Model comparison
Mistral Medium vs Phi-4
Mistral Medium is the stronger model overall, scoring 36.0 to 30.9 on the Noometry Index. Phi-4 costs 34× less per token, which makes it the better buy when Mistral Medium's lead doesn't matter for your workload.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. Mistral Medium scores higher in 7 categories and Phi-4 in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium leads 60.2 to 40.7.
- The biggest single-benchmark swing is Vectara Hallucination Rate: 22.7% for Mistral Medium and 3.7% for Phi-4.
- Phi-4 is cheaper at $0.07 / $0.14 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
- Mistral Medium accepts more context: 262K tokens versus 128K.
Side by side
| Mistral Medium | Phi-4 | |
|---|---|---|
| Provider | Mistral AI | Microsoft |
| Noometry Index | 36.0 | 30.9 |
| Released | 2023-12-11 | 2024-12-11 |
| Weights | Open | Open |
| Context window | 262K | 128K |
| Max output | 262K | 4K |
| Input $ / M tokens | $1.50 | $0.07 |
| Output $ / M tokens | $7.50 | $0.14 |
| Results tracked | 36 | 37 |
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Category by category
Coding Too close to call
Mistral Medium: 33.8 (#241), Phi-4: 33.8 (#237)
| Benchmark | Mistral Medium | Phi-4 |
|---|---|---|
| LMArena Coding | 1434 | 1231 |
| FrontierCode | 8% | — |
| SciCode | 40.2% | — |
| WeirdML | 43.7% | — |
| BigCodeBench Instruct | — | 45.5% |
| LiveBench Coding | — | 30.7% |
| BigCodeBench Complete | — | 55.4% |
| ALE-Bench | 763.98 | — |
Agentic & Tool Use Mistral Medium leads
Mistral Medium: 28.1 (#84), Phi-4: 22.6 (#120)
| Benchmark | Mistral Medium | Phi-4 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.7% | 28.8% |
| BALROG | — | 11.6% |
Reasoning Mistral Medium leads
Mistral Medium: 23.3 (#165), Phi-4: 17.0 (#287)
| Benchmark | Mistral Medium | Phi-4 |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1220 |
| Kagi LLM Benchmark | 50% | — |
| CritPt | 0% | — |
| Chess Puzzles | — | 1% |
| LiveBench Reasoning | — | 47.8% |
| DTBench | 75.5% | — |
| LiveBench Data Analysis | — | 45.2% |
| LMCA | 26.1% | — |
| Surface Evolver Bench | 26.9% | — |
| Epoch Capabilities Index | — | 130.43 |
| LiveBench | — | 41.6% |
Math Mistral Medium leads
Mistral Medium: 27.2 (#238), Phi-4: 19.6 (#279)
| Benchmark | Mistral Medium | Phi-4 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 32.2% | 13.8% |
| LMArena Math | 1409 | 1246 |
| MATH Level 5 | 81.6% | 64.9% |
| ProofBench | 9% | — |
| LiveBench Math | — | 42% |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Phi-4 leads
Mistral Medium: 24.9 (#260), Phi-4: 32.5 (#204)
| Benchmark | Mistral Medium | Phi-4 |
|---|---|---|
| GPQA Diamond | 59.5% | 56.1% |
| Vectara Hallucination Rate | 22.7% | 3.7% |
| LMArena Expert | 1408 | 1203 |
| Humanity's Last Exam | 4.5% | — |
| Confabulations | — | 29.4% |
| MMLU | — | 84.8% |
Multimodal Not comparable
Mistral Medium: 34.6 (#82), Phi-4: —
| Benchmark | Mistral Medium | Phi-4 |
|---|---|---|
| LMArena Vision | 1172 | — |
Multilingual Mistral Medium leads
Mistral Medium: 52.3 (#86), Phi-4: 37.4 (#232)
| Benchmark | Mistral Medium | Phi-4 |
|---|---|---|
| LMArena Non-English | 1408 | 1197 |
| LMArena Chinese | 1448 | 1211 |
| LMArena French | 1460 | 1223 |
| LMArena German | 1433 | 1222 |
| LMArena Japanese | 1378 | 1158 |
| LMArena Korean | 1382 | 1151 |
| LMArena Russian | 1411 | 1209 |
| LMArena Spanish | 1433 | 1234 |
Instruction Following Mistral Medium leads
Mistral Medium: 73.9 (#111), Phi-4: 60.6 (#246)
| Benchmark | Mistral Medium | Phi-4 |
|---|---|---|
| LMArena Instruction Following | 1398 | 1201 |
| LiveBench Instruction Following | — | 58.4% |
Long Context Mistral Medium leads
Mistral Medium: 42.9 (#108), Phi-4: 36.9 (#221)
| Benchmark | Mistral Medium | Phi-4 |
|---|---|---|
| LMArena Longer Query | 1406 | 1217 |
Writing & Preference Mistral Medium leads
Mistral Medium: 60.2 (#97), Phi-4: 40.7 (#239)
| Benchmark | Mistral Medium | Phi-4 |
|---|---|---|
| LMArena Text | 1424 | 1217 |
| LMArena Creative Writing | 1391 | 1182 |
| Short-Story Creative Writing | 77.3% | 62.6% |
| LMArena Multi-Turn | 1418 | 1206 |
| LiveBench Language | — | 25.6% |
Frequently asked questions
Is Mistral Medium better than Phi-4?
Mistral Medium is the stronger model overall, scoring 36.0 to 30.9 on the Noometry Index. Phi-4 costs 34× less per token, which makes it the better buy when Mistral Medium's lead doesn't matter for your workload.
Which is cheaper, Mistral Medium or Phi-4?
Phi-4 is cheaper. It lists at $0.07 per million input tokens and $0.14 per million output tokens; Mistral Medium lists at $1.50 and $7.50.
Is Mistral Medium or Phi-4 better for coding?
They score almost the same on coding (33.8 vs 33.8); test both on your own repository before choosing.
Which has the bigger context window?
Mistral Medium does, with 262K tokens against 128K.
How many benchmarks do Mistral Medium and Phi-4 share?
23 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and Phi-4 has 37.