Model comparison
DeepSeek V4.1 Flash vs Phi-4 Mini
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 30.9 on the Noometry Index. Phi-4 Mini costs 2.0× less per token, which makes it the better buy when DeepSeek V4.1 Flash's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
DeepSeek
MicrosoftSummary
- They share 2 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 3 categories and Phi-4 Mini in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where DeepSeek V4.1 Flash leads 57.9 to 25.3.
- The biggest single-benchmark swing is SciCode: 51.9% for DeepSeek V4.1 Flash and 10.8% for Phi-4 Mini.
- Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $0.15 / $0.60 for DeepSeek V4.1 Flash.
- DeepSeek V4.1 Flash accepts more context: 1M tokens versus 128K.
Side by side
| DeepSeek V4.1 Flash | Phi-4 Mini | |
|---|---|---|
| Provider | DeepSeek | Microsoft |
| Noometry Index | 52.8 | 30.9 |
| Released | 2026-09-09 | 2024-12-11 |
| Weights | Open | Open |
| Context window | 1M | 128K |
| Max output | 393K | 4K |
| Input $ / M tokens | $0.15 | $0.075 |
| Output $ / M tokens | $0.60 | $0.30 |
| Results tracked | 37 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.9 (#32), Phi-4 Mini: 28.1 (#317)
| Benchmark | DeepSeek V4.1 Flash | Phi-4 Mini |
|---|---|---|
| SciCode | 51.9% | 10.8% |
| LMArena WebDev | 1619 | — |
| LMArena Coding | 1506 | — |
| ALE-Bench | 1,092 | — |
Agentic & Tool Use Not comparable
DeepSeek V4.1 Flash: 31.2 (#69), Phi-4 Mini: —
| Benchmark | DeepSeek V4.1 Flash | Phi-4 Mini |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 50.2 (#36), Phi-4 Mini: 22.4 (#195)
| Benchmark | DeepSeek V4.1 Flash | Phi-4 Mini |
|---|---|---|
| CritPt | 14.3% | 0% |
| NYT Connections (extended) | 89.6% | — |
| LMArena Hard Prompts | 1483 | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| Epoch Capabilities Index | 154.9 | — |
Math Not comparable
DeepSeek V4.1 Flash: 66.7 (#25), Phi-4 Mini: —
| Benchmark | DeepSeek V4.1 Flash | Phi-4 Mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 54% | — |
| LMArena Math | 1477 | — |
Knowledge DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 57.9 (#38), Phi-4 Mini: 25.3 (#262)
| Benchmark | DeepSeek V4.1 Flash | Phi-4 Mini |
|---|---|---|
| GPQA Diamond | 89.8% | — |
| Vectara Hallucination Rate | — | 23.5% |
| LMArena Expert | 1506 | — |
Multimodal Not comparable
DeepSeek V4.1 Flash: 39.1 (#61), Phi-4 Mini: —
| Benchmark | DeepSeek V4.1 Flash | Phi-4 Mini |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |
Multilingual Not comparable
DeepSeek V4.1 Flash: 55.0 (#35), Phi-4 Mini: —
| Benchmark | DeepSeek V4.1 Flash | Phi-4 Mini |
|---|---|---|
| LMArena Non-English | 1448 | — |
| LMArena Chinese | 1497 | — |
| LMArena French | 1452 | — |
| LMArena German | 1484 | — |
| LMArena Japanese | 1412 | — |
| LMArena Korean | 1452 | — |
| LMArena Russian | 1471 | — |
| LMArena Spanish | 1459 | — |
Instruction Following Not comparable
DeepSeek V4.1 Flash: 77.3 (#26), Phi-4 Mini: —
| Benchmark | DeepSeek V4.1 Flash | Phi-4 Mini |
|---|---|---|
| LMArena Instruction Following | 1474 | — |
Long Context Not comparable
DeepSeek V4.1 Flash: 45.2 (#47), Phi-4 Mini: —
| Benchmark | DeepSeek V4.1 Flash | Phi-4 Mini |
|---|---|---|
| LMArena Longer Query | 1475 | — |
Writing & Preference Not comparable
DeepSeek V4.1 Flash: 65.4 (#48), Phi-4 Mini: —
| Benchmark | DeepSeek V4.1 Flash | Phi-4 Mini |
|---|---|---|
| LMArena Text | 1462 | — |
| LMArena Creative Writing | 1435 | — |
| EQ-Bench Creative Writing | 1540 | — |
| LMArena Multi-Turn | 1457 | — |
Frequently asked questions
Is DeepSeek V4.1 Flash better than Phi-4 Mini?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 30.9 on the Noometry Index. Phi-4 Mini costs 2.0× less per token, which makes it the better buy when DeepSeek V4.1 Flash's lead doesn't matter for your workload.
Which is cheaper, DeepSeek V4.1 Flash 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; DeepSeek V4.1 Flash lists at $0.15 and $0.60.
Is DeepSeek V4.1 Flash or Phi-4 Mini better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 28.1 in the Noometry coding category.
Which has the bigger context window?
DeepSeek V4.1 Flash does, with 1M tokens against 128K.
How many benchmarks do DeepSeek V4.1 Flash and Phi-4 Mini share?
2 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Phi-4 Mini has 3.