Model comparison
DeepSeek V4.1 Flash vs Phi-3.5-mini
DeepSeek V4.1 Flash has enough public results to be ranked (#38); Phi-3.5-mini does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
DeepSeek
MicrosoftSummary
- The widest gap is in coding, where DeepSeek V4.1 Flash leads 52.9 to 34.6.
Side by side
| DeepSeek V4.1 Flash | Phi-3.5-mini | |
|---|---|---|
| Provider | DeepSeek | Microsoft |
| Noometry Index | 52.8 | 36.9 |
| Released | 2026-09-09 | 2024-08-16 |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 37 | 5 |
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Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.9 (#32), Phi-3.5-mini: 34.6 (#232)
| Benchmark | DeepSeek V4.1 Flash | Phi-3.5-mini |
|---|---|---|
| LMArena WebDev | 1619 | — |
| SciCode | 51.9% | — |
| BigCodeBench Instruct | — | 32.8% |
| LMArena Coding | 1506 | — |
| BigCodeBench Complete | — | 38.5% |
| ALE-Bench | 1,092 | — |
Agentic & Tool Use Not comparable
DeepSeek V4.1 Flash: 31.2 (#69), Phi-3.5-mini: —
| Benchmark | DeepSeek V4.1 Flash | Phi-3.5-mini |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |
Reasoning Not comparable
DeepSeek V4.1 Flash: 50.2 (#36), Phi-3.5-mini: —
| Benchmark | DeepSeek V4.1 Flash | Phi-3.5-mini |
|---|---|---|
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| LMArena Hard Prompts | 1483 | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| Epoch Capabilities Index | 154.9 | — |
| PIQA | — | 81% |
Math Not comparable
DeepSeek V4.1 Flash: 66.7 (#25), Phi-3.5-mini: —
| Benchmark | DeepSeek V4.1 Flash | Phi-3.5-mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 54% | — |
| LMArena Math | 1477 | — |
| GSM8K | — | 86.2% |
Knowledge Not comparable
DeepSeek V4.1 Flash: 57.9 (#38), Phi-3.5-mini: —
| Benchmark | DeepSeek V4.1 Flash | Phi-3.5-mini |
|---|---|---|
| GPQA Diamond | 89.8% | — |
| LMArena Expert | 1506 | — |
| BoolQ | — | 78% |
Multimodal Not comparable
DeepSeek V4.1 Flash: 39.1 (#61), Phi-3.5-mini: —
| Benchmark | DeepSeek V4.1 Flash | Phi-3.5-mini |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |
Multilingual Not comparable
DeepSeek V4.1 Flash: 55.0 (#35), Phi-3.5-mini: —
| Benchmark | DeepSeek V4.1 Flash | Phi-3.5-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-3.5-mini: —
| Benchmark | DeepSeek V4.1 Flash | Phi-3.5-mini |
|---|---|---|
| LMArena Instruction Following | 1474 | — |
Long Context Not comparable
DeepSeek V4.1 Flash: 45.2 (#47), Phi-3.5-mini: —
| Benchmark | DeepSeek V4.1 Flash | Phi-3.5-mini |
|---|---|---|
| LMArena Longer Query | 1475 | — |
Writing & Preference Not comparable
DeepSeek V4.1 Flash: 65.4 (#48), Phi-3.5-mini: —
| Benchmark | DeepSeek V4.1 Flash | Phi-3.5-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-3.5-mini?
DeepSeek V4.1 Flash has enough public results to be ranked (#38); Phi-3.5-mini does not yet, so treat this comparison as directional.
Is DeepSeek V4.1 Flash or Phi-3.5-mini better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 34.6 in the Noometry coding category.
How many benchmarks do DeepSeek V4.1 Flash and Phi-3.5-mini share?
0 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Phi-3.5-mini has 5.