Mistral Small 3.2 24B Instruct vs Phi 4

    Comparison

    As of August 25, 2026, Phi 4 is 24% cheaper per million tokens than Mistral Small 3.2 24B Instruct. Mistral Small 3.2 24B Instruct is $0.07 / $0.20 per million input/output tokens versus Phi 4 at $0.07 / $0.14. Sources: https://openrouter.ai/api/v1/models and https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/

    Sources: OpenRouter pricing (https://openrouter.ai/api/v1/models); Microsoft pricing (https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/)

    Mistral Small 3.2 24B Instruct

    Mistral

    $0.28blended / 1M

    Input

    $0.07

    Output

    $0.20

    128K ctx|Open Source
    24%
    cheaper
    Better value

    Phi 4

    Microsoft

    $0.21blended / 1M

    Input

    $0.07

    Output

    $0.14

    16K ctx|Open Source
    Save $0.07 per million tokens by choosing Phi 4 over Mistral Small 3.2 24B Instruct.

    Mistral Small 3.2 24B Instruct vs Phi 4 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.

    Score vs price

    GPQA. 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 Small 3.2 24B InstructPhi 4
    Metric
    Mistral Small 3.2 24B Instruct
    Phi 4
    Provider
    Provider
    Mistral
    Microsoft
    License
    Open Source
    Open Source
    Release Date
    2025-06-20
    2024-12-12
    Pricing (per 1M tokens)
    Input Price+7%
    $0.07
    $0.07
    Output Price+43%
    $0.20
    $0.14
    Blended (1M + 1M)
    $0.28
    $0.21
    Model Details
    Context Window
    128K
    16K
    Max Output Tokens
    N/A
    16K
    Knowledge Cutoff
    2023-10-01
    2024-06-01
    Throughput
    N/A
    33 tok/s
    Benchmarks
    46.1%
    56.1%
    56.1%
    12.1%
    3%
    63%
    13.8%
    28.8%
    80.5%
    84.8%
    62.5%
    82.6%
    69.4%
    80.4%
    92.9%
    43.1%
    75.4%
    87.4%
    94.9%
    75.5%
    84.8%
    47.6%
    67.1%
    78.3%
    80.6%
    69.1%
    70.4%
    56.2%
    65.3%
    Benchmark Wins
    Mistral Small 3.2 24B Instruct 1|5 Phi 4

    Verdict

    Mistral Small 3.2 24B Instruct vs Phi 4: the bottom line

    Phi 4 offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.

    Mistral Small 3.2 24B Instruct vs Phi 4 FAQ

    Which is cheaper, Mistral Small 3.2 24B Instruct or Phi 4?

    As of August 25, 2026, Phi 4 is 24% cheaper on blended LLM API pricing. Phi 4 costs $0.07 per million input tokens and $0.14 per million output tokens ($0.21 blended 1M-in + 1M-out). Mistral Small 3.2 24B Instruct costs $0.07 / $0.20 per million tokens ($0.28 blended). Sources: https://openrouter.ai/api/v1/models and https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Mistral Small 3.2 24B Instruct vs Phi 4 cost per million tokens?

    Mistral Small 3.2 24B Instruct Mistral API pricing is $0.07 input and $0.20 output per million tokens via OpenRouter. Phi 4 Microsoft API pricing is $0.07 input and $0.14 output per million tokens via Microsoft. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, Mistral Small 3.2 24B Instruct or Phi 4?

    Phi 4 has a published HumanEval score of 82.6%. Mistral Small 3.2 24B Instruct does not have that eval on this page yet.

    What is the context window for Mistral Small 3.2 24B Instruct vs Phi 4?

    Mistral Small 3.2 24B Instruct supports a 128K token context window, while Phi 4 supports 16K tokens. Mistral Small 3.2 24B Instruct 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, Mistral Small 3.2 24B Instruct or Phi 4?

    Phi 4 leads on 5 of 6 shared benchmarks versus Mistral Small 3.2 24B Instruct's 1 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 Small 3.2 24B Instruct or Phi 4 better for production use?

    Both Mistral Small 3.2 24B Instruct and Phi 4 are production API models. For cost-sensitive production traffic, Phi 4 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 Small 3.2 24B Instruct and Phi 4 in my app?

    Yes. Call Mistral Small 3.2 24B Instruct through OpenRouter and Phi 4 through Microsoft 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 Small 3.2 24B Instruct vs Phi 4 pricing data?

    List rates are the latest published Mistral API pricing and Microsoft API pricing, quoted per million tokens. Official rate sheets: https://openrouter.ai/api/v1/models and https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/. 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 Small 3.2 24B Instruct and Phi 4?

    Mistral Small 3.2 24B Instruct supports up to an unspecified number of output tokens per request, while Phi 4 supports up to 16K 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 Small 3.2 24B Instruct or Phi 4?

    Phi 4 has a measured throughput of approximately 33 tokens/second. Throughput data for Mistral Small 3.2 24B Instruct is not yet available. 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 Small 3.2 24B Instruct vs Phi 4 comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Mistral Small 3.2 24B Instruct or Phi 4 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 Small 3.2 24B Instruct vs Phi 4 pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Mistral Small 3.2 24B Instruct costs $0.07/M input and $0.20/M output via OpenRouter. Phi 4 costs $0.07/M input and $0.14/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.