Gemini 2.5 Pro vs Phi-3 Mini 4k

Name: Gemini 2.5 Pro
Author: Google DeepMind

Gemini 2.5 Pro (2025) and Phi-3 Mini 4k (2024) are frontier reasoning 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. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Gemini 2.5 Pro fits 250x more tokens; pick it for long-context work and Phi-3 Mini 4k for tighter calls.

Decision scorecard

Local evidence first

Signal	Gemini 2.5 Pro	Phi-3 Mini 4k	How to read it
Best for	reasoning-heavy apps, multimodal apps, and tool-calling agents	provider-routed production	Use-case synthesis from product type, capability flags, context, and provider data.
Decision fit	Coding, RAG, and Agents	Coding and Classification	Primary workload tags from local decision data.
Context window	1m	4k	Higher is better when prompts, retrieval chunks, or transcripts are large.
Cheapest output	$10/1M tokens	$0.25/1M tokens	Cheapest tracked provider route; verify your exact region and tier.
Provider routes	4 tracked	4 tracked	Broader coverage can reduce vendor lock-in and fallback risk.
Shared benchmarks	MMLU PRO leader	3 shared	Visible benchmark lead is 40.5 points on MMLU PRO.

Decision tradeoffs

Choose Gemini 2.5 Pro when...

Gemini 2.5 Pro holds a shared-benchmark lead on MMLU PRO, ahead by 40.5 points.
Gemini 2.5 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
Gemini 2.5 Pro uniquely exposes Vision, Multimodal, and Reasoning in local model data.
Local decision data tags Gemini 2.5 Pro for Coding, RAG, and Agents.

Choose Phi-3 Mini 4k when...

Phi-3 Mini 4k has the lower cheapest tracked output price at $0.25/1M tokens.
Local decision data tags Phi-3 Mini 4k for Coding and Classification.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Phi-3 Mini 4k

Requests / monthInput tokens / requestOutput tokens / request

Gemini 2.5 Pro

$3,500

Cheapest tracked route/tier: Google AI Studio <=200K tokens

Phi-3 Mini 4k

$103

Cheapest tracked route/tier: Replicate API

Estimated monthly gap: $3,398. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemini 2.5 Pro -> Phi-3 Mini 4k

No overlapping tracked provider route is sourced for Gemini 2.5 Pro and Phi-3 Mini 4k; plan for SDK, billing, or endpoint changes.
Phi-3 Mini 4k is $9.75/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.

Phi-3 Mini 4k -> Gemini 2.5 Pro

No overlapping tracked provider route is sourced for Phi-3 Mini 4k and Gemini 2.5 Pro; plan for SDK, billing, or endpoint changes.
Gemini 2.5 Pro is $9.75/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Gemini 2.5 Pro adds Vision, Multimodal, and Reasoning in local capability data.

Specs

Specification	Gemini 2.5 Pro Google DeepMind	Phi-3 Mini 4k Microsoft Research
Released	2025-06-17	2024-04-23
Context window	1m	4k
Parameters	—	3.8B
Architecture	Decoder Only	Decoder Only
License	Proprietary	MITOSI-approved
Openness	Proprietary	Open source
Weights	Not released	Unknown
Code	Unknown	Unknown
Commercial use	Commercial use: conditional	Commercial use: permitted
Knowledge cutoff	2025-01	2023-10

Pricing and availability

Pricing attribute	Gemini 2.5 Pro	Phi-3 Mini 4k
Input price	<=200K tokens $1.25/1M tokens Standard Gemini 2.5 Pro pricing for prompts up to 200K tokens. >200K tokens $2.50/1M tokens Higher Gemini 2.5 Pro tier for prompts above 200K tokens.	$0.05/1M tokens
Output price	<=200K tokens $10/1M tokens Standard Gemini 2.5 Pro pricing for prompts up to 200K tokens. >200K tokens $15/1M tokens Higher Gemini 2.5 Pro tier for prompts above 200K tokens.	$0.25/1M tokens
Providers	Google AI Studio GCP Vertex AI OpenRouter Vercel AI Gateway	Microsoft Foundry NVIDIA NIM Baseten API Replicate API

Capabilities

Capability	Gemini 2.5 Pro	Phi-3 Mini 4k
Vision	Yes	No
Multimodal	Yes	No
Reasoning	Yes	No
JSON / Tool use	Yes	No
Structured outputs	Yes	No
Code execution	Yes	No
IDE integration	No	No
Computer use	No	No
Parallel agents	No	No

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

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Model pages

Labs and families

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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.

Both models

Gemini 2.5 Pro Phi-3 Mini 4k