Gemini 2.5 Flash vs o1
2026 - Pricing, benchmarks, and use case comparison
Quick take
- •Gemini 2.5 Flash is 100% cheaper on input tokens - better for high-volume workloads.
- •Gemini 2.5 Flash has a 1M context window - 5x larger than o1's 200K. Better for long documents and large codebases.
Specs comparison
| Gemini 2.5 Flash | o1 | |
|---|---|---|
| Provider | Google DeepMind | OpenAI |
| Type | Closed source | Closed source |
| Context window | ✓1M | 200K |
| Input / 1M tokens | ✓$0.075 | $15.00 |
| Output / 1M tokens | $0.30 | $60.00 |
| Release date | 2025-05 | 2024-09 |
Benchmarks
| Benchmark | Gemini 2.5 Flash | o1 |
|---|---|---|
| MMLU | ~89% | - |
| HumanEval | ~85% | 92.4% |
| GPQA Diamond | - | 78.3% |
| SWE-bench Verified | - | 48.9% |
Scores sourced from official provider release posts.
Strengths
Gemini 2.5 Flash
- ✓Exceptional price-to-performance ratio
- ✓1M context at near-commodity pricing
- ✓Multimodal support at low cost
- ✓Fast inference latency
- ✓Strong summarization and classification
o1
- ✓Best-in-class math and physics
- ✓Strong competitive coding (Codeforces, HumanEval)
- ✓Scientific reasoning (GPQA top performer)
- ✓Multi-step logic and planning
- ✓200K context for long technical documents
Which should you choose?
Choose Gemini 2.5 Flash if you need...
- →High-volume, long-context tasks
- →Cost-sensitive production workloads
- →Document and media summarization
- →Retrieval-augmented pipelines
Choose o1 if you need...
- →Math and science problems
- →Competitive programming
- →Complex multi-step reasoning
- →Research assistance