Model comparison
Hy4 preview vs Mixtral 8x7B
Hy4 preview is the stronger model overall, scoring 44.6 to 26.8 on the Noometry Index. Mixtral 8x7B costs 1.8× less per token, which makes it the better buy when Hy4 preview's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Tencent
Mistral AISummary
- The widest gap is in math, where Hy4 preview leads 54.5 to 17.2.
- Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $0.83 / $2.50 for Hy4 preview.
- Hy4 preview accepts more context: 1.05M tokens versus 32K.
Side by side
| Hy4 preview | Mixtral 8x7B | |
|---|---|---|
| Provider | Tencent | Mistral AI |
| Noometry Index | 44.6 | 26.8 |
| Released | 2026-08-28 | 2023-12-11 |
| Weights | Open | Open |
| Context window | 1.05M | 32K |
| Max output | 64K | 32K |
| Input $ / M tokens | $0.83 | $0.70 |
| Output $ / M tokens | $2.50 | $0.70 |
| Results tracked | 3 | 38 |
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Category by category
Coding Hy4 preview leads
Hy4 preview: 51.4 (#36), Mixtral 8x7B: 32.2 (#265)
| Benchmark | Hy4 preview | Mixtral 8x7B |
|---|---|---|
| LMArena WebDev | 1633 | — |
| LMArena Coding | — | 1127 |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |
Reasoning Hy4 preview leads
Hy4 preview: 30.6 (#75), Mixtral 8x7B: 17.4 (#283)
| Benchmark | Hy4 preview | Mixtral 8x7B |
|---|---|---|
| NYT Connections (extended) | 68.2% | — |
| LMArena Hard Prompts | — | 1115 |
| DTBench | — | 49.6% |
| Adversarial NLI | — | 55.2% |
| Epoch Capabilities Index | — | 118.38 |
| ForecastBench | — | 56.3 |
| HellaSwag | — | 86.7% |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |
Math Hy4 preview leads
Hy4 preview: 54.5 (#37), Mixtral 8x7B: 17.2 (#284)
| Benchmark | Hy4 preview | Mixtral 8x7B |
|---|---|---|
| ProofBench | 75% | — |
| Omni-MATH | — | 10.5% |
| LMArena Math | — | 1147 |
| MATH Level 5 | — | 10% |
| GSM8K | — | 74.4% |
Knowledge Not comparable
Hy4 preview: —, Mixtral 8x7B: 11.0 (#296)
| Benchmark | Hy4 preview | Mixtral 8x7B |
|---|---|---|
| GPQA Diamond | — | 30.6% |
| MMLU-Pro | — | 33.5% |
| GPQA (HELM) | — | 29.6% |
| LMArena Expert | — | 1088 |
| ARC (AI2) Challenge | — | 87.3% |
| MMLU | — | 70.6% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |
Multilingual Not comparable
Hy4 preview: —, Mixtral 8x7B: 29.8 (#261)
| Benchmark | Hy4 preview | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | — | 1077 |
| LMArena Chinese | — | 1055 |
| LMArena French | — | 1165 |
| LMArena German | — | 1114 |
| LMArena Japanese | — | 931 |
| LMArena Korean | — | 968 |
| LMArena Russian | — | 1090 |
| LMArena Spanish | — | 1110 |
Instruction Following Not comparable
Hy4 preview: —, Mixtral 8x7B: 51.2 (#292)
| Benchmark | Hy4 preview | Mixtral 8x7B |
|---|---|---|
| IFEval | — | 57.5% |
| LMArena Instruction Following | — | 1110 |
Long Context Not comparable
Hy4 preview: —, Mixtral 8x7B: 33.4 (#255)
| Benchmark | Hy4 preview | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | — | 1103 |
Writing & Preference Not comparable
Hy4 preview: —, Mixtral 8x7B: 34.4 (#265)
| Benchmark | Hy4 preview | Mixtral 8x7B |
|---|---|---|
| LMArena Text | — | 1132 |
| LMArena Creative Writing | — | 1109 |
| WildBench | — | 67.3% |
| LMArena Multi-Turn | — | 1115 |
Frequently asked questions
Is Hy4 preview better than Mixtral 8x7B?
Hy4 preview is the stronger model overall, scoring 44.6 to 26.8 on the Noometry Index. Mixtral 8x7B costs 1.8× less per token, which makes it the better buy when Hy4 preview's lead doesn't matter for your workload.
Which is cheaper, Hy4 preview or Mixtral 8x7B?
Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; Hy4 preview lists at $0.83 and $2.50.
Is Hy4 preview or Mixtral 8x7B better for coding?
Hy4 preview scores higher on coding benchmarks: 51.4 versus 32.2 in the Noometry coding category.
Which has the bigger context window?
Hy4 preview does, with 1.05M tokens against 32K.
How many benchmarks do Hy4 preview and Mixtral 8x7B share?
0 benchmarks have published results for both models. Hy4 preview has 3 scored results on Noometry and Mixtral 8x7B has 38.