MiniMax M1 80K vs Mistral Medium 3.5

    Comparison

    As of August 25, 2026, MiniMax M1 80K is 69% cheaper per million tokens than Mistral Medium 3.5. MiniMax M1 80K is $0.55 / $2.20 per million input/output tokens versus Mistral Medium 3.5 at $1.50 / $7.50. Sources: https://anotherwrapper.com/tools/llm-pricing and https://docs.mistral.ai/platform/pricing/

    Sources: AnotherWrapper LLM pricing (https://anotherwrapper.com/tools/llm-pricing); Mistral AI pricing (https://docs.mistral.ai/platform/pricing/)

    Better value

    MiniMax M1 80K

    MiniMax

    $2.75blended / 1M

    Input

    $0.55

    Output

    $2.20

    1M ctx|Open Source
    69%
    cheaper

    Mistral Medium 3.5

    Mistral

    $9.00blended / 1M

    Input

    $1.50

    Output

    $7.50

    256K ctx|Open Source
    Save $6.25 per million tokens by choosing MiniMax M1 80K over Mistral Medium 3.5.

    MiniMax M1 80K vs Mistral Medium 3.5 comparison

    Token pricing, specs, and benchmarks side by side

    Shared benchmarks

    Each bar is share of the current leader on that eval. Click a row to open the board.

    MiniMax M1 80KMistral Medium 3.5

    Score vs price

    SWE-bench Verified. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.

    Best score at each priceMiniMax M1 80KMistral Medium 3.5
    Metric
    MiniMax M1 80K
    Mistral Medium 3.5
    Provider
    Provider
    MiniMax
    Mistral
    License
    Open Source
    Open Source
    Release Date
    2025-06-16
    2026-04-29
    Pricing (per 1M tokens)
    Input Price-63%
    $0.55
    $1.50
    Output Price-71%
    $2.20
    $7.50
    Blended (1M + 1M)
    $2.75
    $9.00
    Model Details
    Context Window
    1M
    256K
    Max Output Tokens
    40K
    256K
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    N/A
    1 tok/s
    Benchmarks
    8.4%
    70%
    34.9%
    39.6%
    48.6%
    18.5%
    69%
    76.9%
    86.3%
    86%
    96.8%
    66.9%
    95.8%
    58.8%
    0%
    11.2%
    61.5%
    33.8%
    67.7%
    81.1%
    75.3%
    37.6%
    13.4%
    76.1%
    91.4%
    68.0%
    86.8%
    Benchmark Wins
    MiniMax M1 80K 1|2 Mistral Medium 3.5

    Verdict

    MiniMax M1 80K vs Mistral Medium 3.5: the bottom line

    MiniMax M1 80K offers significantly lower pricing, while Mistral Medium 3.5 leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    MiniMax M1 80K vs Mistral Medium 3.5 FAQ

    Which is cheaper, MiniMax M1 80K or Mistral Medium 3.5?

    As of August 25, 2026, MiniMax M1 80K is 69% cheaper on blended LLM API pricing. MiniMax M1 80K costs $0.55 per million input tokens and $2.20 per million output tokens ($2.75 blended 1M-in + 1M-out). Mistral Medium 3.5 costs $1.50 / $7.50 per million tokens ($9.00 blended). Sources: https://anotherwrapper.com/tools/llm-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 MiniMax M1 80K vs Mistral Medium 3.5 cost per million tokens?

    MiniMax M1 80K MiniMax API pricing is $0.55 input and $2.20 output per million tokens via MiniMax. Mistral Medium 3.5 Mistral API pricing is $1.50 input and $7.50 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, MiniMax M1 80K or Mistral Medium 3.5?

    Mistral Medium 3.5 leads on SWE-bench Verified: MiniMax M1 80K at 56% vs Mistral Medium 3.5 at 77.6%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.

    What is the context window for MiniMax M1 80K vs Mistral Medium 3.5?

    MiniMax M1 80K supports a 1M token context window, while Mistral Medium 3.5 supports 256K tokens. MiniMax M1 80K 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, MiniMax M1 80K or Mistral Medium 3.5?

    Mistral Medium 3.5 leads on 2 of 3 shared benchmarks versus MiniMax M1 80K's 1 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 MiniMax M1 80K or Mistral Medium 3.5 better for production use?

    Both MiniMax M1 80K and Mistral Medium 3.5 are production API models. For cost-sensitive production traffic, MiniMax M1 80K 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 MiniMax M1 80K and Mistral Medium 3.5 in my app?

    Yes. Call MiniMax M1 80K through MiniMax and Mistral Medium 3.5 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 MiniMax M1 80K vs Mistral Medium 3.5 pricing data?

    List rates are the latest published MiniMax API pricing and Mistral API pricing, quoted per million tokens. Official rate sheets: https://anotherwrapper.com/tools/llm-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 MiniMax M1 80K and Mistral Medium 3.5?

    MiniMax M1 80K supports up to 40K output tokens per request, while Mistral Medium 3.5 supports up to 256K 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, MiniMax M1 80K or Mistral Medium 3.5?

    Mistral Medium 3.5 has a measured throughput of approximately 1 tokens/second. Throughput data for MiniMax M1 80K 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 MiniMax M1 80K vs Mistral Medium 3.5 comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open MiniMax M1 80K or Mistral Medium 3.5 from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    MiniMax M1 80K vs Mistral Medium 3.5 pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. MiniMax M1 80K costs $0.55/M input and $2.20/M output. Mistral Medium 3.5 costs $1.50/M input and $7.50/M output via Mistral AI.

    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.