Llama 3.2 90B Instruct vs Mistral Medium 3.5

    Comparison

    As of August 25, 2026, Llama 3.2 90B Instruct is 92% cheaper per million tokens than Mistral Medium 3.5. Llama 3.2 90B Instruct is $0.35 / $0.40 per million input/output tokens versus Mistral Medium 3.5 at $1.50 / $7.50. Sources: https://llama.meta.com/ and https://docs.mistral.ai/platform/pricing/

    Sources: Meta pricing (https://llama.meta.com/); Mistral AI pricing (https://docs.mistral.ai/platform/pricing/)

    Better value

    Llama 3.2 90B Instruct

    Meta

    $0.75blended / 1M

    Input

    $0.35

    Output

    $0.40

    128K ctx|Open Source
    92%
    cheaper

    Mistral Medium 3.5

    Mistral

    $9.00blended / 1M

    Input

    $1.50

    Output

    $7.50

    256K ctx|Open Source
    Save $8.25 per million tokens by choosing Llama 3.2 90B Instruct over Mistral Medium 3.5.

    Llama 3.2 90B Instruct vs Mistral Medium 3.5 comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    Llama 3.2 90B Instruct
    Mistral Medium 3.5
    Provider
    Provider
    Meta
    Mistral
    License
    Open Source
    Open Source
    Release Date
    2024-09-25
    2026-04-29
    Pricing (per 1M tokens)
    Input Price-77%
    $0.35
    $1.50
    Output Price-95%
    $0.40
    $7.50
    Blended (1M + 1M)
    $0.75
    $9.00
    Model Details
    Context Window
    128K
    256K
    Max Output Tokens
    128K
    256K
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    24 tok/s
    1 tok/s
    Benchmarks
    46.7%
    34.9%
    39.6%
    48.6%
    69%
    45.2%
    86.3%
    86%
    60.3%
    68%
    92.3%
    66.9%
    85.5%
    95.8%
    58.8%
    0%
    90.1%
    11.2%
    57.3%
    33.8%
    67.7%
    86.9%
    75.3%
    37.6%
    13.4%
    76.1%
    91.4%
    68.0%
    73.5%
    78.1%

    Verdict

    Llama 3.2 90B Instruct vs Mistral Medium 3.5: the bottom line

    Both models are closely matched on benchmarks. Llama 3.2 90B Instruct has the pricing advantage, making it the better value unless Mistral Medium 3.5's specific capabilities are critical to your workflow.

    Llama 3.2 90B Instruct vs Mistral Medium 3.5 FAQ

    Which is cheaper, Llama 3.2 90B Instruct or Mistral Medium 3.5?

    As of August 25, 2026, Llama 3.2 90B Instruct is 92% cheaper on blended LLM API pricing. Llama 3.2 90B Instruct costs $0.35 per million input tokens and $0.40 per million output tokens ($0.75 blended 1M-in + 1M-out). Mistral Medium 3.5 costs $1.50 / $7.50 per million tokens ($9.00 blended). Sources: https://llama.meta.com/ 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 Llama 3.2 90B Instruct vs Mistral Medium 3.5 cost per million tokens?

    Llama 3.2 90B Instruct Meta API pricing is $0.35 input and $0.40 output per million tokens via Meta. 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, Llama 3.2 90B Instruct or Mistral Medium 3.5?

    Mistral Medium 3.5 has a published SWE-bench Verified score of 77.6%. Llama 3.2 90B Instruct does not have that eval on this page yet.

    What is the context window for Llama 3.2 90B Instruct vs Mistral Medium 3.5?

    Llama 3.2 90B Instruct supports a 128K token context window, while Mistral Medium 3.5 supports 256K tokens. Mistral Medium 3.5 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, Llama 3.2 90B Instruct or Mistral Medium 3.5?

    Shared benchmark scores for Llama 3.2 90B Instruct and Mistral Medium 3.5 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 Llama 3.2 90B Instruct or Mistral Medium 3.5 better for production use?

    Both Llama 3.2 90B Instruct and Mistral Medium 3.5 are production API models. For cost-sensitive production traffic, Llama 3.2 90B Instruct 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 Llama 3.2 90B Instruct and Mistral Medium 3.5 in my app?

    Yes. Call Llama 3.2 90B Instruct through Meta 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 Llama 3.2 90B Instruct vs Mistral Medium 3.5 pricing data?

    List rates are the latest published Meta API pricing and Mistral API pricing, quoted per million tokens. Official rate sheets: https://llama.meta.com/ 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 Llama 3.2 90B Instruct and Mistral Medium 3.5?

    Llama 3.2 90B Instruct supports up to 128K 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, Llama 3.2 90B Instruct or Mistral Medium 3.5?

    Llama 3.2 90B Instruct runs at approximately 24 tokens/second while Mistral Medium 3.5 runs at 1 tokens/second. Llama 3.2 90B Instruct 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 Llama 3.2 90B Instruct 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 Llama 3.2 90B Instruct 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.

    Llama 3.2 90B Instruct vs Mistral Medium 3.5 pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Llama 3.2 90B Instruct costs $0.35/M input and $0.40/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.

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