Mistral Large 3 (675B Instruct 2512) vs o1-pro

    Comparison

    As of August 20, 2026, Mistral Large 3 (675B Instruct 2512) is 100% cheaper per million tokens than o1-pro. Mistral Large 3 (675B Instruct 2512) is $0.50 / $1.50 per million input/output tokens versus o1-pro at $150.00 / $600.00. Sources: https://docs.mistral.ai/platform/pricing/ and https://developers.openai.com/api/docs/pricing

    Sources: Mistral AI pricing (https://docs.mistral.ai/platform/pricing/); OpenAI API pricing (https://developers.openai.com/api/docs/pricing)

    Better value

    Mistral Large 3 (675B Instruct 2512)

    Mistral

    $2.00blended / 1M

    Input

    $0.50

    Output

    $1.50

    262.1K ctx|Open Source
    100%
    cheaper

    o1-pro

    OpenAI

    $750.00blended / 1M

    Input

    $150.00

    Output

    $600.00

    200K ctx|Proprietary
    Save $748.00 per million tokens by choosing Mistral Large 3 (675B Instruct 2512) over o1-pro.

    Mistral Large 3 (675B Instruct 2512) vs o1-pro comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    Mistral Large 3 (675B Instruct 2512)
    o1-pro
    Provider
    Provider
    Mistral
    OpenAI
    License
    Open Source
    Proprietary
    Release Date
    2025-12-04
    2024-12-17
    Pricing (per 1M tokens)
    Input Price-100%
    $0.50
    $150.00
    Output Price-100%
    $1.50
    $600.00
    Blended (1M + 1M)
    $2.00
    $750.00
    Model Details
    Context Window
    262.1K
    200K
    Max Output Tokens
    262.1K
    100K
    Knowledge Cutoff
    N/A
    2023-09-30
    Throughput
    45.89 tok/s
    N/A
    Benchmarks
    8.1%
    43.9%
    79%
    23.8%
    85.5%
    86%
    Benchmark Wins
    Mistral Large 3 (675B Instruct 2512) 0|1 o1-pro

    Verdict

    Mistral Large 3 (675B Instruct 2512) vs o1-pro: the bottom line

    Mistral Large 3 (675B Instruct 2512) offers significantly lower pricing, while o1-pro leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    Mistral Large 3 (675B Instruct 2512) vs o1-pro FAQ

    Which is cheaper, Mistral Large 3 (675B Instruct 2512) or o1-pro?

    As of August 20, 2026, Mistral Large 3 (675B Instruct 2512) is 100% cheaper on blended LLM API pricing. Mistral Large 3 (675B Instruct 2512) costs $0.50 per million input tokens and $1.50 per million output tokens ($2.00 blended 1M-in + 1M-out). o1-pro costs $150.00 / $600.00 per million tokens ($750.00 blended). Sources: https://docs.mistral.ai/platform/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 Mistral Large 3 (675B Instruct 2512) vs o1-pro cost per million tokens?

    Mistral Large 3 (675B Instruct 2512) Mistral API pricing is $0.50 input and $1.50 output per million tokens via Mistral AI. 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, Mistral Large 3 (675B Instruct 2512) or o1-pro?

    Mistral Large 3 (675B Instruct 2512) has a published LiveCodeBench score of 34.4%. o1-pro does not have that eval on this page yet.

    What is the context window for Mistral Large 3 (675B Instruct 2512) vs o1-pro?

    Mistral Large 3 (675B Instruct 2512) supports a 262K token context window, while o1-pro supports 200K tokens. Mistral Large 3 (675B Instruct 2512) 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, Mistral Large 3 (675B Instruct 2512) or o1-pro?

    o1-pro leads on 1 of 1 shared benchmarks versus Mistral Large 3 (675B Instruct 2512)'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 Mistral Large 3 (675B Instruct 2512) or o1-pro better for production use?

    Both Mistral Large 3 (675B Instruct 2512) and o1-pro are production API models. For cost-sensitive production traffic, Mistral Large 3 (675B Instruct 2512) 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 Mistral Large 3 (675B Instruct 2512) and o1-pro in my app?

    Yes. Call Mistral Large 3 (675B Instruct 2512) through Mistral AI 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 Mistral Large 3 (675B Instruct 2512) vs o1-pro pricing data?

    List rates are the latest published Mistral API pricing and OpenAI API pricing, quoted per million tokens. Official rate sheets: https://docs.mistral.ai/platform/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 Mistral Large 3 (675B Instruct 2512) and o1-pro?

    Mistral Large 3 (675B Instruct 2512) supports up to 262K 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, Mistral Large 3 (675B Instruct 2512) or o1-pro?

    Mistral Large 3 (675B Instruct 2512) has a measured throughput of approximately 45.89 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 Mistral Large 3 (675B Instruct 2512) 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 Mistral Large 3 (675B Instruct 2512) 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.

    Mistral Large 3 (675B Instruct 2512) vs o1-pro pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Mistral Large 3 (675B Instruct 2512) costs $0.50/M input and $1.50/M output via Mistral AI. 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

    All Large Language Models

    280 models across 33 providers. Search or jump to a lab — every model page stays linked here.

    Baidu

    1 models

    Inception

    1 models

    inclusionAI

    1 models

    LG AI Research

    1 models

    Nous Research

    1 models

    Sakana AI

    1 models

    StepFun

    1 models

    Tencent

    1 models

    Thinking Machines

    1 models

    Unisound

    1 models

    Upstage

    1 models

    Next step

    You found the model. Now ship the product.

    Auth, billing, and the API layer are already decided. Fork 8 finished AI apps, or have us build the first version with you.