Model comparison
Gemini 3.7 Flash vs Phi-4 Mini
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 30.9 on the Noometry Index. Phi-4 Mini costs 11× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Google
MicrosoftSummary
- They share 2 benchmarks with published results for both. Gemini 3.7 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 reasoning, where Gemini 3.7 Flash leads 70.0 to 22.4.
- The biggest single-benchmark swing is SciCode: 59.8% for Gemini 3.7 Flash and 10.8% for Phi-4 Mini.
- Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.7 Flash.
- Gemini 3.7 Flash accepts more context: 1.05M tokens versus 128K.
- Phi-4 Mini has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.7 Flash | Phi-4 Mini | |
|---|---|---|
| Provider | Microsoft | |
| Noometry Index | 59.8 | 30.9 |
| Released | 2026-08-13 | 2024-12-11 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 128K |
| Max output | 66K | 4K |
| Input $ / M tokens | $0.75 | $0.075 |
| Output $ / M tokens | $3.75 | $0.30 |
| Results tracked | 44 | 3 |
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Category by category
Coding Gemini 3.7 Flash leads
Gemini 3.7 Flash: 56.2 (#22), Phi-4 Mini: 28.1 (#317)
| Benchmark | Gemini 3.7 Flash | Phi-4 Mini |
|---|---|---|
| SciCode | 59.8% | 10.8% |
| DeepSWE | 65.5% | — |
| FrontierCode | 43.6% | — |
| LMArena WebDev | 1592 | — |
| FrontierSWE | 20.3% | — |
| LMArena Coding | 1497 | — |
| ALE-Bench | 904.3 | — |
Agentic & Tool Use Not comparable
Gemini 3.7 Flash: 42.1 (#19), Phi-4 Mini: —
| Benchmark | Gemini 3.7 Flash | Phi-4 Mini |
|---|---|---|
| APEX-Agents | 67.8% | — |
| Remote Labor Index | 5% | — |
| GDP.pdf | 23.8% | — |
Reasoning Gemini 3.7 Flash leads
Gemini 3.7 Flash: 70.0 (#15), Phi-4 Mini: 22.4 (#195)
| Benchmark | Gemini 3.7 Flash | Phi-4 Mini |
|---|---|---|
| CritPt | 14.3% | 0% |
| ARC-AGI-2 | 84.6% | — |
| NYT Connections (extended) | 94% | — |
| ARC-AGI-1 | 95.5% | — |
| Chess Puzzles | 47% | — |
| LMArena Hard Prompts | 1494 | — |
| Mystery Game Puzzles | 37% | — |
| DTBench | 96.8% | — |
| LMCA | 50.4% | — |
| Epoch Capabilities Index | 157.27 | — |
Math Not comparable
Gemini 3.7 Flash: 69.6 (#23), Phi-4 Mini: —
| Benchmark | Gemini 3.7 Flash | Phi-4 Mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 71.6% | — |
| FrontierMath Tier 4 | 36.6% | — |
| OTIS Mock AIME 2024-2025 | 97.2% | — |
| ProofBench | 58% | — |
| LMArena Math | 1507 | — |
Knowledge Gemini 3.7 Flash leads
Gemini 3.7 Flash: 69.7 (#5), Phi-4 Mini: 25.3 (#262)
| Benchmark | Gemini 3.7 Flash | Phi-4 Mini |
|---|---|---|
| GPQA Diamond | 94.8% | — |
| SimpleQA Verified | 69.2% | — |
| Vectara Hallucination Rate | — | 23.5% |
| LMArena Expert | 1508 | — |
Multimodal Not comparable
Gemini 3.7 Flash: 37.3 (#73), Phi-4 Mini: —
| Benchmark | Gemini 3.7 Flash | Phi-4 Mini |
|---|---|---|
| LMArena Vision | 1316 | — |
| Furniture Assembly | 26.7% | — |
Multilingual Not comparable
Gemini 3.7 Flash: 57.6 (#7), Phi-4 Mini: —
| Benchmark | Gemini 3.7 Flash | Phi-4 Mini |
|---|---|---|
| LMArena Non-English | 1484 | — |
| LMArena Chinese | 1548 | — |
| LMArena French | 1505 | — |
| LMArena German | 1498 | — |
| LMArena Japanese | 1512 | — |
| LMArena Korean | 1483 | — |
| LMArena Russian | 1516 | — |
| LMArena Spanish | 1503 | — |
Instruction Following Not comparable
Gemini 3.7 Flash: 77.7 (#15), Phi-4 Mini: —
| Benchmark | Gemini 3.7 Flash | Phi-4 Mini |
|---|---|---|
| LMArena Instruction Following | 1483 | — |
Long Context Not comparable
Gemini 3.7 Flash: 45.7 (#30), Phi-4 Mini: —
| Benchmark | Gemini 3.7 Flash | Phi-4 Mini |
|---|---|---|
| LMArena Longer Query | 1492 | — |
Writing & Preference Not comparable
Gemini 3.7 Flash: 71.2 (#20), Phi-4 Mini: —
| Benchmark | Gemini 3.7 Flash | Phi-4 Mini |
|---|---|---|
| LMArena Text | 1486 | — |
| LMArena Creative Writing | 1490 | — |
| EQ-Bench Creative Writing | 1723 | — |
| LMArena Multi-Turn | 1489 | — |
Frequently asked questions
Is Gemini 3.7 Flash better than Phi-4 Mini?
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 30.9 on the Noometry Index. Phi-4 Mini costs 11× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.
Which is cheaper, Gemini 3.7 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; Gemini 3.7 Flash lists at $0.75 and $3.75.
Is Gemini 3.7 Flash or Phi-4 Mini better for coding?
Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 28.1 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.7 Flash does, with 1.05M tokens against 128K.
How many benchmarks do Gemini 3.7 Flash and Phi-4 Mini share?
2 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and Phi-4 Mini has 3.