Gemini 2.5 Pro vs Phi-3 Mini 4k
Gemini 2.5 Pro (2025) and Phi-3 Mini 4k (2024) are compact production models from Google DeepMind and Microsoft Research. Gemini 2.5 Pro ships a 1M-token context window, while Phi-3 Mini 4k ships a 4K-token context window. On MMLU PRO, Gemini 2.5 Pro leads by 40.5 pts. On pricing, Phi-3 Mini 4k costs $0.05/1M input tokens versus $1.25/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Phi-3 Mini 4k is ~2400% cheaper at $0.05/1M; pay for Gemini 2.5 Pro only for coding workflow support.
Specs
| Released | 2025-06-17 | 2024-04-23 |
| Context window | 1M | 4K |
| Parameters | — | 3.8B |
| Architecture | decoder only | decoder only |
| License | Proprietary | Open Source |
| Knowledge cutoff | 2025-01 | - |
Pricing and availability
| Gemini 2.5 Pro | Phi-3 Mini 4k | |
|---|---|---|
| Input price | $1.25/1M tokens | $0.05/1M tokens |
| Output price | $10/1M tokens | $0.25/1M tokens |
| Providers |
Capabilities
| Gemini 2.5 Pro | Phi-3 Mini 4k | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | Gemini 2.5 Pro | Phi-3 Mini 4k |
|---|---|---|
| MMLU PRO | 86.2 | 45.7 |
| Google-Proof Q&A | 86.4 | 40.9 |
| HumanEval | 93.1 | 59.8 |
Deep dive
On shared benchmark coverage, MMLU PRO has Gemini 2.5 Pro at 86.2 and Phi-3 Mini 4k at 45.7, with Gemini 2.5 Pro ahead by 40.5 points; Google-Proof Q&A has Gemini 2.5 Pro at 86.4 and Phi-3 Mini 4k at 40.9, with Gemini 2.5 Pro ahead by 45.5 points; HumanEval has Gemini 2.5 Pro at 93.1 and Phi-3 Mini 4k at 59.8, with Gemini 2.5 Pro ahead by 33.3 points. The largest visible gap is 45.5 points on Google-Proof Q&A, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on vision: Gemini 2.5 Pro, multimodal input: Gemini 2.5 Pro, function calling: Gemini 2.5 Pro, tool use: Gemini 2.5 Pro, structured outputs: Gemini 2.5 Pro, and code execution: Gemini 2.5 Pro. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Gemini 2.5 Pro lists $1.25/1M input and $10/1M output tokens, while Phi-3 Mini 4k lists $0.05/1M input and $0.25/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Phi-3 Mini 4k lower by about $3.77 per million blended tokens. Availability is 3 providers versus 4, so concentration risk also matters.
Choose Gemini 2.5 Pro when coding workflow support and larger context windows are central to the workload. Choose Phi-3 Mini 4k when provider fit, lower input-token cost, and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Gemini 2.5 Pro or Phi-3 Mini 4k?
Gemini 2.5 Pro supports 1M tokens, while Phi-3 Mini 4k supports 4K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Gemini 2.5 Pro or Phi-3 Mini 4k?
Phi-3 Mini 4k is cheaper on tracked token pricing. Gemini 2.5 Pro costs $1.25/1M input and $10/1M output tokens. Phi-3 Mini 4k costs $0.05/1M input and $0.25/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemini 2.5 Pro or Phi-3 Mini 4k open source?
Gemini 2.5 Pro is listed under Proprietary. Phi-3 Mini 4k is listed under Open Source. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Gemini 2.5 Pro or Phi-3 Mini 4k?
Gemini 2.5 Pro has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Gemini 2.5 Pro or Phi-3 Mini 4k?
Gemini 2.5 Pro has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Gemini 2.5 Pro and Phi-3 Mini 4k?
Gemini 2.5 Pro is available on Google AI Studio, GCP Vertex AI, and OpenRouter. Phi-3 Mini 4k is available on Microsoft Foundry, NVIDIA NIM, Baseten API, and Replicate API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.