Decision support

Qwen-Image-Edit vs HunyuanImage 3.0

Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.

Benchmark results

  • Arena Text to Image

    Arena rating · Higher is better

    • Qwen-Image-Edit
      Not reported
    • HunyuanImage 3.0
      1152
      Arena #35CI 1148 to 1155
    Runs and sources
    Qwen-Image-Edit

    Not reported

    HunyuanImage 3.0
    • default115295% CI 1148 to 1155 · 175,293 votes
  • Arena Image Edit

    Arena rating · Higher is better

    • Qwen-Image-Edit
      1241
      Arena #41CI 1238 to 1244
    • HunyuanImage 3.0
      Not reported
    Runs and sources
    Qwen-Image-Edit
    • default124195% CI 1238 to 1244 · 2,000,722 votes
    HunyuanImage 3.0

    Not reported

Each model's best published result is shown; "Not reported" means no matched evaluation, not a score of zero. Arena and DeepSWE ranks are the leaderboards' own; other ranks are among catalogue models with a score. Results from different harnesses or settings are not directly comparable.

Arena ratings: Arena (lmarena-ai/leaderboard-dataset), licensed CC BY 4.0. Ratings come from pairwise human votes and are only comparable within one leaderboard; the interval is Arena's 95% confidence interval. Model names are matched to the Vertical Tabs catalog.

Model specifications

Release date
August 18, 2025
September 28, 2025
Context window
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Native context
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Max output tokens
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Knowledge cutoff
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Open weights
Open weights
Open weights
Parameter count
20.4B
83B

API pricing · USD per 1M tokens

Input
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—
Output
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Cached input
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Cache write
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Capabilities and modalities

Input modalities
text, image
text
Output modalities
image
image
Tool calling
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—
Reasoning option
—
—
Supported options
—
—
Capabilities
—
—

Architecture and availability

Architecture
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—
Model families
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Tokenizer
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—
Instruction format
—
—
License
Apache 2.0
tencent-hunyuan-community
Providers
0
0
Provider endpoints
0
0
Ollama variants
0
0
Metadata source
arena
ai-research

A dash means the field is not reported. Provider-specific performance and pricing may differ.

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