Devstral Medium vs Qwen3-235B-A22B-Instruct-2507

    Comparison

    As of August 25, 2026, Qwen3-235B-A22B-Instruct-2507 is 60% cheaper per million tokens than Devstral Medium. Devstral Medium is $0.40 / $2.00 per million input/output tokens versus Qwen3-235B-A22B-Instruct-2507 at $0.15 / $0.80. Sources: https://docs.mistral.ai/platform/pricing/ and https://bailian.console.aliyun.com/

    Sources: Mistral AI pricing (https://docs.mistral.ai/platform/pricing/); Qwen pricing (https://bailian.console.aliyun.com/)

    Devstral Medium

    Mistral

    $2.40blended / 1M

    Input

    $0.40

    Output

    $2.00

    128K ctx|Proprietary
    60%
    cheaper
    Better value

    Qwen3-235B-A22B-Instruct-2507

    Qwen

    $0.95blended / 1M

    Input

    $0.15

    Output

    $0.80

    262.1K ctx|Open Source
    Save $1.45 per million tokens by choosing Qwen3-235B-A22B-Instruct-2507 over Devstral Medium.

    Devstral Medium vs Qwen3-235B-A22B-Instruct-2507 comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    Devstral Medium
    Qwen3-235B-A22B-Instruct-2507
    Provider
    Provider
    Mistral
    Qwen
    License
    Proprietary
    Open Source
    Release Date
    2025-07-10
    2025-07-22
    Pricing (per 1M tokens)
    Input Price+167%
    $0.40
    $0.15
    Output Price+150%
    $2.00
    $0.80
    Blended (1M + 1M)
    $2.40
    $0.95
    Model Details
    Context Window
    128K
    262.1K
    Max Output Tokens
    128K
    131.1K
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    137.1 tok/s
    N/A
    Benchmarks
    77.5%
    54.3%
    88.7%
    1.3%
    70.3%
    52.1%
    41.8%
    70.9%
    84.3%
    55.4%
    79.5%
    83%
    79.4%
    93.1%
    77.5%
    87.9%
    50.2%
    62.6%
    85.2%

    Verdict

    Devstral Medium vs Qwen3-235B-A22B-Instruct-2507: the bottom line

    Both models are closely matched on benchmarks. Qwen3-235B-A22B-Instruct-2507 has the pricing advantage, making it the better value unless Devstral Medium's specific capabilities are critical to your workflow.

    Devstral Medium vs Qwen3-235B-A22B-Instruct-2507 FAQ

    Which is cheaper, Devstral Medium or Qwen3-235B-A22B-Instruct-2507?

    As of August 25, 2026, Qwen3-235B-A22B-Instruct-2507 is 60% cheaper on blended LLM API pricing. Qwen3-235B-A22B-Instruct-2507 costs $0.15 per million input tokens and $0.80 per million output tokens ($0.95 blended 1M-in + 1M-out). Devstral Medium costs $0.40 / $2.00 per million tokens ($2.40 blended). Sources: https://docs.mistral.ai/platform/pricing/ and https://bailian.console.aliyun.com/. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Devstral Medium vs Qwen3-235B-A22B-Instruct-2507 cost per million tokens?

    Devstral Medium Mistral API pricing is $0.40 input and $2.00 output per million tokens via Mistral AI. Qwen3-235B-A22B-Instruct-2507 Qwen API pricing is $0.15 input and $0.80 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, Devstral Medium or Qwen3-235B-A22B-Instruct-2507?

    Devstral Medium has a published SWE-bench Verified score of 61.6%. Qwen3-235B-A22B-Instruct-2507 does not have that eval on this page yet.

    What is the context window for Devstral Medium vs Qwen3-235B-A22B-Instruct-2507?

    Devstral Medium supports a 128K token context window, while Qwen3-235B-A22B-Instruct-2507 supports 262K tokens. Qwen3-235B-A22B-Instruct-2507 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, Devstral Medium or Qwen3-235B-A22B-Instruct-2507?

    Shared benchmark scores for Devstral Medium and Qwen3-235B-A22B-Instruct-2507 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 Devstral Medium or Qwen3-235B-A22B-Instruct-2507 better for production use?

    Both Devstral Medium and Qwen3-235B-A22B-Instruct-2507 are production API models. For cost-sensitive production traffic, Qwen3-235B-A22B-Instruct-2507 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 Devstral Medium and Qwen3-235B-A22B-Instruct-2507 in my app?

    Yes. Call Devstral Medium through Mistral AI and Qwen3-235B-A22B-Instruct-2507 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 Devstral Medium vs Qwen3-235B-A22B-Instruct-2507 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://bailian.console.aliyun.com/. 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 Devstral Medium and Qwen3-235B-A22B-Instruct-2507?

    Devstral Medium supports up to 128K output tokens per request, while Qwen3-235B-A22B-Instruct-2507 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, Devstral Medium or Qwen3-235B-A22B-Instruct-2507?

    Devstral Medium has a measured throughput of approximately 137.1 tokens/second. Throughput data for Qwen3-235B-A22B-Instruct-2507 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 Devstral Medium vs Qwen3-235B-A22B-Instruct-2507 comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Devstral Medium or Qwen3-235B-A22B-Instruct-2507 from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    Devstral Medium vs Qwen3-235B-A22B-Instruct-2507 pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Devstral Medium costs $0.40/M input and $2.00/M output via Mistral AI. Qwen3-235B-A22B-Instruct-2507 costs $0.15/M input and $0.80/M output.

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

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