MiniMax M1 80K vs Qwen3 VL 235B A22B Thinking

    Comparison

    As of August 21, 2026, MiniMax M1 80K is 30% cheaper per million tokens than Qwen3 VL 235B A22B Thinking. MiniMax M1 80K is $0.55 / $2.20 per million input/output tokens versus Qwen3 VL 235B A22B Thinking at $0.45 / $3.49. Sources: https://anotherwrapper.com/tools/llm-pricing and https://bailian.console.aliyun.com/

    Sources: AnotherWrapper LLM pricing (https://anotherwrapper.com/tools/llm-pricing); Qwen pricing (https://bailian.console.aliyun.com/)

    Better value

    MiniMax M1 80K

    MiniMax

    $2.75blended / 1M

    Input

    $0.55

    Output

    $2.20

    1M ctx|Open Source
    30%
    cheaper

    Qwen3 VL 235B A22B Thinking

    Qwen

    $3.94blended / 1M

    Input

    $0.45

    Output

    $3.49

    262.1K ctx|Open Source
    Save $1.19 per million tokens by choosing MiniMax M1 80K over Qwen3 VL 235B A22B Thinking.

    MiniMax M1 80K vs Qwen3 VL 235B A22B Thinking comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    MiniMax M1 80K
    Qwen3 VL 235B A22B Thinking
    Provider
    Provider
    MiniMax
    Qwen
    License
    Open Source
    Open Source
    Release Date
    2025-06-16
    2025-09-22
    Pricing (per 1M tokens)
    Input Price+22%
    $0.55
    $0.45
    Output Price-37%
    $2.20
    $3.49
    Blended (1M + 1M)
    $2.75
    $3.94
    Model Details
    Context Window
    1M
    262.1K
    Max Output Tokens
    40K
    262.1K
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    N/A
    N/A
    Benchmarks
    8.4%
    13.6%
    70%
    18.5%
    44.4%
    88.2%
    38.1%
    69.3%
    66.1%
    76.9%
    89.7%
    86%
    96.8%
    90.6%
    89.2%
    53.7%
    71.9%
    67.1%
    81.5%
    63.5%
    93.7%
    93.4%
    96.5%
    52.5%
    77.4%
    11%
    80%
    89.5%
    61.5%
    63.6%
    74.6%
    92.7%
    83.8%
    90.6%
    81.1%
    83.8%
    80.6%
    93.7%
    80.6%
    78.7%
    80.1%
    79.1%
    71.2%
    87.5%
    43.2%
    68.3%
    81.3%
    92.4%
    95.4%
    77.3%
    61.3%
    34.9%
    64.3%
    80%
    34.4%
    86.7%
    86.8%
    97.3%
    Benchmark Wins
    MiniMax M1 80K 0|5 Qwen3 VL 235B A22B Thinking

    Verdict

    MiniMax M1 80K vs Qwen3 VL 235B A22B Thinking: the bottom line

    MiniMax M1 80K offers significantly lower pricing, while Qwen3 VL 235B A22B Thinking leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    MiniMax M1 80K vs Qwen3 VL 235B A22B Thinking FAQ

    Which is cheaper, MiniMax M1 80K or Qwen3 VL 235B A22B Thinking?

    As of August 21, 2026, MiniMax M1 80K is 30% cheaper on blended LLM API pricing. MiniMax M1 80K costs $0.55 per million input tokens and $2.20 per million output tokens ($2.75 blended 1M-in + 1M-out). Qwen3 VL 235B A22B Thinking costs $0.45 / $3.49 per million tokens ($3.94 blended). Sources: https://anotherwrapper.com/tools/llm-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 MiniMax M1 80K vs Qwen3 VL 235B A22B Thinking cost per million tokens?

    MiniMax M1 80K MiniMax API pricing is $0.55 input and $2.20 output per million tokens via MiniMax. Qwen3 VL 235B A22B Thinking Qwen API pricing is $0.45 input and $3.49 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, MiniMax M1 80K or Qwen3 VL 235B A22B Thinking?

    MiniMax M1 80K has a published SWE-bench Verified score of 56%. Qwen3 VL 235B A22B Thinking does not have that eval on this page yet.

    What is the context window for MiniMax M1 80K vs Qwen3 VL 235B A22B Thinking?

    MiniMax M1 80K supports a 1M token context window, while Qwen3 VL 235B A22B Thinking supports 262K tokens. MiniMax M1 80K 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, MiniMax M1 80K or Qwen3 VL 235B A22B Thinking?

    Qwen3 VL 235B A22B Thinking leads on 5 of 5 shared benchmarks versus MiniMax M1 80K'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 MiniMax M1 80K or Qwen3 VL 235B A22B Thinking better for production use?

    Both MiniMax M1 80K and Qwen3 VL 235B A22B Thinking are production API models. For cost-sensitive production traffic, MiniMax M1 80K 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 MiniMax M1 80K and Qwen3 VL 235B A22B Thinking in my app?

    Yes. Call MiniMax M1 80K through MiniMax and Qwen3 VL 235B A22B Thinking 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 MiniMax M1 80K vs Qwen3 VL 235B A22B Thinking pricing data?

    List rates are the latest published MiniMax API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://anotherwrapper.com/tools/llm-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 MiniMax M1 80K and Qwen3 VL 235B A22B Thinking?

    MiniMax M1 80K supports up to 40K output tokens per request, while Qwen3 VL 235B A22B Thinking supports up to 262K 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, MiniMax M1 80K or Qwen3 VL 235B A22B Thinking?

    Neither MiniMax M1 80K nor Qwen3 VL 235B A22B Thinking has published throughput data on this page yet. 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 MiniMax M1 80K vs Qwen3 VL 235B A22B Thinking comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open MiniMax M1 80K or Qwen3 VL 235B A22B Thinking from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    MiniMax M1 80K vs Qwen3 VL 235B A22B Thinking pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. MiniMax M1 80K costs $0.55/M input and $2.20/M output. Qwen3 VL 235B A22B Thinking costs $0.45/M input and $3.49/M output.

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

    The index

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