Granite 3.3 8B Instruct vs Step-3.5-Flash

    Comparison

    As of August 25, 2026, Step-3.5-Flash is 50% cheaper per million tokens than Granite 3.3 8B Instruct. Granite 3.3 8B Instruct is $0.50 / $0.50 per million input/output tokens versus Step-3.5-Flash at $0.10 / $0.40. Source: https://anotherwrapper.com/tools/llm-pricing

    Source: AnotherWrapper LLM pricing (https://anotherwrapper.com/tools/llm-pricing)

    Granite 3.3 8B Instruct

    IBM

    $1.00blended / 1M

    Input

    $0.50

    Output

    $0.50

    128K ctx|Open Source
    50%
    cheaper
    Better value

    Step-3.5-Flash

    StepFun

    $0.50blended / 1M

    Input

    $0.10

    Output

    $0.40

    65.5K ctx|Open Source
    Save $0.50 per million tokens by choosing Step-3.5-Flash over Granite 3.3 8B Instruct.

    Granite 3.3 8B Instruct vs Step-3.5-Flash comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    Granite 3.3 8B Instruct
    Step-3.5-Flash
    Provider
    Provider
    IBM
    StepFun
    License
    Open Source
    Open Source
    Release Date
    2025-04-16
    2026-02-02
    Pricing (per 1M tokens)
    Input Price+400%
    $0.50
    $0.10
    Output Price+25%
    $0.50
    $0.40
    Blended (1M + 1M)
    $1.00
    $0.50
    Model Details
    Context Window
    128K
    65.5K
    Max Output Tokens
    8.2K
    8.2K
    Knowledge Cutoff
    2024-04-01
    N/A
    Throughput
    50 tok/s
    150 tok/s
    Benchmarks
    74.8%
    97.3%
    81.2%
    69.0%
    65.5%
    89.7%
    57.6%
    88.5%
    59.4%
    80.9%
    26.2%
    88.2%
    66.9%

    Verdict

    Granite 3.3 8B Instruct vs Step-3.5-Flash: the bottom line

    Both models are closely matched on benchmarks. Step-3.5-Flash has the pricing advantage, making it the better value unless Granite 3.3 8B Instruct's specific capabilities are critical to your workflow.

    Granite 3.3 8B Instruct vs Step-3.5-Flash FAQ

    Which is cheaper, Granite 3.3 8B Instruct or Step-3.5-Flash?

    As of August 25, 2026, Step-3.5-Flash is 50% cheaper on blended LLM API pricing. Step-3.5-Flash costs $0.10 per million input tokens and $0.40 per million output tokens ($0.50 blended 1M-in + 1M-out). Granite 3.3 8B Instruct costs $0.50 / $0.50 per million tokens ($1.00 blended). Sources: https://anotherwrapper.com/tools/llm-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 Granite 3.3 8B Instruct vs Step-3.5-Flash cost per million tokens?

    Granite 3.3 8B Instruct IBM API pricing is $0.50 input and $0.50 output per million tokens via IBM. 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, Granite 3.3 8B Instruct or Step-3.5-Flash?

    Step-3.5-Flash has a published SWE-bench Verified score of 74.4%. Granite 3.3 8B Instruct does not have that eval on this page yet.

    What is the context window for Granite 3.3 8B Instruct vs Step-3.5-Flash?

    Granite 3.3 8B Instruct supports a 128K token context window, while Step-3.5-Flash supports 66K tokens. Granite 3.3 8B Instruct 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, Granite 3.3 8B Instruct or Step-3.5-Flash?

    Shared benchmark scores for Granite 3.3 8B Instruct and Step-3.5-Flash are still limited. Check the comparison table for the evals each model has published. 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 Granite 3.3 8B Instruct or Step-3.5-Flash better for production use?

    Both Granite 3.3 8B Instruct and Step-3.5-Flash are production API models. For cost-sensitive production traffic, Step-3.5-Flash 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 Granite 3.3 8B Instruct and Step-3.5-Flash in my app?

    Yes. Call Granite 3.3 8B Instruct through IBM 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 Granite 3.3 8B Instruct vs Step-3.5-Flash pricing data?

    List rates are the latest published IBM API pricing and StepFun API pricing, quoted per million tokens. Official rate sheets: https://anotherwrapper.com/tools/llm-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 Granite 3.3 8B Instruct and Step-3.5-Flash?

    Granite 3.3 8B Instruct supports up to 8K 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, Granite 3.3 8B Instruct or Step-3.5-Flash?

    Granite 3.3 8B Instruct runs at approximately 50 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 Granite 3.3 8B Instruct 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 Granite 3.3 8B Instruct 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.

    Granite 3.3 8B Instruct vs Step-3.5-Flash pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Granite 3.3 8B Instruct costs $0.50/M input and $0.50/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

    All Large Language Models

    280 models across 33 providers. Search or jump to a lab — every model page stays linked here.

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    1 models

    IBM

    0 models

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    1 models

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    1 models

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    1 models

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    1 models

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    1 models

    StepFun

    0 models

    Tencent

    1 models

    Thinking Machines

    1 models

    Unisound

    1 models

    Upstage

    1 models

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