Decision support

Qwen3.5 Plus vs Composer 1.5

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

Benchmark results

  • FrontierMath-2025-02-28-Private

    Best published score · Higher is better

    • Qwen3.5 Plus
      21.0%
      #23 of 58
    • Composer 1.5
      Not reported
    Runs and sources
    Qwen3.5 Plus
    • default21.0%
    Composer 1.5

    Not reported

  • FrontierMath-Tier-4-2025-07-01-Private

    Best published score · Higher is better

    • Qwen3.5 Plus
      2.1%
      #32 of 46
    • Composer 1.5
      Not reported
    Runs and sources
    Qwen3.5 Plus
    • default2.1%
    Composer 1.5

    Not reported

  • GPQA diamond

    Best published score · Higher is better

    • Qwen3.5 Plus
      84.8%
      #71 of 161
    • Composer 1.5
      Not reported
    Runs and sources
    Qwen3.5 Plus
    • default84.8%
    Composer 1.5

    Not reported

  • OTIS Mock AIME 2024-2025

    Best published score · Higher is better

    • Qwen3.5 Plus
      86.7%
      #66 of 158
    • Composer 1.5
      Not reported
    Runs and sources
    Qwen3.5 Plus
    • default86.7%
    Composer 1.5

    Not reported

  • SimpleQA Verified

    Best published score · Higher is better

    • Qwen3.5 Plus
      25.4%
      #71 of 87
    • Composer 1.5
      Not reported
    Runs and sources
    Qwen3.5 Plus
    • default25.4%
    Composer 1.5

    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.

Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.

Model specifications

Release date
February 16, 2026
February 9, 2026
Context window
1M
—
Native context
—
—
Max output tokens
65,536
—
Knowledge cutoff
2025-04
—
Open weights
Closed
Closed
Parameter count
—
—

API pricing · USD per 1M tokens

Input
—
—
Output
—
—
Cached input
—
—
Cache write
—
—

Capabilities and modalities

Input modalities
text, image, video
text
Output modalities
text
text
Tool calling
Supported
—
Reasoning option
Supported
—
Supported options
tools, reasoning, temperature
—
Capabilities
—
—

Architecture and availability

Architecture
—
—
Model families
—
—
Tokenizer
—
—
Instruction format
—
—
License
—
proprietary
Providers
0
0
Provider endpoints
0
0
Ollama variants
0
0
Metadata source
ai-research
curated

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

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