Gemini 1.5 Pro vs Min istral 3 (3B Reasoning 2512)

    Comparison

    As of August 20, 2026, Min istral 3 (3B Reasoning 2512) is 98% cheaper per million tokens than Gemini 1.5 Pro. Gemini 1.5 Pro is $2.50 / $10.00 per million input/output tokens versus Min istral 3 (3B Reasoning 2512) at $0.10 / $0.10. Sources: https://ai.google.dev/gemini-api/docs/pricing and https://docs.mistral.ai/platform/pricing/

    Sources: Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing); Mistral AI pricing (https://docs.mistral.ai/platform/pricing/)

    Gemini 1.5 Pro

    Google

    $12.50blended / 1M

    Input

    $2.50

    Output

    $10.00

    2.1M ctx|Proprietary
    98%
    cheaper
    Better value

    Min istral 3 (3B Reasoning 2512)

    Mistral

    $0.20blended / 1M

    Input

    $0.10

    Output

    $0.10

    131.1K ctx|Open Source
    Save $12.30 per million tokens by choosing Min istral 3 (3B Reasoning 2512) over Gemini 1.5 Pro.

    Gemini 1.5 Pro vs Min istral 3 (3B Reasoning 2512) comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    Gemini 1.5 Pro
    Min istral 3 (3B Reasoning 2512)
    Provider
    Provider
    Google
    Mistral
    License
    Proprietary
    Open Source
    Release Date
    2024-05-01
    2025-12-04
    Pricing (per 1M tokens)
    Input Price+2400%
    $2.50
    $0.10
    Output Price+9900%
    $10.00
    $0.10
    Blended (1M + 1M)
    $12.50
    $0.20
    Model Details
    Context Window
    2.1M
    131.1K
    Max Output Tokens
    8.2K
    131.1K
    Knowledge Cutoff
    2023-11-01
    N/A
    Throughput
    85 tok/s
    1222 tok/s
    Benchmarks
    59.1%
    53.4%
    0.8%
    72.1%
    77.5%
    85.9%
    65.9%
    93.3%
    84.1%
    86.5%
    46.4%
    84%
    74.9%
    93.3%
    90.8%
    68.1%
    87.5%
    75.8%
    82.6%
    85.4%
    53.9%
    78.6%
    75%
    75.1%
    98.8%
    Benchmark Wins
    Gemini 1.5 Pro 1|0 Min istral 3 (3B Reasoning 2512)

    Verdict

    Gemini 1.5 Pro vs Min istral 3 (3B Reasoning 2512): the bottom line

    Min istral 3 (3B Reasoning 2512) offers significantly lower pricing, while Gemini 1.5 Pro leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    Gemini 1.5 Pro vs Min istral 3 (3B Reasoning 2512) FAQ

    Which is cheaper, Gemini 1.5 Pro or Min istral 3 (3B Reasoning 2512)?

    As of August 20, 2026, Min istral 3 (3B Reasoning 2512) is 98% cheaper on blended LLM API pricing. Min istral 3 (3B Reasoning 2512) costs $0.10 per million input tokens and $0.10 per million output tokens ($0.20 blended 1M-in + 1M-out). Gemini 1.5 Pro costs $2.50 / $10.00 per million tokens ($12.50 blended). Sources: https://ai.google.dev/gemini-api/docs/pricing and https://docs.mistral.ai/platform/pricing/. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Gemini 1.5 Pro vs Min istral 3 (3B Reasoning 2512) cost per million tokens?

    Gemini 1.5 Pro Gemini API pricing is $2.50 input and $10.00 output per million tokens via Google. Min istral 3 (3B Reasoning 2512) Mistral API pricing is $0.10 input and $0.10 output per million tokens via Mistral AI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, Gemini 1.5 Pro or Min istral 3 (3B Reasoning 2512)?

    Min istral 3 (3B Reasoning 2512) has a published LiveCodeBench score of 54.8%. Gemini 1.5 Pro does not have that eval on this page yet.

    What is the context window for Gemini 1.5 Pro vs Min istral 3 (3B Reasoning 2512)?

    Gemini 1.5 Pro supports a 2M token context window, while Min istral 3 (3B Reasoning 2512) supports 131K tokens. Gemini 1.5 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, Gemini 1.5 Pro or Min istral 3 (3B Reasoning 2512)?

    Gemini 1.5 Pro leads on 1 of 1 shared benchmarks versus Min istral 3 (3B Reasoning 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 Gemini 1.5 Pro or Min istral 3 (3B Reasoning 2512) better for production use?

    Both Gemini 1.5 Pro and Min istral 3 (3B Reasoning 2512) are production API models. For cost-sensitive production traffic, Min istral 3 (3B Reasoning 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 Gemini 1.5 Pro and Min istral 3 (3B Reasoning 2512) in my app?

    Yes. Call Gemini 1.5 Pro through Google and Min istral 3 (3B Reasoning 2512) through Mistral AI 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 1.5 Pro vs Min istral 3 (3B Reasoning 2512) pricing data?

    List rates are the latest published Gemini API pricing and Mistral API pricing, quoted per million tokens. Official rate sheets: https://ai.google.dev/gemini-api/docs/pricing and https://docs.mistral.ai/platform/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 1.5 Pro and Min istral 3 (3B Reasoning 2512)?

    Gemini 1.5 Pro supports up to 8K output tokens per request, while Min istral 3 (3B Reasoning 2512) supports up to 131K 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 1.5 Pro or Min istral 3 (3B Reasoning 2512)?

    Gemini 1.5 Pro runs at approximately 85 tokens/second while Min istral 3 (3B Reasoning 2512) runs at 1222 tokens/second. Min istral 3 (3B Reasoning 2512) is faster in raw throughput. 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 1.5 Pro vs Min istral 3 (3B Reasoning 2512) comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Gemini 1.5 Pro or Min istral 3 (3B Reasoning 2512) from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    Gemini 1.5 Pro vs Min istral 3 (3B Reasoning 2512) pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Gemini 1.5 Pro costs $2.50/M input and $10.00/M output. Min istral 3 (3B Reasoning 2512) costs $0.10/M input and $0.10/M output via Mistral AI.

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

    The index

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