Qwen2.5 72B Instruct vs Qwen3.7 Flash

    Comparison

    As of August 20, 2026, Qwen3.7 Flash is 79% cheaper per million tokens than Qwen2.5 72B Instruct. Qwen2.5 72B Instruct is $0.35 / $0.40 per million input/output tokens versus Qwen3.7 Flash at $0.03 / $0.13. Sources: https://bailian.console.aliyun.com/ and https://www.qwencloud.com/models/qwen3.7-flash

    Sources: Qwen pricing (https://bailian.console.aliyun.com/); Qwen pricing (https://www.qwencloud.com/models/qwen3.7-flash)

    Qwen2.5 72B Instruct

    Qwen

    $0.75blended / 1M

    Input

    $0.35

    Output

    $0.40

    131.1K ctx|Open Source
    79%
    cheaper
    Better value

    Qwen3.7 Flash

    Qwen

    $0.16blended / 1M

    Input

    $0.03

    Output

    $0.13

    1M ctx|Proprietary
    Save $0.59 per million tokens by choosing Qwen3.7 Flash over Qwen2.5 72B Instruct.

    Qwen2.5 72B Instruct vs Qwen3.7 Flash comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    Qwen2.5 72B Instruct
    Qwen3.7 Flash
    Provider
    Provider
    Qwen
    Qwen
    License
    Open Source
    Proprietary
    Release Date
    2024-09-19
    2026-07-27
    Pricing (per 1M tokens)
    Input Price+1067%
    $0.35
    $0.03
    Output Price+208%
    $0.40
    $0.13
    Blended (1M + 1M)
    $0.75
    $0.16
    Model Details
    Context Window
    131.1K
    1M
    Max Output Tokens
    8.2K
    131K
    Knowledge Cutoff
    2024-09-24
    N/A
    Throughput
    10 tok/s
    N/A
    Benchmarks
    49%
    49.1%
    82.3%
    84.1%
    8.1%
    86.7%
    84.2%
    86.6%
    83.1%
    81.6%
    81.2%
    95.8%
    52.3%
    88.2%
    71.1%
    86.8%
    93.5%
    75.1%
    Benchmark Wins
    Qwen2.5 72B Instruct 0|2 Qwen3.7 Flash

    Verdict

    Qwen2.5 72B Instruct vs Qwen3.7 Flash: the bottom line

    Qwen3.7 Flash offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.

    Qwen2.5 72B Instruct vs Qwen3.7 Flash FAQ

    Which is cheaper, Qwen2.5 72B Instruct or Qwen3.7 Flash?

    As of August 20, 2026, Qwen3.7 Flash is 79% cheaper on blended LLM API pricing. Qwen3.7 Flash costs $0.03 per million input tokens and $0.13 per million output tokens ($0.16 blended 1M-in + 1M-out). Qwen2.5 72B Instruct costs $0.35 / $0.40 per million tokens ($0.75 blended). Sources: https://bailian.console.aliyun.com/ and https://www.qwencloud.com/models/qwen3.7-flash. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Qwen2.5 72B Instruct vs Qwen3.7 Flash cost per million tokens?

    Qwen2.5 72B Instruct Qwen API pricing is $0.35 input and $0.40 output per million tokens via Qwen. Qwen3.7 Flash Qwen API pricing is $0.03 input and $0.13 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, Qwen2.5 72B Instruct or Qwen3.7 Flash?

    Qwen2.5 72B Instruct has a published LiveCodeBench score of 55.5%. Qwen3.7 Flash does not have that eval on this page yet.

    What is the context window for Qwen2.5 72B Instruct vs Qwen3.7 Flash?

    Qwen2.5 72B Instruct supports a 131K token context window, while Qwen3.7 Flash supports 1M tokens. Qwen3.7 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, Qwen2.5 72B Instruct or Qwen3.7 Flash?

    Qwen3.7 Flash leads on 2 of 2 shared benchmarks versus Qwen2.5 72B Instruct'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 Qwen2.5 72B Instruct or Qwen3.7 Flash better for production use?

    Both Qwen2.5 72B Instruct and Qwen3.7 Flash are production API models. For cost-sensitive production traffic, Qwen3.7 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 Qwen2.5 72B Instruct and Qwen3.7 Flash in my app?

    Yes. Call Qwen2.5 72B Instruct through Qwen and Qwen3.7 Flash 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 Qwen2.5 72B Instruct vs Qwen3.7 Flash pricing data?

    List rates are the latest published Qwen API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://bailian.console.aliyun.com/ and https://www.qwencloud.com/models/qwen3.7-flash. 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 Qwen2.5 72B Instruct and Qwen3.7 Flash?

    Qwen2.5 72B Instruct supports up to 8K output tokens per request, while Qwen3.7 Flash supports up to 131K 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, Qwen2.5 72B Instruct or Qwen3.7 Flash?

    Qwen2.5 72B Instruct has a measured throughput of approximately 10 tokens/second. Throughput data for Qwen3.7 Flash 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 Qwen2.5 72B Instruct vs Qwen3.7 Flash comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Qwen2.5 72B Instruct or Qwen3.7 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.

    Qwen2.5 72B Instruct vs Qwen3.7 Flash pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Qwen2.5 72B Instruct costs $0.35/M input and $0.40/M output. Qwen3.7 Flash costs $0.03/M input and $0.13/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.

    Baidu

    1 models

    Inception

    1 models

    inclusionAI

    1 models

    LG AI Research

    1 models

    Nous Research

    1 models

    Sakana AI

    1 models

    StepFun

    1 models

    Tencent

    1 models

    Thinking Machines

    1 models

    Unisound

    1 models

    Upstage

    1 models

    Next step

    You found the model. Now ship the product.

    Auth, billing, and the API layer are already decided. Fork 8 finished AI apps, or have us build the first version with you.