Model comparison
Gemini 2.5 Pro vs Phi-4
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 31.2 on the Noometry Index. Phi-4 costs 39× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Last verified . 33 shared benchmarks.
Summary
- They share 33 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 9 categories and Phi-4 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.5 Pro leads 56.0 to 32.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 84.7% for Gemini 2.5 Pro and 13.8% for Phi-4.
- Phi-4 is cheaper at $0.07 / $0.14 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
- Gemini 2.5 Pro accepts more context: 1.05M tokens versus 128K.
- Phi-4 has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Pro | Phi-4 | |
|---|---|---|
| Provider | Microsoft | |
| Noometry Index | 45.0 | 31.2 |
| Released | 2025-03-25 | 2024-12-11 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 128K |
| Max output | 66K | 4K |
| Input $ / M tokens | $1.25 | $0.07 |
| Output $ / M tokens | $10 | $0.14 |
| Results tracked | 78 | 37 |
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Category by category
Coding Gemini 2.5 Pro leads
Gemini 2.5 Pro: 42.4 (#101), Phi-4: 34.4 (#239)
| Benchmark | Gemini 2.5 Pro | Phi-4 |
|---|---|---|
| LiveBench Coding | 85.9% | 30.7% |
| LMArena Coding | 1452 | 1231 |
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| LMArena WebDev | 1227 | — |
| SciCode | 42.8% | — |
| GSO | 3.9% | — |
| WeirdML | 54% | — |
| BigCodeBench Instruct | — | 45.5% |
| BigCodeBench Complete | — | 55.4% |
| CadEval | 64% | — |
| ALE-Bench | 785.52 | — |
| AlgoTune | 1.51 | — |
Agentic & Tool Use Gemini 2.5 Pro leads
Gemini 2.5 Pro: 29.2 (#88), Phi-4: 22.8 (#128)
| Benchmark | Gemini 2.5 Pro | Phi-4 |
|---|---|---|
| BALROG | 43.3% | 11.6% |
| Terminal-Bench | 32.6% | — |
| Berkeley Function Calling Leaderboard | — | 28.8% |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 55.4% | — |
| Vending-Bench 2 | 573.64 | — |
Reasoning Gemini 2.5 Pro leads
Gemini 2.5 Pro: 28.8 (#99), Phi-4: 17.7 (#291)
| Benchmark | Gemini 2.5 Pro | Phi-4 |
|---|---|---|
| Chess Puzzles | 20% | 1% |
| LiveBench Reasoning | 89.8% | 47.8% |
| LMArena Hard Prompts | 1455 | 1220 |
| LiveBench Data Analysis | 79.9% | 45.2% |
| Epoch Capabilities Index | 145.32 | 130.42 |
| LiveBench | 82.3% | 41.6% |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| Kagi LLM Benchmark | 70.3% | — |
| ARC-AGI-1 | 41% | — |
| CritPt | 2% | — |
| EnigmaEval | 5.6% | — |
| DTBench | 82.4% | — |
| LMCA | 34.8% | — |
| ForecastBench | 61.3 | — |
Math Gemini 2.5 Pro leads
Gemini 2.5 Pro: 32.5 (#213), Phi-4: 20.8 (#285)
| Benchmark | Gemini 2.5 Pro | Phi-4 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 84.7% | 13.8% |
| LiveBench Math | 90.2% | 42% |
| LMArena Math | 1450 | 1246 |
| MATH Level 5 | 95.9% | 64.9% |
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| Omni-MATH | 41.6% | — |
| FrontierMath (Feb 2025 set) | 14.1% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Pro leads
Gemini 2.5 Pro: 56.0 (#46), Phi-4: 32.6 (#209)
| Benchmark | Gemini 2.5 Pro | Phi-4 |
|---|---|---|
| GPQA Diamond | 85.3% | 56.1% |
| Confabulations | 10.6% | 29.4% |
| Vectara Hallucination Rate | 7% | 3.7% |
| LMArena Expert | 1452 | 1203 |
| Humanity's Last Exam | 21.6% | — |
| MMLU-Pro | 86.3% | — |
| GPQA (HELM) | 74.9% | — |
| MMLU | — | 84.8% |
Multimodal Not comparable
Gemini 2.5 Pro: 45.2 (#18), Phi-4: —
| Benchmark | Gemini 2.5 Pro | Phi-4 |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Gemini 2.5 Pro leads
Gemini 2.5 Pro: 55.3 (#31), Phi-4: 37.2 (#237)
| Benchmark | Gemini 2.5 Pro | Phi-4 |
|---|---|---|
| LMArena Non-English | 1451 | 1197 |
| LMArena Chinese | 1507 | 1212 |
| LMArena French | 1472 | 1224 |
| LMArena German | 1487 | 1222 |
| LMArena Japanese | 1461 | 1158 |
| LMArena Korean | 1434 | 1151 |
| LMArena Russian | 1461 | 1209 |
| LMArena Spanish | 1473 | 1234 |
Instruction Following Gemini 2.5 Pro leads
Gemini 2.5 Pro: 75.0 (#75), Phi-4: 60.4 (#251)
| Benchmark | Gemini 2.5 Pro | Phi-4 |
|---|---|---|
| LiveBench Instruction Following | 80.6% | 58.4% |
| LMArena Instruction Following | 1437 | 1201 |
| IFEval | 84% | — |
Long Context Gemini 2.5 Pro leads
Gemini 2.5 Pro: 59.8 (#5), Phi-4: 36.9 (#226)
| Benchmark | Gemini 2.5 Pro | Phi-4 |
|---|---|---|
| LMArena Longer Query | 1449 | 1217 |
| Fiction.LiveBench | 91.7% | — |
Writing & Preference Gemini 2.5 Pro leads
Gemini 2.5 Pro: 63.7 (#62), Phi-4: 40.5 (#244)
| Benchmark | Gemini 2.5 Pro | Phi-4 |
|---|---|---|
| LMArena Text | 1458 | 1217 |
| LMArena Creative Writing | 1454 | 1182 |
| Short-Story Creative Writing | 83.8% | 62.6% |
| LMArena Multi-Turn | 1453 | 1206 |
| LiveBench Language | 67.8% | 25.6% |
| EQ-Bench Creative Writing | 1421 | — |
| WildBench | 85.7% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than Phi-4?
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 31.2 on the Noometry Index. Phi-4 costs 39× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Pro or Phi-4?
Phi-4 is cheaper. It lists at $0.07 per million input tokens and $0.14 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.
Is Gemini 2.5 Pro or Phi-4 better for coding?
Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Pro does, with 1.05M tokens against 128K.
How many benchmarks do Gemini 2.5 Pro and Phi-4 share?
33 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Phi-4 has 37.