Which is cheaper, Gemini 2.5 Pro Preview 06-05 or o1-pro?
As of August 20, 2026, Gemini 2.5 Pro Preview 06-05 is 99% cheaper on blended LLM API pricing. Gemini 2.5 Pro Preview 06-05 costs $1.25 per million input tokens and $10.00 per million output tokens ($11.25 blended 1M-in + 1M-out). o1-pro costs $150.00 / $600.00 per million tokens ($750.00 blended). Sources: https://ai.google.dev/gemini-api/docs/pricing and https://developers.openai.com/api/docs/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Gemini 2.5 Pro Preview 06-05 vs o1-pro cost per million tokens?
Gemini 2.5 Pro Preview 06-05 Gemini API pricing is $1.25 input and $10.00 output per million tokens via Google. o1-pro OpenAI API pricing is $150.00 input and $600.00 output per million tokens via OpenAI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, Gemini 2.5 Pro Preview 06-05 or o1-pro?
Gemini 2.5 Pro Preview 06-05 has a published SWE-bench Verified score of 67.2%. o1-pro does not have that eval on this page yet.
What is the context window for Gemini 2.5 Pro Preview 06-05 vs o1-pro?
Gemini 2.5 Pro Preview 06-05 supports a 1M token context window, while o1-pro supports 200K tokens. Gemini 2.5 Pro Preview 06-05 offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Which model performs better on benchmarks, Gemini 2.5 Pro Preview 06-05 or o1-pro?
Gemini 2.5 Pro Preview 06-05 leads on 3 of 3 shared benchmarks versus o1-pro's 0 wins. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Is Gemini 2.5 Pro Preview 06-05 or o1-pro better for production use?
Both Gemini 2.5 Pro Preview 06-05 and o1-pro are production API models. For cost-sensitive production traffic, Gemini 2.5 Pro Preview 06-05 has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Can I switch between Gemini 2.5 Pro Preview 06-05 and o1-pro in my app?
Yes. Call Gemini 2.5 Pro Preview 06-05 through Google and o1-pro through OpenAI with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
How accurate is this Gemini 2.5 Pro Preview 06-05 vs o1-pro pricing data?
List rates are the latest published Gemini API pricing and OpenAI API pricing, quoted per million tokens. Official rate sheets: https://ai.google.dev/gemini-api/docs/pricing and https://developers.openai.com/api/docs/pricing. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
What is the output token limit for Gemini 2.5 Pro Preview 06-05 and o1-pro?
Gemini 2.5 Pro Preview 06-05 supports up to 66K output tokens per request, while o1-pro supports up to 100K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Which model has better throughput, Gemini 2.5 Pro Preview 06-05 or o1-pro?
Gemini 2.5 Pro Preview 06-05 has a measured throughput of approximately 85 tokens/second. Throughput data for o1-pro is not yet available. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
How do I switch the models in this Gemini 2.5 Pro Preview 06-05 vs o1-pro comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Gemini 2.5 Pro Preview 06-05 or o1-pro from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
