Gemini 2.5 Pro vs o1
Pricing, benchmarks, and use case comparison
Quick take
- •Gemini 2.5 Pro is meaningfully stronger at speed (65 vs 30 on our capability index).
- •Gemini 2.5 Pro is 92% cheaper on input tokens, which compounds fast on high-volume or agentic workloads.
- •o1 has a 200,000 tokens (100,000 max output) context window vs 1,048,576 tokens (1M) input; up to 65K output - better for whole-repo or long-document work.
Specs comparison
| Gemini 2.5 Pro | o1 | |
|---|---|---|
| Provider | Google DeepMind | OpenAI |
| Type | Closed source | Closed source |
| Context window | 1,048,576 tokens (1M) input; up to 65K output | ✓200,000 tokens (100,000 max output) |
| Input / 1M tokens | ✓$1.25 | $15.00 |
| Output / 1M tokens | $10.00 | $60.00 |
| Release date | 2025-06 | 2024-12 |
Benchmarks
| Benchmark | Gemini 2.5 Pro | o1 |
|---|---|---|
| Context window | 1M tokens | - |
| Pricing tier break | 200K tokens | - |
| AIME 2024 | - | 74% |
| GPQA Diamond | - | 77.3% |
| Codeforces | - | ~89th percentile |
Scores sourced from official provider release posts and independent benchmark aggregators.
Which should you choose?
Choose Gemini 2.5 Pro if...
- →Complex reasoning, analysis, or STEM tasks that benefit from a thinking model
- →Processing very long inputs (long documents, large repos)
- →Multimodal tasks needing high quality
Choose o1 if...
- →Hard, multi-step math, science, and logic problems that reward deliberate reasoning
- →Competitive programming and algorithmic problem solving
- →Existing o1-based pipelines already validated for reasoning tasks