Pixtral Large vs Qwen3.8-2.4T-A95B

    Comparison

    As of August 20, 2026, Pixtral Large and Qwen3.8-2.4T-A95B have the same blended API cost at $8.00 per 1 million input plus 1 million output tokens. Pixtral Large is $2.00 / $6.00 per million tokens versus Qwen3.8-2.4T-A95B at $2.00 / $6.00. Sources: https://docs.mistral.ai/platform/pricing/ and https://www.alibabacloud.com/help/en/model-studio/pricing

    Sources: Mistral AI pricing (https://docs.mistral.ai/platform/pricing/); Qwen pricing (https://www.alibabacloud.com/help/en/model-studio/pricing)

    Pixtral Large

    Mistral

    $8.00blended / 1M

    Input

    $2.00

    Output

    $6.00

    128K ctx|Open Source
    vs

    Qwen3.8-2.4T-A95B

    Qwen

    $8.00blended / 1M

    Input

    $2.00

    Output

    $6.00

    1M ctx|Open Source

    Pixtral Large vs Qwen3.8-2.4T-A95B comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    Pixtral Large
    Qwen3.8-2.4T-A95B
    Provider
    Provider
    Mistral
    Qwen
    License
    Open Source
    Open Source
    Release Date
    2024-11-18
    2026-08-12
    Pricing (per 1M tokens)
    Input Price0%
    $2.00
    $2.00
    Output Price0%
    $6.00
    $6.00
    Blended (1M + 1M)
    $8.00
    $8.00
    Model Details
    Context Window
    128K
    1M
    Max Output Tokens
    128K
    N/A
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    0.1 tok/s
    N/A
    Benchmarks
    64%
    93.8%
    88.1%
    93.3%
    69.4%
    80.9%

    Verdict

    Pixtral Large vs Qwen3.8-2.4T-A95B: the bottom line

    Both models are closely matched on benchmarks. Pixtral Large has the pricing advantage, making it the better value unless Qwen3.8-2.4T-A95B's specific capabilities are critical to your workflow.

    Pixtral Large vs Qwen3.8-2.4T-A95B FAQ

    Which is cheaper, Pixtral Large or Qwen3.8-2.4T-A95B?

    As of August 20, 2026, Pixtral Large is 0% cheaper on blended LLM API pricing. Pixtral Large costs $2.00 per million input tokens and $6.00 per million output tokens ($8.00 blended 1M-in + 1M-out). Qwen3.8-2.4T-A95B costs $2.00 / $6.00 per million tokens ($8.00 blended). Sources: https://docs.mistral.ai/platform/pricing/ and https://www.alibabacloud.com/help/en/model-studio/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Pixtral Large vs Qwen3.8-2.4T-A95B cost per million tokens?

    Pixtral Large Mistral API pricing is $2.00 input and $6.00 output per million tokens via Mistral AI. Qwen3.8-2.4T-A95B Qwen API pricing is $2.00 input and $6.00 output per million tokens via Qwen. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, Pixtral Large or Qwen3.8-2.4T-A95B?

    Neither Pixtral Large nor Qwen3.8-2.4T-A95B has a published SWE-bench or LiveCodeBench score on this page yet. Use the comparison table for the evals that do exist.

    What is the context window for Pixtral Large vs Qwen3.8-2.4T-A95B?

    Pixtral Large supports a 128K token context window, while Qwen3.8-2.4T-A95B supports 1M tokens. Qwen3.8-2.4T-A95B 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, Pixtral Large or Qwen3.8-2.4T-A95B?

    Shared benchmark scores for Pixtral Large and Qwen3.8-2.4T-A95B 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 Pixtral Large or Qwen3.8-2.4T-A95B better for production use?

    Both Pixtral Large and Qwen3.8-2.4T-A95B are production API models. For cost-sensitive production traffic, Pixtral Large 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 Pixtral Large and Qwen3.8-2.4T-A95B in my app?

    Yes. Call Pixtral Large through Mistral AI and Qwen3.8-2.4T-A95B through Qwen 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 Pixtral Large vs Qwen3.8-2.4T-A95B pricing data?

    List rates are the latest published Mistral API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://docs.mistral.ai/platform/pricing/ and https://www.alibabacloud.com/help/en/model-studio/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 Pixtral Large and Qwen3.8-2.4T-A95B?

    Pixtral Large supports up to 128K output tokens per request, while Qwen3.8-2.4T-A95B supports up to an unspecified number of 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, Pixtral Large or Qwen3.8-2.4T-A95B?

    Pixtral Large has a measured throughput of approximately 0.1 tokens/second. Throughput data for Qwen3.8-2.4T-A95B 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 Pixtral Large vs Qwen3.8-2.4T-A95B comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Pixtral Large or Qwen3.8-2.4T-A95B from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    Pixtral Large vs Qwen3.8-2.4T-A95B pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Pixtral Large costs $2.00/M input and $6.00/M output via Mistral AI. Qwen3.8-2.4T-A95B costs $2.00/M input and $6.00/M output.

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

    The index

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