Mistral NeMo Instruct vs Qwen3 235B A22B

    Comparison

    As of August 25, 2026, Qwen3 235B A22B is 33% cheaper per million tokens than Mistral NeMo Instruct. Mistral NeMo Instruct is $0.15 / $0.15 per million input/output tokens versus Qwen3 235B A22B at $0.10 / $0.10. 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/)

    Mistral NeMo Instruct

    Mistral

    $0.30blended / 1M

    Input

    $0.15

    Output

    $0.15

    128K ctx|Open Source
    33%
    cheaper
    Better value

    Qwen3 235B A22B

    Qwen

    $0.20blended / 1M

    Input

    $0.10

    Output

    $0.10

    128K ctx|Open Source
    Save $0.10 per million tokens by choosing Qwen3 235B A22B over Mistral NeMo Instruct.

    Mistral NeMo Instruct vs Qwen3 235B A22B 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 NeMo InstructQwen3 235B A22B

    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 NeMo InstructQwen3 235B A22B
    Metric
    Mistral NeMo Instruct
    Qwen3 235B A22B
    Provider
    Provider
    Mistral
    Qwen
    License
    Open Source
    Open Source
    Release Date
    2024-07-18
    2025-04-29
    Pricing (per 1M tokens)
    Input Price+50%
    $0.15
    $0.10
    Output Price+50%
    $0.15
    $0.10
    Blended (1M + 1M)
    $0.30
    $0.20
    Model Details
    Context Window
    128K
    128K
    Max Output Tokens
    128K
    128K
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    42 tok/s
    68.2 tok/s
    Benchmarks
    47.5%
    70.7%
    86.7%
    81.5%
    85.7%
    94.6%
    70.8%
    68%
    87.8%
    83.5%
    71.8%
    61.8%
    95.6%
    88.9%
    79%
    77.6%
    94.4%
    73.5%
    0%
    77.1%
    81.4%
    90.6%
    83.5%
    68.2%
    87.4%
    71.9%
    65.9%
    60.6%
    44.1%
    70.7%
    73.8%
    50.3%
    76.8%
    Benchmark Wins
    Mistral NeMo Instruct 0|1 Qwen3 235B A22B

    Verdict

    Mistral NeMo Instruct vs Qwen3 235B A22B: the bottom line

    Qwen3 235B A22B offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.

    Mistral NeMo Instruct vs Qwen3 235B A22B FAQ

    Which is cheaper, Mistral NeMo Instruct or Qwen3 235B A22B?

    As of August 25, 2026, Qwen3 235B A22B is 33% cheaper on blended LLM API pricing. Qwen3 235B A22B costs $0.10 per million input tokens and $0.10 per million output tokens ($0.20 blended 1M-in + 1M-out). Mistral NeMo Instruct costs $0.15 / $0.15 per million tokens ($0.30 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 NeMo Instruct vs Qwen3 235B A22B cost per million tokens?

    Mistral NeMo Instruct Mistral API pricing is $0.15 input and $0.15 output per million tokens via Mistral AI. Qwen3 235B A22B Qwen API pricing is $0.10 input and $0.10 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 NeMo Instruct or Qwen3 235B A22B?

    Qwen3 235B A22B has a published LiveCodeBench score of 70.7%. Mistral NeMo Instruct does not have that eval on this page yet.

    What is the context window for Mistral NeMo Instruct vs Qwen3 235B A22B?

    Mistral NeMo Instruct supports a 128K token context window, while Qwen3 235B A22B supports 128K tokens. Both models have the same context window size. 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 NeMo Instruct or Qwen3 235B A22B?

    Qwen3 235B A22B leads on 1 of 1 shared benchmarks versus Mistral NeMo Instruct'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 NeMo Instruct or Qwen3 235B A22B better for production use?

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

    Yes. Call Mistral NeMo Instruct through Mistral AI and Qwen3 235B A22B 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 NeMo Instruct vs Qwen3 235B A22B 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 NeMo Instruct and Qwen3 235B A22B?

    Mistral NeMo Instruct supports up to 128K output tokens per request, while Qwen3 235B A22B supports up to 128K 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 NeMo Instruct or Qwen3 235B A22B?

    Mistral NeMo Instruct runs at approximately 42 tokens/second while Qwen3 235B A22B runs at 68.2 tokens/second. Qwen3 235B A22B is faster in raw throughput. 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 NeMo Instruct vs Qwen3 235B A22B comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Mistral NeMo Instruct or Qwen3 235B A22B 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 NeMo Instruct vs Qwen3 235B A22B pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Mistral NeMo Instruct costs $0.15/M input and $0.15/M output via Mistral AI. Qwen3 235B A22B costs $0.10/M input and $0.10/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

    You found the model. Now ship the product.

    Auth, billing, and the API layer are already decided. Fork 8 finished AI apps, or have us build the first version with you.