Model comparison
Mistral Large 4 vs Phi-4 Mini
Mistral Large 4 is the stronger model overall, scoring 43.1 to 30.9 on the Noometry Index. Phi-4 Mini costs 7.9× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AI
MicrosoftSummary
- The widest gap is in coding, where Mistral Large 4 leads 48.6 to 28.1.
- Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
- Mistral Large 4 accepts more context: 1.05M tokens versus 128K.
- Phi-4 Mini has downloadable open weights; the other is API-only.
Side by side
| Mistral Large 4 | Phi-4 Mini | |
|---|---|---|
| Provider | Mistral AI | Microsoft |
| Noometry Index | 43.1 | 30.9 |
| Released | 2026-10-06 | 2024-12-11 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 128K |
| Max output | 262K | 4K |
| Input $ / M tokens | $0.68 | $0.075 |
| Output $ / M tokens | $2.09 | $0.30 |
| Results tracked | 15 | 3 |
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Category by category
Coding Mistral Large 4 leads
Mistral Large 4: 48.6 (#57), Phi-4 Mini: 28.1 (#317)
| Benchmark | Mistral Large 4 | Phi-4 Mini |
|---|---|---|
| LMArena WebDev | 1541 | — |
| SciCode | — | 10.8% |
| LMArena Coding | 1475 | — |
Reasoning Too close to call
Mistral Large 4: 22.5 (#192), Phi-4 Mini: 22.4 (#195)
| Benchmark | Mistral Large 4 | Phi-4 Mini |
|---|---|---|
| NYT Connections (extended) | 27.4% | — |
| CritPt | — | 0% |
| LMArena Hard Prompts | 1444 | — |
Math Not comparable
Mistral Large 4: 40.4 (#91), Phi-4 Mini: —
| Benchmark | Mistral Large 4 | Phi-4 Mini |
|---|---|---|
| LMArena Math | 1488 | — |
Knowledge Mistral Large 4 leads
Mistral Large 4: 36.6 (#166), Phi-4 Mini: 25.3 (#262)
| Benchmark | Mistral Large 4 | Phi-4 Mini |
|---|---|---|
| SimpleQA Verified | 20% | — |
| Vectara Hallucination Rate | — | 23.5% |
| LMArena Expert | 1447 | — |
Multilingual Not comparable
Mistral Large 4: 52.6 (#82), Phi-4 Mini: —
| Benchmark | Mistral Large 4 | Phi-4 Mini |
|---|---|---|
| LMArena Non-English | 1415 | — |
| LMArena Chinese | 1491 | — |
| LMArena Russian | 1414 | — |
Instruction Following Not comparable
Mistral Large 4: 75.0 (#76), Phi-4 Mini: —
| Benchmark | Mistral Large 4 | Phi-4 Mini |
|---|---|---|
| LMArena Instruction Following | 1424 | — |
Long Context Not comparable
Mistral Large 4: 43.6 (#89), Phi-4 Mini: —
| Benchmark | Mistral Large 4 | Phi-4 Mini |
|---|---|---|
| LMArena Longer Query | 1429 | — |
Writing & Preference Not comparable
Mistral Large 4: 60.4 (#97), Phi-4 Mini: —
| Benchmark | Mistral Large 4 | Phi-4 Mini |
|---|---|---|
| LMArena Text | 1427 | — |
| LMArena Creative Writing | 1361 | — |
| LMArena Multi-Turn | 1424 | — |
Frequently asked questions
Is Mistral Large 4 better than Phi-4 Mini?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 30.9 on the Noometry Index. Phi-4 Mini costs 7.9× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.
Which is cheaper, Mistral Large 4 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 Large 4 lists at $0.68 and $2.09.
Is Mistral Large 4 or Phi-4 Mini better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 28.1 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 128K.
How many benchmarks do Mistral Large 4 and Phi-4 Mini share?
0 benchmarks have published results for both models. Mistral Large 4 has 15 scored results on Noometry and Phi-4 Mini has 3.