Llama 3.1 70B Instruct vs Qwen2.5-Coder 32B Instruct

    Comparison

    As of August 25, 2026, Qwen2.5-Coder 32B Instruct is 55% cheaper per million tokens than Llama 3.1 70B Instruct. Llama 3.1 70B Instruct is $0.20 / $0.20 per million input/output tokens versus Qwen2.5-Coder 32B Instruct at $0.09 / $0.09. Sources: https://llama.meta.com/ and https://bailian.console.aliyun.com/

    Sources: Meta pricing (https://llama.meta.com/); Qwen pricing (https://bailian.console.aliyun.com/)

    Llama 3.1 70B Instruct

    Meta

    $0.40blended / 1M

    Input

    $0.20

    Output

    $0.20

    128K ctx|Open Source
    55%
    cheaper
    Better value

    Qwen2.5-Coder 32B Instruct

    Qwen

    $0.18blended / 1M

    Input

    $0.09

    Output

    $0.09

    128K ctx|Open Source
    Save $0.22 per million tokens by choosing Qwen2.5-Coder 32B Instruct over Llama 3.1 70B Instruct.

    Llama 3.1 70B Instruct vs Qwen2.5-Coder 32B 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

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

    Best score at each priceLlama 3.1 70B InstructQwen2.5-Coder 32B Instruct
    Metric
    Llama 3.1 70B Instruct
    Qwen2.5-Coder 32B Instruct
    Provider
    Provider
    Meta
    Qwen
    License
    Open Source
    Open Source
    Release Date
    2024-07-23
    2024-09-19
    Pricing (per 1M tokens)
    Input Price+122%
    $0.20
    $0.09
    Output Price+122%
    $0.20
    $0.09
    Blended (1M + 1M)
    $0.40
    $0.18
    Model Details
    Context Window
    128K
    128K
    Max Output Tokens
    128K
    128K
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    42 tok/s
    42 tok/s
    Benchmarks
    41.7%
    44.2%
    87.5%
    3.6%
    84.8%
    83.6%
    75.1%
    83%
    80.5%
    92.7%
    36.7%
    57.2%
    90%
    94.8%
    70.5%
    79.6%
    95.1%
    91.1%
    46.2%
    68%
    90.2%
    86%
    66.4%
    50.4%
    77.5%
    56.7%
    43.1%
    54.2%
    80.8%
    Benchmark Wins
    Llama 3.1 70B Instruct 3|2 Qwen2.5-Coder 32B Instruct

    Verdict

    Llama 3.1 70B Instruct vs Qwen2.5-Coder 32B Instruct: the bottom line

    Qwen2.5-Coder 32B Instruct offers significantly lower pricing, while Llama 3.1 70B Instruct leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    Llama 3.1 70B Instruct vs Qwen2.5-Coder 32B Instruct FAQ

    Which is cheaper, Llama 3.1 70B Instruct or Qwen2.5-Coder 32B Instruct?

    As of August 25, 2026, Qwen2.5-Coder 32B Instruct is 55% cheaper on blended LLM API pricing. Qwen2.5-Coder 32B Instruct costs $0.09 per million input tokens and $0.09 per million output tokens ($0.18 blended 1M-in + 1M-out). Llama 3.1 70B Instruct costs $0.20 / $0.20 per million tokens ($0.40 blended). Sources: https://llama.meta.com/ and https://bailian.console.aliyun.com/. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Llama 3.1 70B Instruct vs Qwen2.5-Coder 32B Instruct cost per million tokens?

    Llama 3.1 70B Instruct Meta API pricing is $0.20 input and $0.20 output per million tokens via Meta. Qwen2.5-Coder 32B Instruct Qwen API pricing is $0.09 input and $0.09 output per million tokens via Qwen. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, Llama 3.1 70B Instruct or Qwen2.5-Coder 32B Instruct?

    Qwen2.5-Coder 32B Instruct has a published SWE-bench Verified score of 9%. Llama 3.1 70B Instruct does not have that eval on this page yet.

    What is the context window for Llama 3.1 70B Instruct vs Qwen2.5-Coder 32B Instruct?

    Llama 3.1 70B Instruct supports a 128K token context window, while Qwen2.5-Coder 32B Instruct supports 128K tokens. Both models have the same context window size. 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, Llama 3.1 70B Instruct or Qwen2.5-Coder 32B Instruct?

    Llama 3.1 70B Instruct leads on 3 of 5 shared benchmarks versus Qwen2.5-Coder 32B Instruct's 2 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 Llama 3.1 70B Instruct or Qwen2.5-Coder 32B Instruct better for production use?

    Both Llama 3.1 70B Instruct and Qwen2.5-Coder 32B Instruct are production API models. For cost-sensitive production traffic, Qwen2.5-Coder 32B 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 Llama 3.1 70B Instruct and Qwen2.5-Coder 32B Instruct in my app?

    Yes. Call Llama 3.1 70B Instruct through Meta and Qwen2.5-Coder 32B Instruct through Qwen 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 Llama 3.1 70B Instruct vs Qwen2.5-Coder 32B Instruct pricing data?

    List rates are the latest published Meta API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://llama.meta.com/ and https://bailian.console.aliyun.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 Llama 3.1 70B Instruct and Qwen2.5-Coder 32B Instruct?

    Llama 3.1 70B Instruct supports up to 128K output tokens per request, while Qwen2.5-Coder 32B 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, Llama 3.1 70B Instruct or Qwen2.5-Coder 32B Instruct?

    Llama 3.1 70B Instruct runs at approximately 42 tokens/second while Qwen2.5-Coder 32B Instruct runs at 42 tokens/second. Qwen2.5-Coder 32B Instruct 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 Llama 3.1 70B Instruct vs Qwen2.5-Coder 32B Instruct comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Llama 3.1 70B Instruct or Qwen2.5-Coder 32B 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.

    Llama 3.1 70B Instruct vs Qwen2.5-Coder 32B Instruct pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Llama 3.1 70B Instruct costs $0.20/M input and $0.20/M output. Qwen2.5-Coder 32B Instruct costs $0.09/M input and $0.09/M output.

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

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