1391 |
| LMArena Multi-Turn | 1436 | 1418 |
| Short-Story Creative Writing | — | 77.3% |
Frequently asked questions
Is Hy3 better than Mistral Medium?
Hy3 is the stronger model overall, scoring 44.2 to 36.3 on the Noometry Index.
Which is cheaper, Hy3 or Mistral Medium?
Hy3 is cheaper. It lists at $0.0825 per million input tokens and $0.33 per million output tokens; Mistral Medium lists at $1.50 and $7.50.
Is Hy3 or Mistral Medium better for coding?
Hy3 scores higher on coding benchmarks: 46.8 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do Hy3 and Mistral Medium share?
17 benchmarks have published results for both models. Hy3 has 19 scored results on Noometry and Mistral Medium has 36.