Model Comparison

    CodestralvsGrok-4.1 Thinking

    API pricing, context window, throughput, and benchmark performance compared side by side. Codestral costs 96% less per million tokens.

    Better value
    Mistral

    Codestral

    Mistral

    $0.80blended / 1M

    Input

    $0.20

    Output

    $0.60

    256K ctx|Proprietary
    96%
    cheaper
    xAI

    Grok-4.1 Thinking

    xAI

    $18.00blended / 1M

    Input

    $3.00

    Output

    $15.00

    256K ctx|Proprietary|80 tok/s

    Save $17.20 per million tokens by choosing Codestral over Grok-4.1 Thinking

    Based on blended rate (1M input + 1M output)

    Full Comparison

    Pricing, specs, and benchmarks side by side

    Metric
    Codestral
    Grok-4.1 Thinking
    Provider
    Provider
    Mistral
    xAI
    License
    Proprietary
    Proprietary
    Release Date
    2025-08-01
    2025-11-17
    Pricing (per 1M tokens)
    Input Price-93%
    $0.20
    $3.00
    Output Price-96%
    $0.60
    $15.00
    Blended (1M + 1M)
    $0.80
    $18.00
    Model Details
    Context Window
    256K
    256K
    Max Output Tokens
    16.4K
    N/A
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    N/A
    80 tok/s
    Benchmarks
    HumanEval
    86.6%

    Verdict

    Codestral vs Grok-4.1 Thinking: The Bottom Line

    Both models are closely matched on benchmarks. Codestral has the pricing advantage, making it the better value unless Grok-4.1 Thinking's specific capabilities are critical to your workflow.

    FAQ

    Codestral vs Grok-4.1 Thinking

    Common questions about comparing Codestral and Grok-4.1 Thinking pricing, performance, and capabilities.

    Share

    About This Comparison

    This page compares Codestral by Mistral against Grok-4.1 Thinking by xAI across pricing, model specifications, and benchmark performance. All pricing data reflects the latest published API rates per million tokens.

    Use this comparison to make informed decisions about which model fits your use case. Whether you're optimizing for cost, performance, or context window size, the data above provides a clear picture of how Codestral and Grok-4.1 Thinking stack up.

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    From the founder

    Built from production, not theory.

    15 apps in, I realized I was rebuilding the same thing every time. So I stopped and packaged it.

    Fekri, Founder of AnotherWrapperverified

    Fekri

    Founder & Engineer

    @fekdaoui

    I've been building AI apps since GPT-3 and shipped more than 15 of them to over 200K users. I realized I was doing the same thing over and over: set up auth, handle Stripe webhooks, build embedding pipelines, add rate limiting, configure model routing...

    About 70% of every new project was copy-pasting from the last one. So I turned it into a proper codebase and built AnotherWrapper for 3 reasons:

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