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Model Comparison

Qwen2.5 72B Instruct vs Qwen Image 3Which Is Better in 2026?

Qwen2.5 72B Instruct logoQwen•Qwen: Qwen Image 3 logoQwen

Qwen2.5 72B Instruct vs Qwen Image 3: which should you choose in 2026?

Qwen2.5 72B Instruct (by Qwen) and Qwen Image 3 (by Qwen) are compared below. Here is how they stack up on benchmarks, price, and capabilities, and which one to pick in 2026.

There are not enough shared, protocol-compatible benchmark results to declare a performance leader.

Choose Qwen2.5 72B Instruct if…

  • • your own prompt tests favor its output; shared comparable evidence does not identify a unique advantage

Choose Qwen Image 3 if…

  • • you need image inputs
  • • you need image generation

The benchmark count includes only results measured with a matching benchmark version and protocol. Arena scores are shown separately. Missing, preliminary, and incompatible data is not treated as a controlled win. Published point-score comparisons are labeled separately when protocol details are incomplete. For text-output models, the verdict also compares token pricing and context windows.

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Performance benchmarks

Every value links to its source. A dash means that no reviewed result is available for that exact model and protocol.

Qwen2.5 72B Instruct and Qwen Image 3 benchmark results
BenchmarkQwen2.5 72B InstructQwen Image 3
AutomationBench-AA

A 657-task benchmark of multi-step work across simulated SaaS applications in six business domains. The Artificial Analysis protocol reports a guardrail-aware score and is distinct from both the public Zapier split and the unrelated dynamic AutoBench framework.

Guardrail-aware score

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BrowseComp

A benchmark of difficult, verifiable information-seeking questions designed to measure an agent's ability to locate hard-to-find facts through web browsing.

Accuracy

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OSWorld-Verified

A verified computer-use benchmark in which multimodal agents operate desktop applications and are graded from the resulting environment state.

Mean task reward

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SWE-Bench Verified

A human-validated subset of real GitHub issues used to measure whether a coding agent can produce repository patches that resolve the associated tests.

Resolved

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Terminal-Bench 2.1

Version 2.1 of the benchmark for completing realistic tasks in terminal environments. Harness, resource limits, and attempt count are part of the protocol.

Mean task success

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AutoBench

A dynamic LLM evaluation framework in which models generate questions, answer them, and participate in reciprocal peer assessment. AutoBench is distinct from Zapier's AutomationBench.

Weighted peer-assessment score

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GPQA Diamond

The highest-quality subset of Graduate-Level Google-Proof Q&A, designed to test expert-level scientific reasoning in biology, physics, and chemistry.

Accuracy

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Humanity's Last Exam

A 2,500-question expert-level benchmark spanning dozens of academic fields. Tool-assisted and no-tools results are separate protocols and must not be merged.

Accuracy

——

Benchmark sources

    Reviewed evidence last updated 2026-08-09.

    Pricing, capabilities, and model facts

    Qwen2.5 72B Instruct and Qwen Image 3 model facts
    FeatureQwen2.5 72B InstructQwen Image 3
    Context & model facts
    DeveloperQwenQwen
    API providerQwen2.5 72B InstructQwen
    Input context32,768 tokens65,536 tokens
    Maximum output16,384 tokens—
    Released——
    Added to WritingmateSep 19, 2024Aug 5, 2026
    LicenseNot availableNot available
    Knowledge cutoff2024-06-30—
    Capabilities
    InputsTextText, Image
    OutputsTextImage
    Provider endpoint accepts tool parametersYesNo
    ReasoningNoNo
    VisionNoYes
    Image GenerationNoYes
    Video GenerationNoNo
    API performance
    p95 latencyNot measuredNot measured
    Output throughputNot measuredNot measured
    Writingmate shows API performance only when both models have enough observations from the same measurement window, prompt profile, and provider. Third-party latency values are not copied into this table.

    Data sources

    • Writingmate model catalog (pricing, limits, and availability)

    Catalog data last updated Aug 5, 2026.

    Qwen2.5 72B Instruct vs Qwen Image 3 FAQ

    Which is better, Qwen2.5 72B Instruct or Qwen Image 3?

    There are not enough shared, protocol-compatible benchmark results to declare a performance leader.

    Which model is cheaper to use through an API?

    A comparable blended token price is not available for both models. Check the API pricing rows for the values that are currently published.

    Which model supports more context?

    Comparable context-window data is not available for both models.

    Can I switch between Qwen2.5 72B Instruct and Qwen Image 3?

    Yes. Use the model selector on this page to open any current Writingmate model comparison. You can also run the same prompt with both models in Writingmate.