Model comparison
Mistral 7B vs Phi-4 Mini
Phi-4 Mini is the stronger model overall, scoring 30.9 to 23.0 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 7.4.
- Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $0.25 / $0.25 for Mistral 7B.
- Phi-4 Mini accepts more context: 128K tokens versus 8K.
Side by side
| Mistral 7B | Phi-4 Mini | |
|---|---|---|
| Provider | Mistral AI | Microsoft |
| Noometry Index | 23.0 | 30.9 |
| Released | 2023-09-27 | 2024-12-11 |
| Weights | Open | Open |
| Context window | 8K | 128K |
| Max output | 8K | 4K |
| Input $ / M tokens | $0.25 | $0.075 |
| Output $ / M tokens | $0.25 | $0.30 |
| Results tracked | 37 | 3 |
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Category by category
Coding Phi-4 Mini leads
Mistral 7B: 26.4 (#326), Phi-4 Mini: 28.1 (#317)
| Benchmark | Mistral 7B | Phi-4 Mini |
|---|---|---|
| SciCode | — | 10.8% |
| BigCodeBench Instruct | 19.5% | — |
| LMArena Coding | 1082 | — |
| BigCodeBench Complete | 27.3% | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Reasoning Phi-4 Mini leads
Mistral 7B: 13.1 (#336), Phi-4 Mini: 22.4 (#195)
| Benchmark | Mistral 7B | Phi-4 Mini |
|---|---|---|
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1067 | — |
| DTBench | 42.5% | — |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| Epoch Capabilities Index | 112.21 | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Not comparable
Mistral 7B: 8.1 (#325), Phi-4 Mini: —
| Benchmark | Mistral 7B | Phi-4 Mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.3% | — |
| LMArena Math | 1085 | — |
| MATH Level 5 | 3.7% | — |
| GSM8K | 54.4% | — |
Knowledge Phi-4 Mini leads
Mistral 7B: 7.4 (#311), Phi-4 Mini: 25.3 (#262)
| Benchmark | Mistral 7B | Phi-4 Mini |
|---|---|---|
| GPQA Diamond | 15.2% | — |
| Vectara Hallucination Rate | — | 23.5% |
| LMArena Expert | 1036 | — |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |
Multilingual Not comparable
Mistral 7B: 25.8 (#283), Phi-4 Mini: —
| Benchmark | Mistral 7B | Phi-4 Mini |
|---|---|---|
| LMArena Non-English | 1012 | — |
| LMArena Chinese | 1009 | — |
| LMArena French | 1037 | — |
| LMArena German | 987 | — |
| LMArena Japanese | 878 | — |
| LMArena Russian | 1018 | — |
| LMArena Spanish | 1026 | — |
Instruction Following Not comparable
Mistral 7B: 54.2 (#280), Phi-4 Mini: —
| Benchmark | Mistral 7B | Phi-4 Mini |
|---|---|---|
| LMArena Instruction Following | 1060 | — |
Long Context Not comparable
Mistral 7B: 32.2 (#271), Phi-4 Mini: —
| Benchmark | Mistral 7B | Phi-4 Mini |
|---|---|---|
| LMArena Longer Query | 1060 | — |
Writing & Preference Not comparable
Mistral 7B: 30.7 (#286), Phi-4 Mini: —
| Benchmark | Mistral 7B | Phi-4 Mini |
|---|---|---|
| LMArena Text | 1090 | — |
| LMArena Creative Writing | 1068 | — |
| LMArena Multi-Turn | 1062 | — |
Frequently asked questions
Is Mistral 7B better than Phi-4 Mini?
Phi-4 Mini is the stronger model overall, scoring 30.9 to 23.0 on the Noometry Index.
Which is cheaper, Mistral 7B 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; Mistral 7B lists at $0.25 and $0.25.
Is Mistral 7B or Phi-4 Mini better for coding?
Phi-4 Mini scores higher on coding benchmarks: 28.1 versus 26.4 in the Noometry coding category.
Which has the bigger context window?
Phi-4 Mini does, with 128K tokens against 8K.
How many benchmarks do Mistral 7B and Phi-4 Mini share?
0 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Phi-4 Mini has 3.