OpenAI o1-mini is 12% cheaper than Gemini 1.5 Pro on blended 3:1 token pricing. Gemini 1.5 Pro costs $1.25/1M in and $5.00/1M out, while OpenAI o1-mini costs $1.10/1M in and $4.40/1M out.
Gemini 1.5 Pro vs OpenAI o1-mini
Compare verified input/output token rates, prompt caching discounts, latency tiers, and context limits between Google and OpenAI.
| Metric / Feature | Gemini 1.5 Pro (Google) | OpenAI o1-mini (OpenAI) |
|---|---|---|
| Input Price ($ / 1M Tokens) | $1.25 | $1.10 |
| Output Price ($ / 1M Tokens) | $5.00 | $4.40 |
| Prompt Caching Input Rate | $0.312/1M | $0.550/1M |
| Blended 3:1 Rate (Production) | $2.188 / 1M | $1.925 / 1M |
| Max Context Window | 128k | 128k |
| Multimodal Vision | ✅ Supported | ❌ Text Only |
| MMLU Benchmark | 85.9% | 85.2% |
| Throughput & Latency | Standard (~35 t/s) | Fast Reasoning (~55 t/s) |
| Best For | Massive codebase analysis, hours of video comprehension, full book translation | STEM problem solving, code generation, algorithmic optimization |
When to Choose Gemini 1.5 Pro
Choose Gemini 1.5 Pro if your workload requires massive codebase analysis, hours of video comprehension, full book translation. Ideal for teams needing Google's infrastructure and ecosystem tooling.
When to Choose OpenAI o1-mini
Choose OpenAI o1-mini if your primary objective is stem problem solving, code generation, algorithmic optimization. Ideal for scaling high-throughput pipelines with OpenAI.
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