Gemini 3.7 Flash vs Qwen3 VL 8B Thinking

    Comparison

    As of August 20, 2026, Qwen3 VL 8B Thinking is 50% cheaper per million tokens than Gemini 3.7 Flash. Gemini 3.7 Flash is $0.75 / $3.75 per million input/output tokens versus Qwen3 VL 8B Thinking at $0.18 / $2.09. Sources: https://ai.google.dev/gemini-api/docs/pricing and https://bailian.console.aliyun.com/

    Sources: Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing); Qwen pricing (https://bailian.console.aliyun.com/)

    Gemini 3.7 Flash

    Google

    $4.50blended / 1M

    Input

    $0.75

    Output

    $3.75

    1M ctx|Proprietary
    50%
    cheaper
    Better value

    Qwen3 VL 8B Thinking

    Qwen

    $2.27blended / 1M

    Input

    $0.18

    Output

    $2.09

    262.1K ctx|Open Source
    Save $2.23 per million tokens by choosing Qwen3 VL 8B Thinking over Gemini 3.7 Flash.

    Gemini 3.7 Flash vs Qwen3 VL 8B Thinking comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    Gemini 3.7 Flash
    Qwen3 VL 8B Thinking
    Provider
    Provider
    Google
    Qwen
    License
    Proprietary
    Open Source
    Release Date
    2026-08-13
    2025-09-22
    Pricing (per 1M tokens)
    Input Price+317%
    $0.75
    $0.18
    Output Price+79%
    $3.75
    $2.09
    Blended (1M + 1M)
    $4.50
    $2.27
    Model Details
    Context Window
    1M
    262.1K
    Max Output Tokens
    65.5K
    262.1K
    Knowledge Cutoff
    2026-03-31
    N/A
    Throughput
    12.65240051066044 tok/s
    N/A
    Benchmarks
    69.9%
    94.8%
    65.5%
    71.2%
    49.6%
    83.2%
    33.9%
    60.4%
    88.7%
    53%
    97.2%
    80.3%
    85.2%
    89.0%
    84.9%
    63%
    68.7%
    76.3%
    59.9%
    85.9%
    95.3%
    71.3%
    46.8%
    34%
    50.8%
    53.6%
    60.6%
    69.5%
    82.1%
    85.4%
    55.8%
    62.7%
    53.4%
    83.9%
    75.1%
    87.5%
    90.1%
    77.3%
    70.7%
    88.8%
    74.1%
    75.3%
    97%
    76.8%
    75.1%
    69%
    81.9%
    39.8%
    47.9%
    47.5%
    73.5%
    49.2%
    93.6%
    65.9%
    51.2%
    74.7%
    71.8%
    72.8%
    79.4%
    85.5%
    Benchmark Wins
    Gemini 3.7 Flash 5|0 Qwen3 VL 8B Thinking

    Verdict

    Gemini 3.7 Flash vs Qwen3 VL 8B Thinking: the bottom line

    Qwen3 VL 8B Thinking offers significantly lower pricing, while Gemini 3.7 Flash leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    Gemini 3.7 Flash vs Qwen3 VL 8B Thinking FAQ

    Which is cheaper, Gemini 3.7 Flash or Qwen3 VL 8B Thinking?

    As of August 20, 2026, Qwen3 VL 8B Thinking is 50% cheaper on blended LLM API pricing. Qwen3 VL 8B Thinking costs $0.18 per million input tokens and $2.09 per million output tokens ($2.27 blended 1M-in + 1M-out). Gemini 3.7 Flash costs $0.75 / $3.75 per million tokens ($4.50 blended). Sources: https://ai.google.dev/gemini-api/docs/pricing and https://bailian.console.aliyun.com/. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Gemini 3.7 Flash vs Qwen3 VL 8B Thinking cost per million tokens?

    Gemini 3.7 Flash Gemini API pricing is $0.75 input and $3.75 output per million tokens via Google. Qwen3 VL 8B Thinking Qwen API pricing is $0.18 input and $2.09 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 3.7 Flash or Qwen3 VL 8B Thinking?

    Gemini 3.7 Flash has a published SWE-bench Verified score of 80.8%. Qwen3 VL 8B Thinking does not have that eval on this page yet.

    What is the context window for Gemini 3.7 Flash vs Qwen3 VL 8B Thinking?

    Gemini 3.7 Flash supports a 1M token context window, while Qwen3 VL 8B Thinking supports 262K tokens. Gemini 3.7 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, Gemini 3.7 Flash or Qwen3 VL 8B Thinking?

    Gemini 3.7 Flash leads on 5 of 5 shared benchmarks versus Qwen3 VL 8B Thinking'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 Gemini 3.7 Flash or Qwen3 VL 8B Thinking better for production use?

    Both Gemini 3.7 Flash and Qwen3 VL 8B Thinking are production API models. For cost-sensitive production traffic, Qwen3 VL 8B Thinking 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 3.7 Flash and Qwen3 VL 8B Thinking in my app?

    Yes. Call Gemini 3.7 Flash through Google and Qwen3 VL 8B Thinking 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 3.7 Flash vs Qwen3 VL 8B Thinking 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://bailian.console.aliyun.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 Gemini 3.7 Flash and Qwen3 VL 8B Thinking?

    Gemini 3.7 Flash supports up to 66K output tokens per request, while Qwen3 VL 8B Thinking supports up to 262K 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 3.7 Flash or Qwen3 VL 8B Thinking?

    Gemini 3.7 Flash has a measured throughput of approximately 12.65240051066044 tokens/second. Throughput data for Qwen3 VL 8B Thinking 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 3.7 Flash vs Qwen3 VL 8B Thinking comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Gemini 3.7 Flash or Qwen3 VL 8B Thinking 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 3.7 Flash vs Qwen3 VL 8B Thinking pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Gemini 3.7 Flash costs $0.75/M input and $3.75/M output. Qwen3 VL 8B Thinking costs $0.18/M input and $2.09/M output.

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

    The index

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