Compare / Ministral 3 14B vs Phi-4-reasoning-plus
Ministral 3 14B vs Phi-4-reasoning-plus
Updated November 2026
Verdict
Ministral 3 14B scores higher on the Small LM Index: 60.0 vs 54.4, although their likely ranges overlap, so the lead is not certain. On the 3 benchmarks both labs report, Ministral 3 14B wins 3 and Phi-4-reasoning-plus wins 0. Both need about 11.4 GB of memory at 4-bit quantization. Only Ministral 3 14B has a hosted API on OpenRouter ($0.20 per million tokens); the other has to be self-hosted.
Pick Ministral 3 14B if…
- you want the strongest model overall
- you mostly write code
- you need math and reasoning
- you want a hosted API rather than running it yourself
- you work with long documents
- you need image input
- you want the more widely used model (more quantized builds and community support)
Pick Phi-4-reasoning-plus if…
No clear advantage in the data we have.
Specifications
| Ministral 3 14B | Phi-4-reasoning-plus | |
|---|---|---|
| Small LM Index | 60.0 (likely 56–64) | 54.4 (likely 50–59) |
| Lab | Mistral AI · Europe | Microsoft (Phi) · United States |
| Released | 2025-12-02 | 2025-04-30 |
| Parameters | 14B (dense) | 14.7B (dense) |
| Memory at 4-bit | ~10.6 GB | ~11.4 GB |
| Context window | 256K tokens | 32K tokens |
| Input | text, image | text |
| Reasoning | Hybrid (thinking on/off) | Always thinks |
| License | Apache-2.0 | MIT |
| API price / 1M tokens | $0.20 ($0.20 in, $0.20 out) | Self-host only |
| Hugging Face downloads (30 days) | 294.8K | 4.9K |
Benchmarks
Higher is better. Bold marks the winner where both labs report a score. ≈ marks the index model's estimate for a score that wasn't reported, ✓ an independent measurement and * a score measured by another lab.
| Benchmark | Ministral 3 14B | Phi-4-reasoning-plus |
|---|---|---|
| MMLU-Pro Knowledge | ≈ 79 | 76.0 |
| GPQA Diamond Knowledge | 71.2 | 69.3 |
| AIME Math | 85.0 | 78.0 |
| LiveCodeBench Coding | 64.6 | 53.1 |
Scores are mostly reported by each lab with its own settings, so small gaps are noise. See the methodology. Open in the interactive comparison to add more models.
Questions
Which is better, Ministral 3 14B or Phi-4-reasoning-plus?
Ministral 3 14B scores higher on the Small LM Index: 60.0 vs 54.4, although their likely ranges overlap, so the lead is not certain. On the 3 benchmarks both labs report, Ministral 3 14B wins 3 and Phi-4-reasoning-plus wins 0.
Which is cheaper to run?
Only Ministral 3 14B has a hosted API on OpenRouter ($0.20 per million tokens); the other has to be self-hosted. Both need about 11.4 GB of memory at 4-bit quantization.
Which has the longer context window?
Ministral 3 14B has the longer context window: 256K tokens against 32K.
Can I use Ministral 3 14B and Phi-4-reasoning-plus commercially?
Ministral 3 14B is released under Apache-2.0 and Phi-4-reasoning-plus under MIT. Apache 2.0 and MIT allow commercial use; other licenses can add conditions, so read the license before shipping a product.
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