DeepSeek R1 Distill Llama 70B vs Step-3.5-Flash

    Comparison

    As of August 25, 2026, DeepSeek R1 Distill Llama 70B and Step-3.5-Flash have the same blended API cost at $0.50 per 1 million input plus 1 million output tokens. DeepSeek R1 Distill Llama 70B is $0.10 / $0.40 per million tokens versus Step-3.5-Flash at $0.10 / $0.40. Sources: https://api-docs.deepseek.com/quick_start/pricing and https://anotherwrapper.com/tools/llm-pricing

    Sources: DeepSeek API pricing (https://api-docs.deepseek.com/quick_start/pricing); AnotherWrapper LLM pricing (https://anotherwrapper.com/tools/llm-pricing)

    DeepSeek R1 Distill Llama 70B

    DeepSeek

    $0.50blended / 1M

    Input

    $0.10

    Output

    $0.40

    128K ctx|Open Source
    vs

    Step-3.5-Flash

    StepFun

    $0.50blended / 1M

    Input

    $0.10

    Output

    $0.40

    65.5K ctx|Open Source

    DeepSeek R1 Distill Llama 70B vs Step-3.5-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.

    DeepSeek R1 Distill Llama 70BStep-3.5-Flash

    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 priceDeepSeek R1 Distill Llama 70BStep-3.5-Flash
    Metric
    DeepSeek R1 Distill Llama 70B
    Step-3.5-Flash
    Provider
    Provider
    DeepSeek
    StepFun
    License
    Open Source
    Open Source
    Release Date
    2025-01-20
    2026-02-02
    Pricing (per 1M tokens)
    Input Price0%
    $0.10
    $0.10
    Output Price0%
    $0.40
    $0.40
    Blended (1M + 1M)
    $0.50
    $0.50
    Model Details
    Context Window
    128K
    65.5K
    Max Output Tokens
    128K
    8.2K
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    37 tok/s
    150 tok/s
    Benchmarks
    65.2%
    55.7%
    51.4%
    97.3%
    86.7%
    94.5%
    89.9%
    54.5%
    88.2%
    Benchmark Wins
    DeepSeek R1 Distill Llama 70B 0|1 Step-3.5-Flash

    Verdict

    DeepSeek R1 Distill Llama 70B vs Step-3.5-Flash: the bottom line

    DeepSeek R1 Distill Llama 70B offers significantly lower pricing, while Step-3.5-Flash leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    DeepSeek R1 Distill Llama 70B vs Step-3.5-Flash FAQ

    Which is cheaper, DeepSeek R1 Distill Llama 70B or Step-3.5-Flash?

    As of August 25, 2026, DeepSeek R1 Distill Llama 70B is 0% cheaper on blended LLM API pricing. DeepSeek R1 Distill Llama 70B costs $0.10 per million input tokens and $0.40 per million output tokens ($0.50 blended 1M-in + 1M-out). Step-3.5-Flash costs $0.10 / $0.40 per million tokens ($0.50 blended). Sources: https://api-docs.deepseek.com/quick_start/pricing and https://anotherwrapper.com/tools/llm-pricing. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does DeepSeek R1 Distill Llama 70B vs Step-3.5-Flash cost per million tokens?

    DeepSeek R1 Distill Llama 70B DeepSeek API pricing is $0.10 input and $0.40 output per million tokens via DeepSeek. Step-3.5-Flash StepFun API pricing is $0.10 input and $0.40 output per million tokens via StepFun. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, DeepSeek R1 Distill Llama 70B or Step-3.5-Flash?

    Step-3.5-Flash has a published SWE-bench Verified score of 74.4%. DeepSeek R1 Distill Llama 70B does not have that eval on this page yet.

    What is the context window for DeepSeek R1 Distill Llama 70B vs Step-3.5-Flash?

    DeepSeek R1 Distill Llama 70B supports a 128K token context window, while Step-3.5-Flash supports 66K tokens. DeepSeek R1 Distill Llama 70B 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 R1 Distill Llama 70B or Step-3.5-Flash?

    Step-3.5-Flash leads on 1 of 1 shared benchmarks versus DeepSeek R1 Distill Llama 70B'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 DeepSeek R1 Distill Llama 70B or Step-3.5-Flash better for production use?

    Both DeepSeek R1 Distill Llama 70B and Step-3.5-Flash are production API models. For cost-sensitive production traffic, DeepSeek R1 Distill Llama 70B 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 R1 Distill Llama 70B and Step-3.5-Flash in my app?

    Yes. Call DeepSeek R1 Distill Llama 70B through DeepSeek and Step-3.5-Flash through StepFun 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 R1 Distill Llama 70B vs Step-3.5-Flash pricing data?

    List rates are the latest published DeepSeek API pricing and StepFun API pricing, quoted per million tokens. Official rate sheets: https://api-docs.deepseek.com/quick_start/pricing and https://anotherwrapper.com/tools/llm-pricing. 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 R1 Distill Llama 70B and Step-3.5-Flash?

    DeepSeek R1 Distill Llama 70B supports up to 128K output tokens per request, while Step-3.5-Flash supports up to 8K 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 R1 Distill Llama 70B or Step-3.5-Flash?

    DeepSeek R1 Distill Llama 70B runs at approximately 37 tokens/second while Step-3.5-Flash runs at 150 tokens/second. Step-3.5-Flash 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 DeepSeek R1 Distill Llama 70B vs Step-3.5-Flash comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open DeepSeek R1 Distill Llama 70B or Step-3.5-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.

    DeepSeek R1 Distill Llama 70B vs Step-3.5-Flash pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. DeepSeek R1 Distill Llama 70B costs $0.10/M input and $0.40/M output. Step-3.5-Flash costs $0.10/M input and $0.40/M output.

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

    The index

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