DiffusionGemma 26B-A4B vs Llama 3.2 90B Instruct

    Comparison

    As of August 30, 2026, DiffusionGemma 26B-A4B is 29% cheaper per million tokens than Llama 3.2 90B Instruct. DiffusionGemma 26B-A4B is $0.13 / $0.40 per million input/output tokens versus Llama 3.2 90B Instruct at $0.35 / $0.40. Sources: https://ai.google.dev/gemini-api/docs/pricing and https://llama.meta.com/

    Sources: Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing); Meta pricing (https://llama.meta.com/)

    Better value

    DiffusionGemma 26B-A4B

    Google

    $0.53blended / 1M

    Input

    $0.13

    Output

    $0.40

    262.1K ctx|Open Source
    29%
    cheaper

    Llama 3.2 90B Instruct

    Meta

    $0.75blended / 1M

    Input

    $0.35

    Output

    $0.40

    128K ctx|Open Source
    Save $0.22 per million tokens by choosing DiffusionGemma 26B-A4B over Llama 3.2 90B Instruct.

    DiffusionGemma 26B-A4B vs Llama 3.2 90B Instruct 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.

    DiffusionGemma 26B-A4BLlama 3.2 90B Instruct

    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 priceDiffusionGemma 26B-A4BLlama 3.2 90B Instruct
    Metric
    DiffusionGemma 26B-A4B
    Llama 3.2 90B Instruct
    Provider
    Provider
    Google
    Meta
    License
    Open Source
    Open Source
    Release Date
    2026-06-10
    2024-09-25
    Pricing (per 1M tokens)
    Input Price-63%
    $0.13
    $0.35
    Output Price0%
    $0.40
    $0.40
    Blended (1M + 1M)
    $0.53
    $0.75
    Model Details
    Context Window
    262.1K
    128K
    Max Output Tokens
    N/A
    128K
    Knowledge Cutoff
    2025-01-01
    N/A
    Throughput
    N/A
    24 tok/s
    Benchmarks
    11.9%
    73.2%
    46.7%
    54.3%
    45.2%
    81.5%
    86%
    60.3%
    68%
    92.3%
    69.1%
    85.5%
    47.6%
    90.1%
    70.5%
    57.3%
    86.9%
    77.6%
    32%
    56.2%
    73.5%
    78.1%
    Benchmark Wins
    DiffusionGemma 26B-A4B 2|0 Llama 3.2 90B Instruct

    Verdict

    DiffusionGemma 26B-A4B vs Llama 3.2 90B Instruct: the bottom line

    DiffusionGemma 26B-A4B offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.

    DiffusionGemma 26B-A4B vs Llama 3.2 90B Instruct FAQ

    Which is cheaper, DiffusionGemma 26B-A4B or Llama 3.2 90B Instruct?

    As of August 30, 2026, DiffusionGemma 26B-A4B is 29% cheaper on blended LLM API pricing. DiffusionGemma 26B-A4B costs $0.13 per million input tokens and $0.40 per million output tokens ($0.53 blended 1M-in + 1M-out). Llama 3.2 90B Instruct costs $0.35 / $0.40 per million tokens ($0.75 blended). Sources: https://ai.google.dev/gemini-api/docs/pricing and https://llama.meta.com/. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does DiffusionGemma 26B-A4B vs Llama 3.2 90B Instruct cost per million tokens?

    DiffusionGemma 26B-A4B Gemini API pricing is $0.13 input and $0.40 output per million tokens via Google. Llama 3.2 90B Instruct Meta API pricing is $0.35 input and $0.40 output per million tokens via Meta. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, DiffusionGemma 26B-A4B or Llama 3.2 90B Instruct?

    Neither DiffusionGemma 26B-A4B nor Llama 3.2 90B Instruct has a published SWE-bench or LiveCodeBench score on this page yet. Use the comparison table for the evals that do exist.

    What is the context window for DiffusionGemma 26B-A4B vs Llama 3.2 90B Instruct?

    DiffusionGemma 26B-A4B supports a 262K token context window, while Llama 3.2 90B Instruct supports 128K tokens. DiffusionGemma 26B-A4B 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, DiffusionGemma 26B-A4B or Llama 3.2 90B Instruct?

    DiffusionGemma 26B-A4B leads on 2 of 2 shared benchmarks versus Llama 3.2 90B 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 DiffusionGemma 26B-A4B or Llama 3.2 90B Instruct better for production use?

    Both DiffusionGemma 26B-A4B and Llama 3.2 90B Instruct are production API models. For cost-sensitive production traffic, DiffusionGemma 26B-A4B 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 DiffusionGemma 26B-A4B and Llama 3.2 90B Instruct in my app?

    Yes. Call DiffusionGemma 26B-A4B through Google and Llama 3.2 90B Instruct through Meta 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 DiffusionGemma 26B-A4B vs Llama 3.2 90B Instruct pricing data?

    List rates are the latest published Gemini API pricing and Meta API pricing, quoted per million tokens. Official rate sheets: https://ai.google.dev/gemini-api/docs/pricing and https://llama.meta.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 DiffusionGemma 26B-A4B and Llama 3.2 90B Instruct?

    DiffusionGemma 26B-A4B supports up to an unspecified number of output tokens per request, while Llama 3.2 90B Instruct 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, DiffusionGemma 26B-A4B or Llama 3.2 90B Instruct?

    Llama 3.2 90B Instruct has a measured throughput of approximately 24 tokens/second. Throughput data for DiffusionGemma 26B-A4B 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 DiffusionGemma 26B-A4B vs Llama 3.2 90B Instruct comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open DiffusionGemma 26B-A4B or Llama 3.2 90B Instruct from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    DiffusionGemma 26B-A4B vs Llama 3.2 90B Instruct pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. DiffusionGemma 26B-A4B costs $0.13/M input and $0.40/M output. Llama 3.2 90B Instruct costs $0.35/M input and $0.40/M output.

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

    The index

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    1 models

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    1 models

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    1 models

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    1 models

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