Llama 3.3 70B Instruct vs Qwen3.6-35B-A3B

    Comparison

    As of August 25, 2026, Llama 3.3 70B Instruct is 65% cheaper per million tokens than Qwen3.6-35B-A3B. Llama 3.3 70B Instruct is $0.20 / $0.20 per million input/output tokens versus Qwen3.6-35B-A3B at $0.14 / $1.00. Sources: https://llama.meta.com/ and https://openrouter.ai/api/v1/models

    Sources: Meta pricing (https://llama.meta.com/); OpenRouter pricing (https://openrouter.ai/api/v1/models)

    Better value

    Llama 3.3 70B Instruct

    Meta

    $0.40blended / 1M

    Input

    $0.20

    Output

    $0.20

    128K ctx|Open Source
    65%
    cheaper

    Qwen3.6-35B-A3B

    Qwen

    $1.14blended / 1M

    Input

    $0.14

    Output

    $1.00

    262.1K ctx|Open Source
    Save $0.74 per million tokens by choosing Llama 3.3 70B Instruct over Qwen3.6-35B-A3B.

    Llama 3.3 70B Instruct vs Qwen3.6-35B-A3B 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 priceLlama 3.3 70B InstructQwen3.6-35B-A3B
    Metric
    Llama 3.3 70B Instruct
    Qwen3.6-35B-A3B
    Provider
    Provider
    Meta
    Qwen
    License
    Open Source
    Open Source
    Release Date
    2024-12-06
    2026-04-16
    Pricing (per 1M tokens)
    Input Price+43%
    $0.20
    $0.14
    Output Price-80%
    $0.20
    $1.00
    Blended (1M + 1M)
    $0.40
    $1.14
    Model Details
    Context Window
    128K
    262.1K
    Max Output Tokens
    128K
    N/A
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    42 tok/s
    N/A
    Benchmarks
    21.4%
    50.5%
    86%
    47.4%
    83.8%
    26.0%
    35.8%
    1249.48
    92.1%
    26.9%
    62.8%
    75.3%
    78%
    5.1%
    86.7%
    31.9%
    86%
    81.7%
    88.4%
    77%
    92.7%
    92.7%
    77.3%
    90%
    81.9%
    50%
    0%
    0.3%
    90.7%
    83.6%
    89.1%
    50.2%
    71.4%
    37%
    91.1%
    86.2%
    92.8%
    68.9%
    85.2%
    93.3%
    74.6%
    29.4%
    50.8%
    85.3%
    19.9%
    58.9%
    28.7%
    64.7%
    67.2%
    83.7%
    35.6%
    60.1%
    52.6%
    Benchmark Wins
    Llama 3.3 70B Instruct 0|6 Qwen3.6-35B-A3B

    Verdict

    Llama 3.3 70B Instruct vs Qwen3.6-35B-A3B: the bottom line

    Llama 3.3 70B Instruct offers significantly lower pricing, while Qwen3.6-35B-A3B leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    Llama 3.3 70B Instruct vs Qwen3.6-35B-A3B FAQ

    Which is cheaper, Llama 3.3 70B Instruct or Qwen3.6-35B-A3B?

    As of August 25, 2026, Llama 3.3 70B Instruct is 65% 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). Qwen3.6-35B-A3B costs $0.14 / $1.00 per million tokens ($1.14 blended). Sources: https://llama.meta.com/ and https://openrouter.ai/api/v1/models. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Llama 3.3 70B Instruct vs Qwen3.6-35B-A3B cost per million tokens?

    Llama 3.3 70B Instruct Meta API pricing is $0.20 input and $0.20 output per million tokens via Meta. Qwen3.6-35B-A3B OpenRouter API pricing is $0.14 input and $1.00 output per million tokens via OpenRouter. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, Llama 3.3 70B Instruct or Qwen3.6-35B-A3B?

    Qwen3.6-35B-A3B has a published SWE-bench Verified score of 73.4%. Llama 3.3 70B Instruct does not have that eval on this page yet.

    What is the context window for Llama 3.3 70B Instruct vs Qwen3.6-35B-A3B?

    Llama 3.3 70B Instruct supports a 128K token context window, while Qwen3.6-35B-A3B supports 262K tokens. Qwen3.6-35B-A3B 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, Llama 3.3 70B Instruct or Qwen3.6-35B-A3B?

    Qwen3.6-35B-A3B leads on 6 of 6 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 Llama 3.3 70B Instruct or Qwen3.6-35B-A3B better for production use?

    Both Llama 3.3 70B Instruct and Qwen3.6-35B-A3B 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 Llama 3.3 70B Instruct and Qwen3.6-35B-A3B in my app?

    Yes. Call Llama 3.3 70B Instruct through Meta and Qwen3.6-35B-A3B through OpenRouter 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 3.3 70B Instruct vs Qwen3.6-35B-A3B pricing data?

    List rates are the latest published Meta API pricing and OpenRouter API pricing, quoted per million tokens. Official rate sheets: https://llama.meta.com/ and https://openrouter.ai/api/v1/models. 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 3.3 70B Instruct and Qwen3.6-35B-A3B?

    Llama 3.3 70B Instruct supports up to 128K output tokens per request, while Qwen3.6-35B-A3B supports up to an unspecified number of 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 3.3 70B Instruct or Qwen3.6-35B-A3B?

    Llama 3.3 70B Instruct has a measured throughput of approximately 42 tokens/second. Throughput data for Qwen3.6-35B-A3B 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 Llama 3.3 70B Instruct vs Qwen3.6-35B-A3B comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Llama 3.3 70B Instruct or Qwen3.6-35B-A3B 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 3.3 70B Instruct vs Qwen3.6-35B-A3B pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Llama 3.3 70B Instruct costs $0.20/M input and $0.20/M output. Qwen3.6-35B-A3B costs $0.14/M input and $1.00/M output via OpenRouter.

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

    The index

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    Next step

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