ModelRefs / Phi-4 vs Gemini 3 Pro
Phi-4 vs Gemini 3 Pro
Phi-4 vs Gemini 3 Pro: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.
Overview
Gemini 3 Pro: Gemini 3 Pro is Google DeepMind's flagship multimodal model with a 2M-token context window spanning text, image, audio, and video inputs. It is built for long-context reasoning, document understanding, and multimodal agentic workflows.
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 3 Pro accepts up to 2,000,000 tokens, Phi-4 up to 16,384. Confirm the limit for your specific deployment channel before relying on it.
Gemini 3 Pro vs Phi-4 at a glance
| Attribute | Gemini 3 Pro | Phi-4 |
|---|---|---|
| Provider | Microsoft | |
| Released | 2025-11-18 | 2024-12-12 |
| Context window | 2,000,000 tokens | 16,384 tokens |
| Input price | $1.25/M tokens | Free / self-hosted |
| Output price | $10/M tokens | Free / self-hosted |
| Licence | Proprietary | MIT |
| Self-hostable | No, hosted only | Yes, open weights |
| Modalities | text, vision, audio, video | text |
Benchmarks reported for both
| Benchmark | Gemini 3 Pro | Phi-4 | Reported |
|---|---|---|---|
| GPQA Diamond (accuracy) | 91.9 | 56.1 | 2025-11-18 / 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.
Reported on different variants
Both models are measured on these benchmarks, but not on the same variant of them, so the two numbers are not a like-for-like comparison. Each side is shown with the variant it was measured on.
| Benchmark | Gemini 3 Pro | Phi-4 | Reported |
|---|---|---|---|
| SimpleQA | 72.1 (SimpleQA Verified, correct) | 3 (correct) | 2025-11-18 / 2024-12-12 |
A different task set or a different reported metric can move a score by more than the gap between two models. Use these as two separate findings, not as a ranking.
Where they differ most
- Hallucination Resistance: Gemini 3 Pro 72%, Phi-4 3%. Gemini 3 Pro leads on this dimension.
- Cost Efficiency: Gemini 3 Pro 47%, Phi-4 100%. Phi-4 leads on this dimension.
- Reasoning: Gemini 3 Pro 56%, Phi-4 61%. 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 3 Pro.
Frequently asked questions
Which is better, Phi-4 or Gemini 3 Pro?
Phi-4 and Gemini 3 Pro target different workloads — see the benchmark and pricing tables for a side-by-side answer.
Is Phi-4 cheaper than Gemini 3 Pro?
Compare $0.00000 vs $0.00125 on this page.