Codestral-22B vs Command A+

    Comparison

    As of August 30, 2026, Codestral-22B is 90% cheaper per million tokens than Command A+. Codestral-22B is $0.30 / $0.90 per million input/output tokens versus Command A+ at $2.50 / $10.00. Sources: https://mistral.ai/technology/pricing and https://anotherwrapper.com/tools/llm-pricing

    Sources: Mistral AI pricing (https://mistral.ai/technology/pricing); AnotherWrapper LLM pricing (https://anotherwrapper.com/tools/llm-pricing)

    Better value

    Codestral-22B

    Mistral

    $1.20blended / 1M

    Input

    $0.30

    Output

    $0.90

    32.8K ctx|Open Source
    90%
    cheaper

    Command A+

    Cohere

    $12.50blended / 1M

    Input

    $2.50

    Output

    $10.00

    ctx|Open Source
    Save $11.30 per million tokens by choosing Codestral-22B over Command A+.

    Codestral-22B vs Command A+ comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    Codestral-22B
    Command A+
    Provider
    Provider
    Mistral
    Cohere
    License
    Open Source
    Open Source
    Release Date
    2024-05-29
    2026-05-20
    Pricing (per 1M tokens)
    Input Price-88%
    $0.30
    $2.50
    Output Price-91%
    $0.90
    $10.00
    Blended (1M + 1M)
    $1.20
    $12.50
    Model Details
    Context Window
    32.8K
    N/A
    Max Output Tokens
    N/A
    N/A
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    N/A
    N/A

    Verdict

    Codestral-22B vs Command A+: the bottom line

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

    Codestral-22B vs Command A+ FAQ

    Which is cheaper, Codestral-22B or Command A+?

    As of August 30, 2026, Codestral-22B is 90% cheaper on blended LLM API pricing. Codestral-22B costs $0.30 per million input tokens and $0.90 per million output tokens ($1.20 blended 1M-in + 1M-out). Command A+ costs $2.50 / $10.00 per million tokens ($12.50 blended). Sources: https://mistral.ai/technology/pricing and https://anotherwrapper.com/tools/llm-pricing. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Codestral-22B vs Command A+ cost per million tokens?

    Codestral-22B Mistral API pricing is $0.30 input and $0.90 output per million tokens via Mistral AI. Command A+ Cohere API pricing is $2.50 input and $10.00 output per million tokens via Cohere. 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 Command A+?

    Codestral-22B has a published HumanEval score of 81.1%. Command A+ does not have that eval on this page yet.

    What is the context window for Codestral-22B vs Command A+?

    Codestral-22B supports a 33K token context window, while Command A+ supports tokens. Codestral-22B 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 Command A+?

    Shared benchmark scores for Codestral-22B and Command A+ 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 Command A+ better for production use?

    Both Codestral-22B and Command A+ are production API models. For cost-sensitive production traffic, Codestral-22B 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 Command A+ in my app?

    Yes. Call Codestral-22B through Mistral AI and Command A+ through Cohere 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 Command A+ pricing data?

    List rates are the latest published Mistral API pricing and Cohere API pricing, quoted per million tokens. Official rate sheets: https://mistral.ai/technology/pricing and https://anotherwrapper.com/tools/llm-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 Command A+?

    Codestral-22B supports up to an unspecified number of output tokens per request, while Command A+ 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, Codestral-22B or Command A+?

    Neither Codestral-22B nor Command A+ 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 Command A+ 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 Command A+ 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 Command A+ 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. Command A+ costs $2.50/M input and $10.00/M output.

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

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