Gemini 2.5 Pro vs o4
A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.
Updated
Gemini 2.5 Pro specs · o4 specs- PriceGemini 2.5 Pro
Gemini 2.5 Pro publishes pricing ($10.00 / 1M output tokens) while o4 does not.
- Context windowGemini 2.5 Pro
Gemini 2.5 Pro accepts 2.1M tokens vs 200K, 10.5× the room for long documents and codebases.
- BenchmarksTie
No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores.
- ModalitiesGemini 2.5 Pro
Gemini 2.5 Pro supports 4 modalities (text, vision, audio, video) vs 2 for o4.
- OpennessTie
Both are closed-weight, API-only.
On balance Gemini 2.5 Pro edges ahead, winning 3 of 5 categories against o4's 0. Gemini 2.5 Pro publishes pricing ($10.00 / 1M output tokens) while o4 does not. Gemini 2.5 Pro accepts 2.1M tokens vs 200K, 10.5× the room for long documents and codebases.
No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. They differ in modality coverage, Gemini 2.5 Pro handles text, vision, audio, video while o4 handles text, vision, which can be the deciding factor before you even look at benchmarks. Both are closed-weight, API-only.
o4 is the newer of the two, released 9 months after Gemini 2.5 Pro, which usually means a more recent knowledge cutoff and updated safety post-training. Gemini 2.5 Pro is usually picked for long context and rag workloads, while o4 sees more deployments in reasoning and math. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.
Side-by-side specs
| Spec | Gemini 2.5 Pro | o4 |
|---|---|---|
| Provider | OpenAI | |
| Released | Mar 2025 | Dec 2025 |
| Modalities | text, vision, audio, video | text, vision |
| Context window | 2.1M tokens | 200K tokens |
| Max output | , | , |
| Input · 1M | $1.25 / 1M tokens | Pricing not published |
| Output · 1M | $10.00 / 1M tokens | Pricing not published |
| Knowledge cutoff | 2025-01 | , |
| Open weights | No | No |
| API available | Yes | Yes |
Pricing at scale
What you'd actually pay at typical workloads. Numbers come from each model's published per-million-token rates.
- Light usage, 100k in / 50k out per day$18.75 vs ,
- Heavy usage, 1M in / 500k out per day$188 vs ,
- RAG workload, 5M in / 200k out per day$248 vs ,
Light usage, 100k in / 50k out per day: pricing not directly comparable (one or both models are missing public per-token rates). Heavy usage, 1M in / 500k out per day: pricing not directly comparable (one or both models are missing public per-token rates). RAG workload, 5M in / 200k out per day: pricing not directly comparable (one or both models are missing public per-token rates).
Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.
- Gemini 2.5 Pro$0.625
- o4Pricing unavailable
Benchmarks compared
Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.
- MMLU86.0
- GPQA84.0
Gemini 2.5 Pro fits when…
- 2M-token context window
- Strong on long-document tasks
- Native multimodal handling
- Long-context tasks, handles 2.1M tokens vs 200K for o4.
- Multimodal needs covering audio, video.
o4 fits when…
- Exceptional performance on hard math and reasoning benchmarks
- Good at multi-step planning and verification
- Strong scientific reasoning
Consider Gemini 3 Pro
Google's late-2025 flagship, set new benchmarks on long-context, vision, and reasoning at competitive pricing.
Frequently asked
Is Gemini 2.5 Pro or o4 cheaper?
Per-token pricing isn't published for at least one of these models, check each model's spec page for current rates.Which has the larger context window?
Gemini 2.5 Pro accepts 2.1M tokens vs 200K for o4.Is Gemini 2.5 Pro or o4 better for coding?
Both Gemini 2.5 Pro and o4 are competitive on coding benchmarks. See each model's individual spec page for HumanEval and SWE-bench scores where published. For an opinionated pick, consult our Best LLM for Coding ranking.Are either of these models open source?
Neither model ships open weights, both are accessible only via their respective providers' APIs.When were Gemini 2.5 Pro and o4 released?
Gemini 2.5 Pro was released by Google on 2025-03-25. o4 was released by OpenAI on 2025-12-15.
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