Mistral Small vs Qwen3 VL 30B A3B Instruct

    Comparison

    As of August 25, 2026, Mistral Small is 11% cheaper per million tokens than Qwen3 VL 30B A3B Instruct. Mistral Small is $0.20 / $0.60 per million input/output tokens versus Qwen3 VL 30B A3B Instruct at $0.20 / $0.70. 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/)

    Better value

    Mistral Small

    Mistral

    $0.80blended / 1M

    Input

    $0.20

    Output

    $0.60

    32.8K ctx|Open Source
    11%
    cheaper

    Qwen3 VL 30B A3B Instruct

    Qwen

    $0.90blended / 1M

    Input

    $0.20

    Output

    $0.70

    262.1K ctx|Open Source
    Save $0.10 per million tokens by choosing Mistral Small over Qwen3 VL 30B A3B Instruct.

    Mistral Small vs Qwen3 VL 30B A3B Instruct 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.

    Mistral SmallQwen3 VL 30B A3B Instruct

    Score vs price

    MMLU. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.

    Best score at each priceMistral SmallQwen3 VL 30B A3B Instruct
    Metric
    Mistral Small
    Qwen3 VL 30B A3B Instruct
    Provider
    Provider
    Mistral
    Qwen
    License
    Open Source
    Open Source
    Release Date
    2024-09-17
    2025-09-22
    Pricing (per 1M tokens)
    Input Price0%
    $0.20
    $0.20
    Output Price-14%
    $0.60
    $0.70
    Blended (1M + 1M)
    $0.80
    $0.90
    Model Details
    Context Window
    32.8K
    262.1K
    Max Output Tokens
    32.8K
    32.8K
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    0.1 tok/s
    N/A
    Benchmarks
    70.4%
    27%
    85.8%
    30.3%
    60.4%
    48.9%
    69.3%
    68.7%
    85%
    85%
    66.3%
    67.7%
    80.7%
    63.5%
    85.5%
    43%
    50.6%
    71.6%
    62.5%
    60.2%
    81.3%
    77.8%
    70.9%
    88.4%
    74.2%
    72.1%
    62.9%
    66.1%
    72.3%
    90.3%
    47.5%
    44.3%
    73.7%
    94.7%
    53.1%
    74.5%
    68.7%
    82.6%
    Benchmark Wins
    Mistral Small 0|1 Qwen3 VL 30B A3B Instruct

    Verdict

    Mistral Small vs Qwen3 VL 30B A3B Instruct: the bottom line

    Mistral Small offers significantly lower pricing, while Qwen3 VL 30B A3B Instruct leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    Mistral Small vs Qwen3 VL 30B A3B Instruct FAQ

    Which is cheaper, Mistral Small or Qwen3 VL 30B A3B Instruct?

    As of August 25, 2026, Mistral Small is 11% cheaper on blended LLM API pricing. Mistral Small costs $0.20 per million input tokens and $0.60 per million output tokens ($0.80 blended 1M-in + 1M-out). Qwen3 VL 30B A3B Instruct costs $0.20 / $0.70 per million tokens ($0.90 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 Mistral Small vs Qwen3 VL 30B A3B Instruct cost per million tokens?

    Mistral Small Mistral API pricing is $0.20 input and $0.60 output per million tokens via Mistral AI. Qwen3 VL 30B A3B Instruct Qwen API pricing is $0.20 input and $0.70 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, Mistral Small or Qwen3 VL 30B A3B Instruct?

    Neither Mistral Small nor Qwen3 VL 30B A3B Instruct 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 Mistral Small vs Qwen3 VL 30B A3B Instruct?

    Mistral Small supports a 33K token context window, while Qwen3 VL 30B A3B Instruct supports 262K tokens. Qwen3 VL 30B A3B 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, Mistral Small or Qwen3 VL 30B A3B Instruct?

    Qwen3 VL 30B A3B Instruct leads on 1 of 1 shared benchmarks versus Mistral Small's 0 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 Mistral Small or Qwen3 VL 30B A3B Instruct better for production use?

    Both Mistral Small and Qwen3 VL 30B A3B Instruct are production API models. For cost-sensitive production traffic, Mistral Small 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 Mistral Small and Qwen3 VL 30B A3B Instruct in my app?

    Yes. Call Mistral Small through Mistral AI and Qwen3 VL 30B A3B Instruct 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 Mistral Small vs Qwen3 VL 30B A3B Instruct 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 Mistral Small and Qwen3 VL 30B A3B Instruct?

    Mistral Small supports up to 33K output tokens per request, while Qwen3 VL 30B A3B Instruct supports up to 33K 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, Mistral Small or Qwen3 VL 30B A3B Instruct?

    Mistral Small has a measured throughput of approximately 0.1 tokens/second. Throughput data for Qwen3 VL 30B A3B 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 Mistral Small vs Qwen3 VL 30B A3B Instruct comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Mistral Small or Qwen3 VL 30B A3B 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.

    Mistral Small vs Qwen3 VL 30B A3B Instruct pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Mistral Small costs $0.20/M input and $0.60/M output via Mistral AI. Qwen3 VL 30B A3B Instruct costs $0.20/M input and $0.70/M output.

    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

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