GPT-5.1 High vs Llama 3.3 70B Instruct

    Comparison

    As of August 25, 2026, Llama 3.3 70B Instruct is 96% cheaper per million tokens than GPT-5.1 High. GPT-5.1 High is $1.25 / $10.00 per million input/output tokens versus Llama 3.3 70B Instruct at $0.20 / $0.20. Sources: https://developers.openai.com/api/docs/pricing and https://llama.meta.com/

    Sources: OpenAI API pricing (https://developers.openai.com/api/docs/pricing); Meta pricing (https://llama.meta.com/)

    GPT-5.1 High

    OpenAI

    $11.25blended / 1M

    Input

    $1.25

    Output

    $10.00

    400K ctx|Proprietary
    96%
    cheaper
    Better value

    Llama 3.3 70B Instruct

    Meta

    $0.40blended / 1M

    Input

    $0.20

    Output

    $0.20

    128K ctx|Open Source
    Save $10.85 per million tokens by choosing Llama 3.3 70B Instruct over GPT-5.1 High.

    GPT-5.1 High vs Llama 3.3 70B 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.

    Score vs price

    AIME 2025. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.

    Best score at each priceGPT-5.1 HighLlama 3.3 70B Instruct
    Metric
    GPT-5.1 High
    Llama 3.3 70B Instruct
    Provider
    Provider
    OpenAI
    Meta
    License
    Proprietary
    Open Source
    Release Date
    2025-11-12
    2024-12-06
    Pricing (per 1M tokens)
    Input Price+525%
    $1.25
    $0.20
    Output Price+4900%
    $10.00
    $0.20
    Blended (1M + 1M)
    $11.25
    $0.40
    Model Details
    Context Window
    400K
    128K
    Max Output Tokens
    128K
    128K
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    80 tok/s
    42 tok/s
    Benchmarks
    88.1%
    50.5%
    47.4%
    43.3%
    26.0%
    92.1%
    99.6%
    5.1%
    31.9%
    86%
    88.4%
    77%
    77.3%
    4.9%
    0%
    72.0%
    50.2%
    91.1%
    68.9%
    19.9%
    Benchmark Wins
    GPT-5.1 High 5|0 Llama 3.3 70B Instruct

    Verdict

    GPT-5.1 High vs Llama 3.3 70B Instruct: the bottom line

    Llama 3.3 70B Instruct offers significantly lower pricing, while GPT-5.1 High leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    GPT-5.1 High vs Llama 3.3 70B Instruct FAQ

    Which is cheaper, GPT-5.1 High or Llama 3.3 70B Instruct?

    As of August 25, 2026, Llama 3.3 70B Instruct is 96% cheaper on blended LLM API pricing. Llama 3.3 70B Instruct costs $0.20 per million input tokens and $0.20 per million output tokens ($0.40 blended 1M-in + 1M-out). GPT-5.1 High costs $1.25 / $10.00 per million tokens ($11.25 blended). Sources: https://developers.openai.com/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 GPT-5.1 High vs Llama 3.3 70B Instruct cost per million tokens?

    GPT-5.1 High OpenAI API pricing is $1.25 input and $10.00 output per million tokens via OpenAI. Llama 3.3 70B Instruct Meta API pricing is $0.20 input and $0.20 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, GPT-5.1 High or Llama 3.3 70B Instruct?

    Llama 3.3 70B Instruct has a published HumanEval score of 88.4%. GPT-5.1 High does not have that eval on this page yet.

    What is the context window for GPT-5.1 High vs Llama 3.3 70B Instruct?

    GPT-5.1 High supports a 400K token context window, while Llama 3.3 70B Instruct supports 128K tokens. GPT-5.1 High 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, GPT-5.1 High or Llama 3.3 70B Instruct?

    GPT-5.1 High leads on 5 of 5 shared benchmarks versus Llama 3.3 70B 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 GPT-5.1 High or Llama 3.3 70B Instruct better for production use?

    Both GPT-5.1 High and Llama 3.3 70B Instruct are production API models. For cost-sensitive production traffic, Llama 3.3 70B Instruct 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 GPT-5.1 High and Llama 3.3 70B Instruct in my app?

    Yes. Call GPT-5.1 High through OpenAI and Llama 3.3 70B 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 GPT-5.1 High vs Llama 3.3 70B Instruct pricing data?

    List rates are the latest published OpenAI API pricing and Meta API pricing, quoted per million tokens. Official rate sheets: https://developers.openai.com/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 GPT-5.1 High and Llama 3.3 70B Instruct?

    GPT-5.1 High supports up to 128K output tokens per request, while Llama 3.3 70B 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, GPT-5.1 High or Llama 3.3 70B Instruct?

    GPT-5.1 High runs at approximately 80 tokens/second while Llama 3.3 70B Instruct runs at 42 tokens/second. GPT-5.1 High is faster in raw throughput. 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 GPT-5.1 High vs Llama 3.3 70B Instruct comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open GPT-5.1 High or Llama 3.3 70B 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.

    GPT-5.1 High vs Llama 3.3 70B Instruct pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. GPT-5.1 High costs $1.25/M input and $10.00/M output. Llama 3.3 70B Instruct costs $0.20/M input and $0.20/M output.

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

    The index

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