Gemma 2 27B vs o1-pro

    Comparison

    As of August 20, 2026, Gemma 2 27B is 100% cheaper per million tokens than o1-pro. Gemma 2 27B is $0.65 / $0.65 per million input/output tokens versus o1-pro at $150.00 / $600.00. Sources: https://ai.google.dev/gemini-api/docs/pricing and https://developers.openai.com/api/docs/pricing

    Sources: Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing); OpenAI API pricing (https://developers.openai.com/api/docs/pricing)

    Better value

    Gemma 2 27B

    Google

    $1.30blended / 1M

    Input

    $0.65

    Output

    $0.65

    8.2K ctx|Open Source
    100%
    cheaper

    o1-pro

    OpenAI

    $750.00blended / 1M

    Input

    $150.00

    Output

    $600.00

    200K ctx|Proprietary
    Save $748.70 per million tokens by choosing Gemma 2 27B over o1-pro.

    Gemma 2 27B vs o1-pro comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    Gemma 2 27B
    o1-pro
    Provider
    Provider
    Google
    OpenAI
    License
    Open Source
    Proprietary
    Release Date
    2024-06-27
    2024-12-17
    Pricing (per 1M tokens)
    Input Price-100%
    $0.65
    $150.00
    Output Price-100%
    $0.65
    $600.00
    Blended (1M + 1M)
    $1.30
    $750.00
    Model Details
    Context Window
    8.2K
    200K
    Max Output Tokens
    N/A
    100K
    Knowledge Cutoff
    N/A
    2023-09-30
    Throughput
    N/A
    N/A
    Benchmarks
    8.1%
    79%
    36.5%
    1.4%
    86%
    75.2%
    86.4%
    51.8%
    42.3%
    55.1%
    71.4%
    88.6%
    74.9%
    84.8%
    74%
    38.2%
    62.6%
    83.2%
    53.7%
    83.7%
    83.7%

    Verdict

    Gemma 2 27B vs o1-pro: the bottom line

    Both models are closely matched on benchmarks. Gemma 2 27B has the pricing advantage, making it the better value unless o1-pro's specific capabilities are critical to your workflow.

    Gemma 2 27B vs o1-pro FAQ

    Which is cheaper, Gemma 2 27B or o1-pro?

    As of August 20, 2026, Gemma 2 27B is 100% cheaper on blended LLM API pricing. Gemma 2 27B costs $0.65 per million input tokens and $0.65 per million output tokens ($1.30 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 Gemma 2 27B vs o1-pro cost per million tokens?

    Gemma 2 27B Gemini API pricing is $0.65 input and $0.65 output per million tokens via OpenRouter. 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, Gemma 2 27B or o1-pro?

    Gemma 2 27B has a published HumanEval score of 51.8%. o1-pro does not have that eval on this page yet.

    What is the context window for Gemma 2 27B vs o1-pro?

    Gemma 2 27B supports a 8K token context window, while o1-pro supports 200K tokens. o1-pro 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, Gemma 2 27B or o1-pro?

    Shared benchmark scores for Gemma 2 27B and o1-pro are still limited. Check the comparison table for the evals each model has published. 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 Gemma 2 27B or o1-pro better for production use?

    Both Gemma 2 27B and o1-pro are production API models. For cost-sensitive production traffic, Gemma 2 27B 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 Gemma 2 27B and o1-pro in my app?

    Yes. Call Gemma 2 27B through OpenRouter 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 Gemma 2 27B 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 Gemma 2 27B and o1-pro?

    Gemma 2 27B supports up to an unspecified number of 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, Gemma 2 27B or o1-pro?

    Neither Gemma 2 27B nor o1-pro has published throughput data on this page yet. 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 Gemma 2 27B 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 Gemma 2 27B 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.

    Gemma 2 27B vs o1-pro pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Gemma 2 27B costs $0.65/M input and $0.65/M output via OpenRouter. o1-pro costs $150.00/M input and $600.00/M output.

    Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.

    The index

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