ModelRefs / GPT-4o vs Gemini 3 Pro
GPT-4o vs Gemini 3 Pro
GPT-4o 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.
GPT-4o: GPT-4o is OpenAI's May 2024 multimodal flagship, accepting text and image input across a 128,000-token context window with a 16,384-token maximum output and an October 2023 knowledge cutoff. OpenAI describes it as its most capable model outside the o-series reasoning line, and serves it through dated snapshots with gpt-4o-2024-08-06 as the default. The family is now deprecated on two schedules: gpt-4o-2024-08-06 and gpt-4o-2024-11-20 shut down on 14 January 2027 with gpt-6-luna as the replacement, and the original gpt-4o-2024-05-13 snapshot on 23 October 2026 with gpt-5.6-sol.
Context window: Gemini 3 Pro accepts up to 2,000,000 tokens, GPT-4o up to 128,000. Confirm the limit for your specific deployment channel before relying on it.
Gemini 3 Pro vs GPT-4o at a glance
| Attribute | Gemini 3 Pro | GPT-4o |
|---|---|---|
| Provider | OpenAI | |
| Released | 2025-11-18 | 2024-05-13 |
| Context window | 2,000,000 tokens | 128,000 tokens |
| Input price | $1.25/M tokens | $2.5/M tokens |
| Output price | $10/M tokens | $10/M tokens |
| Licence | Proprietary | Proprietary |
| Self-hostable | No, hosted only | No, hosted only |
| Modalities | text, vision, audio, video | text, vision, audio |
Benchmarks reported for both
| Benchmark | Gemini 3 Pro | GPT-4o | Reported |
|---|---|---|---|
| GPQA Diamond (accuracy) | 91.9 | 49.9 | 2025-11-18 / 2024-11-21 |
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 | GPT-4o | Reported |
|---|---|---|---|
| SimpleQA | 72.1 (SimpleQA Verified, correct) | 39 (correct) | 2025-11-18 / 2024-11-21 |
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%, GPT-4o 39%. Gemini 3 Pro leads on this dimension.
- Reasoning: Gemini 3 Pro 56%, GPT-4o 61%. GPT-4o leads on this dimension.
- Cost Efficiency: Gemini 3 Pro 47%, GPT-4o 46%. Gemini 3 Pro 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 GPT-4o vs Gemini 3 Pro.
Frequently asked questions
Which is better, GPT-4o or Gemini 3 Pro?
GPT-4o and Gemini 3 Pro target different workloads — see the benchmark and pricing tables for a side-by-side answer.
Is GPT-4o cheaper than Gemini 3 Pro?
Compare $0.00250 vs $0.00125 on this page.