Codestral-22B vs DeepSeek-V4-Flash-Max

    Comparison

    As of August 30, 2026, DeepSeek-V4-Flash-Max is 65% cheaper per million tokens than Codestral-22B. Codestral-22B is $0.30 / $0.90 per million input/output tokens versus DeepSeek-V4-Flash-Max at $0.14 / $0.28. Sources: https://mistral.ai/technology/pricing and https://api-docs.deepseek.com/quick_start/pricing

    Sources: Mistral AI pricing (https://mistral.ai/technology/pricing); DeepSeek API pricing (https://api-docs.deepseek.com/quick_start/pricing)

    Codestral-22B

    Mistral

    $1.20blended / 1M

    Input

    $0.30

    Output

    $0.90

    32.8K ctx|Open Source
    65%
    cheaper
    Better value

    DeepSeek-V4-Flash-Max

    DeepSeek

    $0.42blended / 1M

    Input

    $0.14

    Output

    $0.28

    1M ctx|Open Source
    Save $0.78 per million tokens by choosing DeepSeek-V4-Flash-Max over Codestral-22B.

    Codestral-22B vs DeepSeek-V4-Flash-Max comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    Codestral-22B
    DeepSeek-V4-Flash-Max
    Provider
    Provider
    Mistral
    DeepSeek
    License
    Open Source
    Open Source
    Release Date
    2024-05-29
    2026-04-23
    Pricing (per 1M tokens)
    Input Price+114%
    $0.30
    $0.14
    Output Price+221%
    $0.90
    $0.28
    Blended (1M + 1M)
    $1.20
    $0.42
    Model Details
    Context Window
    32.8K
    1M
    Max Output Tokens
    N/A
    393.2K
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    N/A
    N/A
    Benchmarks
    45.1%
    88.1%
    44.9%
    73.2%
    34.1%
    47.8%
    69%
    81.1%
    100%
    60.5%
    7.1%
    51.3%
    78.9%
    94.8%
    78.2%
    86.2%
    78.7%
    34%
    63.5%

    Verdict

    Codestral-22B vs DeepSeek-V4-Flash-Max: the bottom line

    Both models are closely matched on benchmarks. DeepSeek-V4-Flash-Max has the pricing advantage, making it the better value unless Codestral-22B's specific capabilities are critical to your workflow.

    Codestral-22B vs DeepSeek-V4-Flash-Max FAQ

    Which is cheaper, Codestral-22B or DeepSeek-V4-Flash-Max?

    As of August 30, 2026, DeepSeek-V4-Flash-Max is 65% cheaper on blended LLM API pricing. DeepSeek-V4-Flash-Max costs $0.14 per million input tokens and $0.28 per million output tokens ($0.42 blended 1M-in + 1M-out). Codestral-22B costs $0.30 / $0.90 per million tokens ($1.20 blended). Sources: https://mistral.ai/technology/pricing and https://api-docs.deepseek.com/quick_start/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Codestral-22B vs DeepSeek-V4-Flash-Max cost per million tokens?

    Codestral-22B Mistral API pricing is $0.30 input and $0.90 output per million tokens via Mistral AI. DeepSeek-V4-Flash-Max DeepSeek API pricing is $0.14 input and $0.28 output per million tokens via DeepSeek. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, Codestral-22B or DeepSeek-V4-Flash-Max?

    DeepSeek-V4-Flash-Max has a published SWE-bench Verified score of 79%. Codestral-22B does not have that eval on this page yet.

    What is the context window for Codestral-22B vs DeepSeek-V4-Flash-Max?

    Codestral-22B supports a 33K token context window, while DeepSeek-V4-Flash-Max supports 1M tokens. DeepSeek-V4-Flash-Max 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, Codestral-22B or DeepSeek-V4-Flash-Max?

    Shared benchmark scores for Codestral-22B and DeepSeek-V4-Flash-Max 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 Codestral-22B or DeepSeek-V4-Flash-Max better for production use?

    Both Codestral-22B and DeepSeek-V4-Flash-Max are production API models. For cost-sensitive production traffic, DeepSeek-V4-Flash-Max 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 Codestral-22B and DeepSeek-V4-Flash-Max in my app?

    Yes. Call Codestral-22B through Mistral AI and DeepSeek-V4-Flash-Max through DeepSeek 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 Codestral-22B vs DeepSeek-V4-Flash-Max pricing data?

    List rates are the latest published Mistral API pricing and DeepSeek API pricing, quoted per million tokens. Official rate sheets: https://mistral.ai/technology/pricing and https://api-docs.deepseek.com/quick_start/pricing. 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 Codestral-22B and DeepSeek-V4-Flash-Max?

    Codestral-22B supports up to an unspecified number of output tokens per request, while DeepSeek-V4-Flash-Max supports up to 393K 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, Codestral-22B or DeepSeek-V4-Flash-Max?

    Neither Codestral-22B nor DeepSeek-V4-Flash-Max 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 Codestral-22B vs DeepSeek-V4-Flash-Max comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Codestral-22B or DeepSeek-V4-Flash-Max from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    Codestral-22B vs DeepSeek-V4-Flash-Max pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Codestral-22B costs $0.30/M input and $0.90/M output via Mistral AI. DeepSeek-V4-Flash-Max costs $0.14/M input and $0.28/M output.

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

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