Devstral Medium vs Qwen3 VL 32B Instruct

    Comparison

    As of August 25, 2026, Qwen3 VL 32B Instruct is 78% cheaper per million tokens than Devstral Medium. Devstral Medium is $0.40 / $2.00 per million input/output tokens versus Qwen3 VL 32B Instruct at $0.10 / $0.42. Sources: https://docs.mistral.ai/platform/pricing/ and https://openrouter.ai/api/v1/models

    Sources: Mistral AI pricing (https://docs.mistral.ai/platform/pricing/); OpenRouter pricing (https://openrouter.ai/api/v1/models)

    Devstral Medium

    Mistral

    $2.40blended / 1M

    Input

    $0.40

    Output

    $2.00

    128K ctx|Proprietary
    78%
    cheaper
    Better value

    Qwen3 VL 32B Instruct

    Qwen

    $0.52blended / 1M

    Input

    $0.10

    Output

    $0.42

    262.1K ctx|Open Source
    Save $1.88 per million tokens by choosing Qwen3 VL 32B Instruct over Devstral Medium.

    Devstral Medium vs Qwen3 VL 32B Instruct comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    Devstral Medium
    Qwen3 VL 32B Instruct
    Provider
    Provider
    Mistral
    Qwen
    License
    Proprietary
    Open Source
    Release Date
    2025-07-10
    2025-09-22
    Pricing (per 1M tokens)
    Input Price+285%
    $0.40
    $0.10
    Output Price+381%
    $2.00
    $0.42
    Blended (1M + 1M)
    $2.40
    $0.52
    Model Details
    Context Window
    128K
    262.1K
    Max Output Tokens
    128K
    N/A
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    137.1 tok/s
    N/A
    Benchmarks
    68.9%
    84.7%
    32.6%
    65.3%
    62.8%
    66.2%
    86.4%
    89.5%
    70.2%
    67.3%
    80.3%
    61.2%
    90.5%
    96.9%
    48.8%
    74%
    63.8%
    63.4%
    82.1%
    78.6%
    73.4%
    89.8%
    76%
    77.7%
    72.8%
    72%
    72.8%
    89.5%
    46.6%
    40.5%
    95.8%
    54.6%
    82.9%

    Verdict

    Devstral Medium vs Qwen3 VL 32B Instruct: the bottom line

    Both models are closely matched on benchmarks. Qwen3 VL 32B Instruct has the pricing advantage, making it the better value unless Devstral Medium's specific capabilities are critical to your workflow.

    Devstral Medium vs Qwen3 VL 32B Instruct FAQ

    Which is cheaper, Devstral Medium or Qwen3 VL 32B Instruct?

    As of August 25, 2026, Qwen3 VL 32B Instruct is 78% cheaper on blended LLM API pricing. Qwen3 VL 32B Instruct costs $0.10 per million input tokens and $0.42 per million output tokens ($0.52 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://openrouter.ai/api/v1/models. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Devstral Medium vs Qwen3 VL 32B Instruct cost per million tokens?

    Devstral Medium Mistral API pricing is $0.40 input and $2.00 output per million tokens via Mistral AI. Qwen3 VL 32B Instruct OpenRouter API pricing is $0.10 input and $0.42 output per million tokens via OpenRouter. 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 VL 32B Instruct?

    Devstral Medium has a published SWE-bench Verified score of 61.6%. Qwen3 VL 32B Instruct does not have that eval on this page yet.

    What is the context window for Devstral Medium vs Qwen3 VL 32B Instruct?

    Devstral Medium supports a 128K token context window, while Qwen3 VL 32B Instruct supports 262K tokens. Qwen3 VL 32B Instruct 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 VL 32B Instruct?

    Shared benchmark scores for Devstral Medium and Qwen3 VL 32B Instruct 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 VL 32B Instruct better for production use?

    Both Devstral Medium and Qwen3 VL 32B Instruct are production API models. For cost-sensitive production traffic, Qwen3 VL 32B 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 Devstral Medium and Qwen3 VL 32B Instruct in my app?

    Yes. Call Devstral Medium through Mistral AI and Qwen3 VL 32B Instruct through OpenRouter 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 VL 32B Instruct pricing data?

    List rates are the latest published Mistral API pricing and OpenRouter API pricing, quoted per million tokens. Official rate sheets: https://docs.mistral.ai/platform/pricing/ and https://openrouter.ai/api/v1/models. 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 VL 32B Instruct?

    Devstral Medium supports up to 128K output tokens per request, while Qwen3 VL 32B Instruct 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, Devstral Medium or Qwen3 VL 32B Instruct?

    Devstral Medium has a measured throughput of approximately 137.1 tokens/second. Throughput data for Qwen3 VL 32B Instruct 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 VL 32B Instruct 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 VL 32B Instruct 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 VL 32B Instruct 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 VL 32B Instruct costs $0.10/M input and $0.42/M output via OpenRouter.

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

    The index

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