Model comparison
Mixtral 8x22B 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 15.1.
- Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
- Phi-4 Mini accepts more context: 128K tokens versus 64K.
Side by side
| Mixtral 8x22B | Phi-4 Mini | |
|---|---|---|
| Provider | Mistral AI | Microsoft |
| Noometry Index | 27.1 | 30.9 |
| Released | 2024-04-17 | 2024-12-11 |
| Weights | Open | Open |
| Context window | 64K | 128K |
| Max output | 64K | 4K |
| Input $ / M tokens | $2 | $0.075 |
| Output $ / M tokens | $6 | $0.30 |
| Results tracked | 34 | 3 |
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Category by category
Coding Phi-4 Mini leads
Mixtral 8x22B: 24.2 (#329), Phi-4 Mini: 28.1 (#317)
| Benchmark | Mixtral 8x22B | Phi-4 Mini |
|---|---|---|
| SciCode | — | 10.8% |
| WeirdML | 3.2% | — |
| BigCodeBench Instruct | 40.6% | — |
| LMArena Coding | 1166 | — |
| BigCodeBench Complete | 50.2% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 64.3% | — |
Agentic & Tool Use Not comparable
Mixtral 8x22B: 23.1 (#127), Phi-4 Mini: —
| Benchmark | Mixtral 8x22B | Phi-4 Mini |
|---|---|---|
| Cybench | 7.5% | — |
Reasoning Phi-4 Mini leads
Mixtral 8x22B: 19.9 (#248), Phi-4 Mini: 22.4 (#195)
| Benchmark | Mixtral 8x22B | Phi-4 Mini |
|---|---|---|
| CritPt | — | 0% |
| LMArena Hard Prompts | 1150 | — |
| DTBench | 55.1% | — |
| Epoch Capabilities Index | 122.03 | — |
| ForecastBench | 56.3 | — |
Math Not comparable
Mixtral 8x22B: 22.9 (#275), Phi-4 Mini: —
| Benchmark | Mixtral 8x22B | Phi-4 Mini |
|---|---|---|
| Omni-MATH | 16.3% | — |
| LMArena Math | 1184 | — |
| MATH Level 5 | 24.2% | — |
Knowledge Phi-4 Mini leads
Mixtral 8x22B: 15.1 (#293), Phi-4 Mini: 25.3 (#262)
| Benchmark | Mixtral 8x22B | Phi-4 Mini |
|---|---|---|
| GPQA Diamond | 34.1% | — |
| MMLU-Pro | 46% | — |
| Vectara Hallucination Rate | — | 23.5% |
| GPQA (HELM) | 33.4% | — |
| LMArena Expert | 1113 | — |
| MMLU | 77.8% | — |
Multilingual Not comparable
Mixtral 8x22B: 32.8 (#255), Phi-4 Mini: —
| Benchmark | Mixtral 8x22B | Phi-4 Mini |
|---|---|---|
| LMArena Non-English | 1128 | — |
| LMArena Chinese | 1116 | — |
| LMArena French | 1166 | — |
| LMArena German | 1141 | — |
| LMArena Japanese | 1037 | — |
| LMArena Korean | 1057 | — |
| LMArena Russian | 1158 | — |
| LMArena Spanish | 1151 | — |
Instruction Following Not comparable
Mixtral 8x22B: 57.7 (#266), Phi-4 Mini: —
| Benchmark | Mixtral 8x22B | Phi-4 Mini |
|---|---|---|
| IFEval | 72.4% | — |
| LMArena Instruction Following | 1147 | — |
Long Context Not comparable
Mixtral 8x22B: 34.7 (#247), Phi-4 Mini: —
| Benchmark | Mixtral 8x22B | Phi-4 Mini |
|---|---|---|
| LMArena Longer Query | 1144 | — |
Writing & Preference Not comparable
Mixtral 8x22B: 36.9 (#262), Phi-4 Mini: —
| Benchmark | Mixtral 8x22B | Phi-4 Mini |
|---|---|---|
| LMArena Text | 1162 | — |
| LMArena Creative Writing | 1141 | — |
| WildBench | 71.1% | — |
| LMArena Multi-Turn | 1130 | — |
Frequently asked questions
Is Mixtral 8x22B 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 8x22B 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 8x22B lists at $2 and $6.
Is Mixtral 8x22B or Phi-4 Mini better for coding?
Phi-4 Mini scores higher on coding benchmarks: 28.1 versus 24.2 in the Noometry coding category.
Which has the bigger context window?
Phi-4 Mini does, with 128K tokens against 64K.
How many benchmarks do Mixtral 8x22B and Phi-4 Mini share?
0 benchmarks have published results for both models. Mixtral 8x22B has 34 scored results on Noometry and Phi-4 Mini has 3.