Gemini 1.5 Flash 8B vs Qwen2.5 32B Instruct

    Comparison

    As of August 30, 2026, Gemini 1.5 Flash 8B is 89% cheaper per million tokens than Qwen2.5 32B Instruct. Gemini 1.5 Flash 8B is $0.07 / $0.30 per million input/output tokens versus Qwen2.5 32B Instruct at $0.70 / $2.80. Sources: https://ai.google.dev/gemini-api/docs/pricing and https://www.alibabacloud.com/help/en/model-studio/pricing

    Sources: Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing); Qwen pricing (https://www.alibabacloud.com/help/en/model-studio/pricing)

    Better value

    Gemini 1.5 Flash 8B

    Google

    $0.37blended / 1M

    Input

    $0.07

    Output

    $0.30

    1M ctx|Proprietary
    89%
    cheaper

    Qwen2.5 32B Instruct

    Qwen

    $3.50blended / 1M

    Input

    $0.70

    Output

    $2.80

    131.1K ctx|Open Source
    Save $3.13 per million tokens by choosing Gemini 1.5 Flash 8B over Qwen2.5 32B Instruct.

    Gemini 1.5 Flash 8B vs Qwen2.5 32B 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

    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 priceGemini 1.5 Flash 8BQwen2.5 32B Instruct
    Metric
    Gemini 1.5 Flash 8B
    Qwen2.5 32B Instruct
    Provider
    Provider
    Google
    Qwen
    License
    Proprietary
    Open Source
    Release Date
    2024-03-15
    2024-09-19
    Pricing (per 1M tokens)
    Input Price-90%
    $0.07
    $0.70
    Output Price-89%
    $0.30
    $2.80
    Blended (1M + 1M)
    $0.37
    $3.50
    Model Details
    Context Window
    1M
    131.1K
    Max Output Tokens
    8.2K
    N/A
    Knowledge Cutoff
    2024-10-01
    N/A
    Throughput
    150 tok/s
    N/A
    Benchmarks
    38.4%
    49.5%
    46.1%
    7.4%
    77.2%
    83.3%
    53.7%
    87.1%
    85.2%
    74.4%
    88.4%
    58.7%
    83.1%
    70.4%
    84.5%
    86.4%
    95.9%
    32.8%
    54.7%
    84%
    58.7%
    69%
    83.9%
    80.9%
    54.7%
    75.4%
    75.5%
    44.1%
    57.8%
    40.9%
    66.2%
    72.6%
    92.6%
    Benchmark Wins
    Gemini 1.5 Flash 8B 1|5 Qwen2.5 32B Instruct

    Verdict

    Gemini 1.5 Flash 8B vs Qwen2.5 32B Instruct: the bottom line

    Gemini 1.5 Flash 8B offers significantly lower pricing, while Qwen2.5 32B Instruct leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    Gemini 1.5 Flash 8B vs Qwen2.5 32B Instruct FAQ

    Which is cheaper, Gemini 1.5 Flash 8B or Qwen2.5 32B Instruct?

    As of August 30, 2026, Gemini 1.5 Flash 8B is 89% cheaper on blended LLM API pricing. Gemini 1.5 Flash 8B costs $0.07 per million input tokens and $0.30 per million output tokens ($0.37 blended 1M-in + 1M-out). Qwen2.5 32B Instruct costs $0.70 / $2.80 per million tokens ($3.50 blended). Sources: https://ai.google.dev/gemini-api/docs/pricing and https://www.alibabacloud.com/help/en/model-studio/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Gemini 1.5 Flash 8B vs Qwen2.5 32B Instruct cost per million tokens?

    Gemini 1.5 Flash 8B Gemini API pricing is $0.07 input and $0.30 output per million tokens via Google. Qwen2.5 32B Instruct Qwen API pricing is $0.70 input and $2.80 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, Gemini 1.5 Flash 8B or Qwen2.5 32B Instruct?

    Qwen2.5 32B Instruct leads on HumanEval: Gemini 1.5 Flash 8B at 74.4% vs Qwen2.5 32B Instruct at 88.4%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.

    What is the context window for Gemini 1.5 Flash 8B vs Qwen2.5 32B Instruct?

    Gemini 1.5 Flash 8B supports a 1M token context window, while Qwen2.5 32B Instruct supports 131K tokens. Gemini 1.5 Flash 8B 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, Gemini 1.5 Flash 8B or Qwen2.5 32B Instruct?

    Qwen2.5 32B Instruct leads on 5 of 6 shared benchmarks versus Gemini 1.5 Flash 8B's 1 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 Gemini 1.5 Flash 8B or Qwen2.5 32B Instruct better for production use?

    Both Gemini 1.5 Flash 8B and Qwen2.5 32B Instruct are production API models. For cost-sensitive production traffic, Gemini 1.5 Flash 8B 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 Gemini 1.5 Flash 8B and Qwen2.5 32B Instruct in my app?

    Yes. Call Gemini 1.5 Flash 8B through Google and Qwen2.5 32B Instruct 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 Gemini 1.5 Flash 8B vs Qwen2.5 32B Instruct pricing data?

    List rates are the latest published Gemini API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://ai.google.dev/gemini-api/docs/pricing and https://www.alibabacloud.com/help/en/model-studio/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 Gemini 1.5 Flash 8B and Qwen2.5 32B Instruct?

    Gemini 1.5 Flash 8B supports up to 8K output tokens per request, while Qwen2.5 32B Instruct 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, Gemini 1.5 Flash 8B or Qwen2.5 32B Instruct?

    Gemini 1.5 Flash 8B has a measured throughput of approximately 150 tokens/second. Throughput data for Qwen2.5 32B Instruct 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 Gemini 1.5 Flash 8B vs Qwen2.5 32B Instruct comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Gemini 1.5 Flash 8B or Qwen2.5 32B 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.

    Gemini 1.5 Flash 8B vs Qwen2.5 32B Instruct pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Gemini 1.5 Flash 8B costs $0.07/M input and $0.30/M output. Qwen2.5 32B Instruct costs $0.70/M input and $2.80/M output.

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

    The index

    All Large Language Models

    343 models across 36 providers. Search or jump to a lab — every model page stays linked here.

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    2 models

    Inception

    1 models

    inclusionAI

    1 models

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    1 models

    Liquid AI

    2 models

    Nous Research

    1 models

    OpenBMB

    1 models

    Sakana AI

    1 models

    Sarvam AI

    2 models

    Tencent

    1 models

    Thinking Machines

    1 models

    Unisound

    1 models

    Upstage

    1 models

    Next step

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