Compare / Phi-4-reasoning-plus vs Ling-mini-2.0
Phi-4-reasoning-plus vs Ling-mini-2.0
Updated November 2026
Verdict
Phi-4-reasoning-plus scores higher on the Small LM Index: 57.2 vs 43.0. On the 4 benchmarks both labs report, Phi-4-reasoning-plus wins 4 and Ling-mini-2.0 wins 0. Both need about 11.4 GB of memory at 4-bit quantization. Neither model has a hosted API on OpenRouter, so you would run both yourself.
Pick Phi-4-reasoning-plus if…
- you want the strongest model overall
- you mostly write code
- you need math and reasoning
Pick Ling-mini-2.0 if…
- you work with long documents
Specifications
| Phi-4-reasoning-plus | Ling-mini-2.0 | |
|---|---|---|
| Small LM Index | 57.2 (likely 55–60) | 43.0 (likely 40–46) |
| Lab | Microsoft (Phi) · United States | InclusionAI (Ling) · China |
| Released | 2025-04-30 | 2025-09-09 |
| Parameters | 14.7B (dense) | 16.3B (1.4B active, MoE) |
| Memory at 4-bit | ~11.4 GB | ~11 GB |
| Context window | 32K tokens | 128K tokens |
| Input | text | text |
| Reasoning | Always thinks | No thinking |
| License | MIT | MIT |
| API price / 1M tokens | Self-host only | Self-host only |
| Hugging Face downloads (30 days) | 5K | 4.6K |
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 | Phi-4-reasoning-plus | Ling-mini-2.0 |
|---|---|---|
| MMLU-Pro Knowledge | 76.0 | 67.1✓ |
| GPQA Diamond Knowledge | 69.3 | 56.2✓ |
| Humanity's Last Exam Reasoning | ≈ 9 | 5.1✓ |
| AIME Math | 78.0 | 49.3✓ |
| LiveCodeBench Coding | 53.1 | 42.9✓ |
| τ²-Bench Agentic | — | 13.2✓ |
| IFBench Instruction following | — | 23.6✓ |
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, Phi-4-reasoning-plus or Ling-mini-2.0?
Phi-4-reasoning-plus scores higher on the Small LM Index: 57.2 vs 43.0. On the 4 benchmarks both labs report, Phi-4-reasoning-plus wins 4 and Ling-mini-2.0 wins 0.
Which is cheaper to run?
Neither model has a hosted API on OpenRouter, so you would run both yourself. Both need about 11.4 GB of memory at 4-bit quantization.
Which has the longer context window?
Ling-mini-2.0 has the longer context window: 128K tokens against 32K.
Can I use Phi-4-reasoning-plus and Ling-mini-2.0 commercially?
Both are released under the MIT license. Apache 2.0 and MIT allow commercial use; other licenses can add conditions, so read the license before shipping a product.