Model comparison
Hy3 vs Mixtral 8x7B
Hy3 is the stronger model overall, scoring 44.2 to 27.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
Tencent
Mistral AISummary
- They share 17 benchmarks with published results for both. Hy3 scores higher in 8 categories and Mixtral 8x7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Hy3 leads 40.8 to 11.0.
- Hy3 is cheaper at $0.0825 / $0.33 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
- Hy3 accepts more context: 262K tokens versus 32K.
Side by side
| Hy3 | Mixtral 8x7B | |
|---|---|---|
| Provider | Tencent | Mistral AI |
| Noometry Index | 44.2 | 27.1 |
| Released | 2026-07-06 | 2023-12-11 |
| Weights | Open | Open |
| Context window | 262K | 32K |
| Max output | 128K | 32K |
| Input $ / M tokens | $0.0825 | $0.70 |
| Output $ / M tokens | $0.33 | $0.70 |
| Results tracked | 19 | 38 |
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Category by category
Coding Hy3 leads
Hy3: 46.8 (#63), Mixtral 8x7B: 32.8 (#269)
| Benchmark | Hy3 | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1464 | 1126 |
| LMArena WebDev | 1508 | — |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |
Reasoning Hy3 leads
Hy3: 26.1 (#136), Mixtral 8x7B: 18.2 (#285)
| Benchmark | Hy3 | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1447 | 1115 |
| NYT Connections (extended) | 41.2% | — |
| DTBench | — | 49.6% |
| Adversarial NLI | — | 55.2% |
| Epoch Capabilities Index | — | 118.47 |
| ForecastBench | — | 56.3 |
| HellaSwag | — | 86.7% |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |
Math Hy3 leads
Hy3: 40.1 (#93), Mixtral 8x7B: 18.8 (#289)
| Benchmark | Hy3 | Mixtral 8x7B |
|---|---|---|
| LMArena Math | 1475 | 1147 |
| Omni-MATH | — | 10.5% |
| MATH Level 5 | — | 10% |
| GSM8K | — | 74.4% |
Knowledge Hy3 leads
Hy3: 40.8 (#114), Mixtral 8x7B: 11.0 (#301)
| Benchmark | Hy3 | Mixtral 8x7B |
|---|---|---|
| LMArena Expert | 1460 | 1088 |
| GPQA Diamond | — | 30.6% |
| MMLU-Pro | — | 33.5% |
| GPQA (HELM) | — | 29.6% |
| ARC (AI2) Challenge | — | 87.3% |
| MMLU | — | 70.6% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |
Multilingual Hy3 leads
Hy3: 53.5 (#65), Mixtral 8x7B: 29.6 (#266)
| Benchmark | Hy3 | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1426 | 1077 |
| LMArena Chinese | 1493 | 1055 |
| LMArena French | 1461 | 1166 |
| LMArena German | 1439 | 1114 |
| LMArena Japanese | 1392 | 931 |
| LMArena Korean | 1395 | 968 |
| LMArena Russian | 1432 | 1090 |
| LMArena Spanish | 1456 | 1111 |
Instruction Following Hy3 leads
Hy3: 75.1 (#70), Mixtral 8x7B: 51.0 (#297)
| Benchmark | Hy3 | Mixtral 8x7B |
|---|---|---|
| LMArena Instruction Following | 1426 | 1109 |
| IFEval | — | 57.5% |
Long Context Hy3 leads
Hy3: 44.1 (#75), Mixtral 8x7B: 33.4 (#260)
| Benchmark | Hy3 | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1442 | 1103 |
Writing & Preference Hy3 leads
Hy3: 62.2 (#81), Mixtral 8x7B: 34.2 (#270)
| Benchmark | Hy3 | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1439 | 1132 |
| LMArena Creative Writing | 1402 | 1109 |
| LMArena Multi-Turn | 1436 | 1115 |
| WildBench | — | 67.3% |
Frequently asked questions
Is Hy3 better than Mixtral 8x7B?
Hy3 is the stronger model overall, scoring 44.2 to 27.1 on the Noometry Index.
Which is cheaper, Hy3 or Mixtral 8x7B?
Hy3 is cheaper. It lists at $0.0825 per million input tokens and $0.33 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.
Is Hy3 or Mixtral 8x7B better for coding?
Hy3 scores higher on coding benchmarks: 46.8 versus 32.8 in the Noometry coding category.
Which has the bigger context window?
Hy3 does, with 262K tokens against 32K.
How many benchmarks do Hy3 and Mixtral 8x7B share?
17 benchmarks have published results for both models. Hy3 has 19 scored results on Noometry and Mixtral 8x7B has 38.