Model comparison
Mixtral 8x7B vs Phi-4 Mini
Phi-4 Mini is the stronger model overall, scoring 30.9 to 27.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
MicrosoftSummary
- The widest gap is in knowledge, where Phi-4 Mini leads 25.3 to 11.0.
- Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
- Phi-4 Mini accepts more context: 128K tokens versus 32K.
Side by side
| Mixtral 8x7B | Phi-4 Mini | |
|---|---|---|
| Provider | Mistral AI | Microsoft |
| Noometry Index | 27.1 | 30.9 |
| Released | 2023-12-11 | 2024-12-11 |
| Weights | Open | Open |
| Context window | 32K | 128K |
| Max output | 32K | 4K |
| Input $ / M tokens | $0.70 | $0.075 |
| Output $ / M tokens | $0.70 | $0.30 |
| Results tracked | 38 | 3 |
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Category by category
Coding Mixtral 8x7B leads
Mixtral 8x7B: 32.8 (#269), Phi-4 Mini: 28.1 (#317)
| Benchmark | Mixtral 8x7B | Phi-4 Mini |
|---|---|---|
| SciCode | — | 10.8% |
| LMArena Coding | 1126 | — |
| HumanEval+ | 39.6% | — |
| MBPP+ | 49.7% | — |
Reasoning Phi-4 Mini leads
Mixtral 8x7B: 18.2 (#285), Phi-4 Mini: 22.4 (#195)
| Benchmark | Mixtral 8x7B | Phi-4 Mini |
|---|---|---|
| CritPt | — | 0% |
| LMArena Hard Prompts | 1115 | — |
| 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 Not comparable
Mixtral 8x7B: 18.8 (#289), Phi-4 Mini: —
| Benchmark | Mixtral 8x7B | Phi-4 Mini |
|---|---|---|
| Omni-MATH | 10.5% | — |
| LMArena Math | 1147 | — |
| MATH Level 5 | 10% | — |
| GSM8K | 74.4% | — |
Knowledge Phi-4 Mini leads
Mixtral 8x7B: 11.0 (#301), Phi-4 Mini: 25.3 (#262)
| Benchmark | Mixtral 8x7B | Phi-4 Mini |
|---|---|---|
| GPQA Diamond | 30.6% | — |
| MMLU-Pro | 33.5% | — |
| Vectara Hallucination Rate | — | 23.5% |
| GPQA (HELM) | 29.6% | — |
| LMArena Expert | 1088 | — |
| ARC (AI2) Challenge | 87.3% | — |
| MMLU | 70.6% | — |
| OpenBookQA | 85.8% | — |
| TriviaQA | 82.2% | — |
Multilingual Not comparable
Mixtral 8x7B: 29.6 (#266), Phi-4 Mini: —
| Benchmark | Mixtral 8x7B | Phi-4 Mini |
|---|---|---|
| LMArena Non-English | 1077 | — |
| LMArena Chinese | 1055 | — |
| LMArena French | 1166 | — |
| LMArena German | 1114 | — |
| LMArena Japanese | 931 | — |
| LMArena Korean | 968 | — |
| LMArena Russian | 1090 | — |
| LMArena Spanish | 1111 | — |
Instruction Following Not comparable
Mixtral 8x7B: 51.0 (#297), Phi-4 Mini: —
| Benchmark | Mixtral 8x7B | Phi-4 Mini |
|---|---|---|
| IFEval | 57.5% | — |
| LMArena Instruction Following | 1109 | — |
Long Context Not comparable
Mixtral 8x7B: 33.4 (#260), Phi-4 Mini: —
| Benchmark | Mixtral 8x7B | Phi-4 Mini |
|---|---|---|
| LMArena Longer Query | 1103 | — |
Writing & Preference Not comparable
Mixtral 8x7B: 34.2 (#270), Phi-4 Mini: —
| Benchmark | Mixtral 8x7B | Phi-4 Mini |
|---|---|---|
| LMArena Text | 1132 | — |
| LMArena Creative Writing | 1109 | — |
| WildBench | 67.3% | — |
| LMArena Multi-Turn | 1115 | — |
Frequently asked questions
Is Mixtral 8x7B better than Phi-4 Mini?
Phi-4 Mini is the stronger model overall, scoring 30.9 to 27.1 on the Noometry Index.
Which is cheaper, Mixtral 8x7B or Phi-4 Mini?
Phi-4 Mini is cheaper. It lists at $0.075 per million input tokens and $0.30 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.
Is Mixtral 8x7B or Phi-4 Mini better for coding?
Mixtral 8x7B scores higher on coding benchmarks: 32.8 versus 28.1 in the Noometry coding category.
Which has the bigger context window?
Phi-4 Mini does, with 128K tokens against 32K.
How many benchmarks do Mixtral 8x7B and Phi-4 Mini share?
0 benchmarks have published results for both models. Mixtral 8x7B has 38 scored results on Noometry and Phi-4 Mini has 3.