Llama-3.3 Nemotron Super 49B v1 vs Qwen3.8 Flash

    Comparison

    As of August 30, 2026, Llama-3.3 Nemotron Super 49B v1 is 19% cheaper per million tokens than Qwen3.8 Flash. Llama-3.3 Nemotron Super 49B v1 is $0.10 / $0.40 per million input/output tokens versus Qwen3.8 Flash at $0.15 / $0.47. Sources: https://build.nvidia.com/nvidia/llama-3_3-nemotron-super-49b-v1 and https://www.qwencloud.com/models/qwen3.8-flash

    Sources: NVIDIA pricing (https://build.nvidia.com/nvidia/llama-3_3-nemotron-super-49b-v1); Qwen pricing (https://www.qwencloud.com/models/qwen3.8-flash)

    Better value

    Llama-3.3 Nemotron Super 49B v1

    NVIDIA

    $0.50blended / 1M

    Input

    $0.10

    Output

    $0.40

    131.1K ctx|Open Source
    19%
    cheaper

    Qwen3.8 Flash

    Qwen

    $0.62blended / 1M

    Input

    $0.15

    Output

    $0.47

    1M ctx|Proprietary
    Save $0.12 per million tokens by choosing Llama-3.3 Nemotron Super 49B v1 over Qwen3.8 Flash.

    Llama-3.3 Nemotron Super 49B v1 vs Qwen3.8 Flash 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.

    Llama-3.3 Nemotron Super 49B v1Qwen3.8 Flash

    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 priceLlama-3.3 Nemotron Super 49B v1Qwen3.8 Flash
    Metric
    Llama-3.3 Nemotron Super 49B v1
    Qwen3.8 Flash
    Provider
    Provider
    NVIDIA
    Qwen
    License
    Open Source
    Proprietary
    Release Date
    2025-03-18
    2026-08-26
    Pricing (per 1M tokens)
    Input Price-33%
    $0.10
    $0.15
    Output Price-15%
    $0.40
    $0.47
    Blended (1M + 1M)
    $0.50
    $0.62
    Model Details
    Context Window
    131.1K
    1M
    Max Output Tokens
    N/A
    131.1K
    Knowledge Cutoff
    2023-12-31
    N/A
    Throughput
    N/A
    N/A
    Benchmarks
    35.9%
    66.7%
    91.7%
    58.7%
    81.3%
    73.5%
    90.6%
    58.4%
    96.6%
    84.5%
    88.3%
    73.7%
    60.4%
    73.9%
    72.3%
    55.7%
    76.6%
    95.7%
    91.3%
    91.7%
    48.1%
    19.4%
    88.5%
    Benchmark Wins
    Llama-3.3 Nemotron Super 49B v1 0|1 Qwen3.8 Flash

    Verdict

    Llama-3.3 Nemotron Super 49B v1 vs Qwen3.8 Flash: the bottom line

    Llama-3.3 Nemotron Super 49B v1 offers significantly lower pricing, while Qwen3.8 Flash leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    Llama-3.3 Nemotron Super 49B v1 vs Qwen3.8 Flash FAQ

    Which is cheaper, Llama-3.3 Nemotron Super 49B v1 or Qwen3.8 Flash?

    As of August 30, 2026, Llama-3.3 Nemotron Super 49B v1 is 19% cheaper on blended LLM API pricing. Llama-3.3 Nemotron Super 49B v1 costs $0.10 per million input tokens and $0.40 per million output tokens ($0.50 blended 1M-in + 1M-out). Qwen3.8 Flash costs $0.15 / $0.47 per million tokens ($0.62 blended). Sources: https://build.nvidia.com/nvidia/llama-3_3-nemotron-super-49b-v1 and https://www.qwencloud.com/models/qwen3.8-flash. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Llama-3.3 Nemotron Super 49B v1 vs Qwen3.8 Flash cost per million tokens?

    Llama-3.3 Nemotron Super 49B v1 NVIDIA API pricing is $0.10 input and $0.40 output per million tokens via NVIDIA. Qwen3.8 Flash Qwen API pricing is $0.15 input and $0.47 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-3.3 Nemotron Super 49B v1 or Qwen3.8 Flash?

    Qwen3.8 Flash has a published SWE-bench Pro score of 62.5%. Llama-3.3 Nemotron Super 49B v1 does not have that eval on this page yet.

    What is the context window for Llama-3.3 Nemotron Super 49B v1 vs Qwen3.8 Flash?

    Llama-3.3 Nemotron Super 49B v1 supports a 131K token context window, while Qwen3.8 Flash supports 1M tokens. Qwen3.8 Flash 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 Nemotron Super 49B v1 or Qwen3.8 Flash?

    Qwen3.8 Flash leads on 1 of 1 shared benchmarks versus Llama-3.3 Nemotron Super 49B v1'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 Nemotron Super 49B v1 or Qwen3.8 Flash better for production use?

    Both Llama-3.3 Nemotron Super 49B v1 and Qwen3.8 Flash are production API models. For cost-sensitive production traffic, Llama-3.3 Nemotron Super 49B v1 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 Nemotron Super 49B v1 and Qwen3.8 Flash in my app?

    Yes. Call Llama-3.3 Nemotron Super 49B v1 through NVIDIA and Qwen3.8 Flash 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-3.3 Nemotron Super 49B v1 vs Qwen3.8 Flash pricing data?

    List rates are the latest published NVIDIA API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://build.nvidia.com/nvidia/llama-3_3-nemotron-super-49b-v1 and https://www.qwencloud.com/models/qwen3.8-flash. 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 Nemotron Super 49B v1 and Qwen3.8 Flash?

    Llama-3.3 Nemotron Super 49B v1 supports up to an unspecified number of output tokens per request, while Qwen3.8 Flash supports up to 131K 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 Nemotron Super 49B v1 or Qwen3.8 Flash?

    Neither Llama-3.3 Nemotron Super 49B v1 nor Qwen3.8 Flash has published throughput data on this page yet. 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 Nemotron Super 49B v1 vs Qwen3.8 Flash 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 Nemotron Super 49B v1 or Qwen3.8 Flash 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 Nemotron Super 49B v1 vs Qwen3.8 Flash pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Llama-3.3 Nemotron Super 49B v1 costs $0.10/M input and $0.40/M output. Qwen3.8 Flash costs $0.15/M input and $0.47/M output.

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

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