DeepSeek VL2 Small vs Llama 3.2 11B Instruct

    Comparison

    As of August 30, 2026, Llama 3.2 11B Instruct is 94% cheaper per million tokens than DeepSeek VL2 Small. DeepSeek VL2 Small is $0.20 / $1.50 per million input/output tokens versus Llama 3.2 11B Instruct at $0.05 / $0.05. Sources: https://api-docs.deepseek.com/quick_start/pricing and https://llama.meta.com/

    Sources: DeepSeek API pricing (https://api-docs.deepseek.com/quick_start/pricing); Meta pricing (https://llama.meta.com/)

    DeepSeek VL2 Small

    DeepSeek

    $1.70blended / 1M

    Input

    $0.20

    Output

    $1.50

    129.3K ctx|Open Source
    94%
    cheaper
    Better value

    Llama 3.2 11B Instruct

    Meta

    $0.10blended / 1M

    Input

    $0.05

    Output

    $0.05

    128K ctx|Open Source
    Save $1.60 per million tokens by choosing Llama 3.2 11B Instruct over DeepSeek VL2 Small.

    DeepSeek VL2 Small vs Llama 3.2 11B 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

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

    Best score at each priceDeepSeek VL2 SmallLlama 3.2 11B Instruct
    Metric
    DeepSeek VL2 Small
    Llama 3.2 11B Instruct
    Provider
    Provider
    DeepSeek
    Meta
    License
    Open Source
    Open Source
    Release Date
    2024-12-13
    2024-09-25
    Pricing (per 1M tokens)
    Input Price+300%
    $0.20
    $0.05
    Output Price+2900%
    $1.50
    $0.05
    Blended (1M + 1M)
    $1.70
    $0.10
    Model Details
    Context Window
    129.3K
    128K
    Max Output Tokens
    N/A
    128K
    Knowledge Cutoff
    N/A
    2023-12-31
    Throughput
    N/A
    108 tok/s
    Benchmarks
    32.8%
    33%
    73%
    48%
    50.7%
    51.9%
    80%
    91.1%
    84.5%
    83.4%
    92.3%
    88.4%
    75.8%
    60.7%
    51.5%
    68.9%
    80.3%
    79.3%
    21.2%
    57%
    62.9%
    83.4%
    65.4%
    83.4%
    75.2%
    Benchmark Wins
    DeepSeek VL2 Small 3|2 Llama 3.2 11B Instruct

    Verdict

    DeepSeek VL2 Small vs Llama 3.2 11B Instruct: the bottom line

    Llama 3.2 11B Instruct offers significantly lower pricing, while DeepSeek VL2 Small leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    DeepSeek VL2 Small vs Llama 3.2 11B Instruct FAQ

    Which is cheaper, DeepSeek VL2 Small or Llama 3.2 11B Instruct?

    As of August 30, 2026, Llama 3.2 11B Instruct is 94% cheaper on blended LLM API pricing. Llama 3.2 11B Instruct costs $0.05 per million input tokens and $0.05 per million output tokens ($0.10 blended 1M-in + 1M-out). DeepSeek VL2 Small costs $0.20 / $1.50 per million tokens ($1.70 blended). Sources: https://api-docs.deepseek.com/quick_start/pricing and https://llama.meta.com/. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does DeepSeek VL2 Small vs Llama 3.2 11B Instruct cost per million tokens?

    DeepSeek VL2 Small DeepSeek API pricing is $0.20 input and $1.50 output per million tokens via Replicate. Llama 3.2 11B Instruct Meta API pricing is $0.05 input and $0.05 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, DeepSeek VL2 Small or Llama 3.2 11B Instruct?

    Neither DeepSeek VL2 Small nor Llama 3.2 11B 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 DeepSeek VL2 Small vs Llama 3.2 11B Instruct?

    DeepSeek VL2 Small supports a 129K token context window, while Llama 3.2 11B Instruct supports 128K tokens. DeepSeek VL2 Small 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, DeepSeek VL2 Small or Llama 3.2 11B Instruct?

    DeepSeek VL2 Small leads on 3 of 5 shared benchmarks versus Llama 3.2 11B 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 DeepSeek VL2 Small or Llama 3.2 11B Instruct better for production use?

    Both DeepSeek VL2 Small and Llama 3.2 11B Instruct are production API models. For cost-sensitive production traffic, Llama 3.2 11B 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 DeepSeek VL2 Small and Llama 3.2 11B Instruct in my app?

    Yes. Call DeepSeek VL2 Small through Replicate and Llama 3.2 11B 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 DeepSeek VL2 Small vs Llama 3.2 11B Instruct pricing data?

    List rates are the latest published DeepSeek API pricing and Meta API pricing, quoted per million tokens. Official rate sheets: https://api-docs.deepseek.com/quick_start/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 DeepSeek VL2 Small and Llama 3.2 11B Instruct?

    DeepSeek VL2 Small supports up to an unspecified number of output tokens per request, while Llama 3.2 11B 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, DeepSeek VL2 Small or Llama 3.2 11B Instruct?

    Llama 3.2 11B Instruct has a measured throughput of approximately 108 tokens/second. Throughput data for DeepSeek VL2 Small 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 DeepSeek VL2 Small vs Llama 3.2 11B Instruct comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open DeepSeek VL2 Small or Llama 3.2 11B 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.

    DeepSeek VL2 Small vs Llama 3.2 11B Instruct pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. DeepSeek VL2 Small costs $0.20/M input and $1.50/M output via Replicate. Llama 3.2 11B Instruct costs $0.05/M input and $0.05/M output.

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

    The index

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