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Qwen3.7 Flash

qwen3.7-flash

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world... Built by Qwen.

Prices updated

Input price

$0.03

per 1M tokens · Standard

Output price

$0.13

per 1M tokens · Standard

Input limit

1M

tokens

Output limit

66K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF
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Qwen3.7 Flash price history

2 price records since 9/25/2026

Qwen3.7 Flash cost calculator

Input20M tokens
Output5M tokens

$1.25/month

Standard pricing

    Overview

    What is Qwen3.7 Flash?

    Qwen3.7 Flash is a text & reasoning and vision model from Qwen. Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world... Its 1M context window and $0.03 input price make it a candidate for cost-sensitive, high-throughput applications.

    Image understandingDocument analysisContent workflowsClassification

    Rates

    Qwen3.7 Flash pricing

    Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.

    Input · Standard

    $0.03

    Per 1M tokens

    Cached input · Standard

    $0.0060

    Per 1M tokens

    Capabilities

    Qwen3.7 Flash Tools

    Tools available when using Qwen3.7 Flash through supported provider APIs.

    Function calling

    Supported

    Structured outputs

    Not supported

    JSON mode

    Supported

    Reasoning

    Supported

    Built-in web search

    Not supported

    Log probabilities

    Supported

    Deterministic seed

    Supported

    Parallel tool calls

    Not supported

    Prompt caching

    Supported

    Strengths and limitations

    Strengths

    • Low input cost at $0.03 per million tokens suits high-volume workloads.
    • 1M context supports large documents, repositories and extended conversations.
    • Supports text & reasoning and vision workloads in one model.

    Limitations

    • Generated tokens cost 4× more than input tokens, which matters for verbose responses.
    • Large context capacity does not guarantee consistent retrieval across the entire prompt.
    • Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.

    Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.

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    Frequently asked questions about Qwen3.7 Flash

    Qwen3.7 Flash is a text & reasoning and vision model from Qwen. Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world...