Model comparison
Hy4 preview vs Mistral Large
Hy4 preview is the stronger model overall, scoring 45.3 to 31.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in math, where Hy4 preview leads 55.7 to 18.2.
- Hy4 preview is cheaper at $0.75 / $2.25 per million input/output tokens, against $2 / $6 for Mistral Large.
- Hy4 preview accepts more context: 1.05M tokens versus 131K.
Side by side
| Hy4 preview | Mistral Large | |
|---|---|---|
| Provider | Tencent | Mistral AI |
| Noometry Index | 45.3 | 31.9 |
| Released | 2026-08-28 | 2024-02-26 |
| Weights | Open | Open |
| Context window | 1.05M | 131K |
| Max output | 64K | 16K |
| Input $ / M tokens | $0.75 | $2 |
| Output $ / M tokens | $2.25 | $6 |
| Results tracked | 3 | 51 |
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Category by category
Coding Hy4 preview leads
Hy4 preview: 51.6 (#38), Mistral Large: 34.3 (#240)
| Benchmark | Hy4 preview | Mistral Large |
|---|---|---|
| LMArena WebDev | 1632 | — |
| SciCode | — | 36.2% |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| LMArena Coding | — | 1277 |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Not comparable
Hy4 preview: —, Mistral Large: 28.6 (#89)
| Benchmark | Hy4 preview | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |
Reasoning Hy4 preview leads
Hy4 preview: 31.9 (#79), Mistral Large: 15.8 (#310)
| Benchmark | Hy4 preview | Mistral Large |
|---|---|---|
| SimpleBench | — | 22.5% |
| NYT Connections (extended) | 68.2% | — |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 43.5% |
| LMArena Hard Prompts | — | 1257 |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| Epoch Capabilities Index | — | 128.52 |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |
Math Hy4 preview leads
Hy4 preview: 55.7 (#42), Mistral Large: 18.2 (#291)
| Benchmark | Hy4 preview | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| ProofBench | 75% | — |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| LMArena Math | — | 1262 |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Not comparable
Hy4 preview: —, Mistral Large: 30.1 (#230)
| Benchmark | Hy4 preview | Mistral Large |
|---|---|---|
| GPQA Diamond | — | 51.3% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| LMArena Expert | — | 1232 |
| MMLU | — | 80% |
Multilingual Not comparable
Hy4 preview: —, Mistral Large: 40.0 (#219)
| Benchmark | Hy4 preview | Mistral Large |
|---|---|---|
| LMArena Non-English | — | 1237 |
| LMArena Chinese | — | 1240 |
| LMArena French | — | 1325 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1188 |
| LMArena Korean | — | 1202 |
| LMArena Russian | — | 1257 |
| LMArena Spanish | — | 1268 |
Instruction Following Not comparable
Hy4 preview: —, Mistral Large: 67.9 (#191)
| Benchmark | Hy4 preview | Mistral Large |
|---|---|---|
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |
| LMArena Instruction Following | — | 1249 |
Long Context Not comparable
Hy4 preview: —, Mistral Large: 38.3 (#199)
| Benchmark | Hy4 preview | Mistral Large |
|---|---|---|
| LMArena Longer Query | — | 1261 |
Writing & Preference Not comparable
Hy4 preview: —, Mistral Large: 40.7 (#242)
| Benchmark | Hy4 preview | Mistral Large |
|---|---|---|
| LMArena Text | — | 1266 |
| LMArena Creative Writing | — | 1243 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LMArena Multi-Turn | — | 1260 |
| LiveBench Language | — | 39.4% |
Frequently asked questions
Is Hy4 preview better than Mistral Large?
Hy4 preview is the stronger model overall, scoring 45.3 to 31.9 on the Noometry Index.
Which is cheaper, Hy4 preview or Mistral Large?
Hy4 preview is cheaper. It lists at $0.75 per million input tokens and $2.25 per million output tokens; Mistral Large lists at $2 and $6.
Is Hy4 preview or Mistral Large better for coding?
Hy4 preview scores higher on coding benchmarks: 51.6 versus 34.3 in the Noometry coding category.
Which has the bigger context window?
Hy4 preview does, with 1.05M tokens against 131K.
How many benchmarks do Hy4 preview and Mistral Large share?
0 benchmarks have published results for both models. Hy4 preview has 3 scored results on Noometry and Mistral Large has 51.