Model comparison
Ministral 3B vs Phi-4 Mini
Phi-4 Mini is the stronger model overall, scoring 30.9 to 26.2 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Ministral 3B scores higher in 0 categories and Phi-4 Mini in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Phi-4 Mini leads 25.3 to 10.4.
- The biggest single-benchmark swing is Vectara Hallucination Rate: 7.3% for Ministral 3B and 23.5% for Phi-4 Mini.
- Ministral 3B is cheaper at $0.10 / $0.10 per million input/output tokens, against $0.075 / $0.30 for Phi-4 Mini.
- Ministral 3B accepts more context: 131K tokens versus 128K.
Side by side
| Ministral 3B | Phi-4 Mini | |
|---|---|---|
| Provider | Mistral AI | Microsoft |
| Noometry Index | 26.2 | 30.9 |
| Released | 2024-10-01 | 2024-12-11 |
| Weights | Open | Open |
| Context window | 131K | 128K |
| Max output | 262K | 4K |
| Input $ / M tokens | $0.10 | $0.075 |
| Output $ / M tokens | $0.10 | $0.30 |
| Results tracked | 6 | 3 |
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Category by category
Coding Not comparable
Ministral 3B: —, Phi-4 Mini: 28.1 (#317)
| Benchmark | Ministral 3B | Phi-4 Mini |
|---|---|---|
| SciCode | — | 10.8% |
Reasoning Phi-4 Mini leads
Ministral 3B: 18.4 (#282), Phi-4 Mini: 22.4 (#195)
| Benchmark | Ministral 3B | Phi-4 Mini |
|---|---|---|
| CritPt | — | 0% |
| DTBench | 51.7% | — |
| LMCA | 5.5% | — |
| Epoch Capabilities Index | 118.1 | — |
Math Not comparable
Ministral 3B: 26.6 (#258), Phi-4 Mini: —
| Benchmark | Ministral 3B | Phi-4 Mini |
|---|---|---|
| MATH Level 5 | 14.4% | — |
Knowledge Phi-4 Mini leads
Ministral 3B: 10.4 (#302), Phi-4 Mini: 25.3 (#262)
| Benchmark | Ministral 3B | Phi-4 Mini |
|---|---|---|
| Vectara Hallucination Rate | 7.3% | 23.5% |
| GPQA Diamond | 25.3% | — |
Frequently asked questions
Is Ministral 3B better than Phi-4 Mini?
Phi-4 Mini is the stronger model overall, scoring 30.9 to 26.2 on the Noometry Index.
Which is cheaper, Ministral 3B or Phi-4 Mini?
Ministral 3B is cheaper. It lists at $0.10 per million input tokens and $0.10 per million output tokens; Phi-4 Mini lists at $0.075 and $0.30.
Which has the bigger context window?
Ministral 3B does, with 131K tokens against 128K.
How many benchmarks do Ministral 3B and Phi-4 Mini share?
1 benchmark has published results for both models. Ministral 3B has 6 scored results on Noometry and Phi-4 Mini has 3.