ModelRefs / Phi-4 vs Gemini 2.5 Flash
Phi-4 vs Gemini 2.5 Flash
Phi-4 vs Gemini 2.5 Flash: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.
Overview
Gemini 2.5 Flash: Gemini 2.5 Flash is Google DeepMind's price-performance model for low-latency, high-volume work that still needs reasoning, with thinking supported. It accepts text, image, audio and video input across a 1,048,576-token context window, returns up to 65,536 tokens, and carries a January 2025 knowledge cutoff. Google now limits access to existing users while keeping the model served.
Phi-4: Microsoft's 14B dense decoder-only open-weight text model, trained on 9.8T tokens with a synthetic-data-centered curriculum and available through the microsoft/phi-4 artifact and Microsoft Foundry.
Context window: Gemini 2.5 Flash accepts up to 1,000,000 tokens, Phi-4 up to 16,384. Confirm the limit for your specific deployment channel before relying on it.
Gemini 2.5 Flash vs Phi-4 at a glance
| Attribute | Gemini 2.5 Flash | Phi-4 |
|---|---|---|
| Provider | Microsoft | |
| Released | 2025-06-17 | 2024-12-12 |
| Context window | 1,000,000 tokens | 16,384 tokens |
| Input price | $0.075/M tokens | Free / self-hosted |
| Output price | $0.3/M tokens | Free / self-hosted |
| Licence | Proprietary | MIT |
| Self-hostable | No, hosted only | Yes, open weights |
| Modalities | text, vision, audio | text |
Benchmarks reported for both
| Benchmark | Gemini 2.5 Flash | Phi-4 | Reported |
|---|---|---|---|
| GPQA Diamond (accuracy) | 82.8 | 56.1 | 2024-12-12 |
Each row compares the same benchmark, the same reported metric, and the same task set. Scores are as published by their cited sources on the dates shown. Different runs still use different harnesses and prompts, so treat these as directional evidence rather than a head-to-head result.
Where they differ most
- Reasoning: Gemini 2.5 Flash 86%, Phi-4 61%. Gemini 2.5 Flash leads on this dimension.
- Cost Efficiency: Gemini 2.5 Flash 95%, Phi-4 100%. Phi-4 leads on this dimension.
Capability scores are ModelRefs' own derived signals, not vendor claims or benchmark results. Validate against your own workload before relying on them.
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Phi-4 vs Gemini 2.5 Flash.
Frequently asked questions
Which is better, Phi-4 or Gemini 2.5 Flash?
Phi-4 and Gemini 2.5 Flash target different workloads — see the benchmark and pricing tables for a side-by-side answer.
Is Phi-4 cheaper than Gemini 2.5 Flash?
Compare $0.00000 vs $0.00007 on this page.