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Four models, one page

Pick the models you are actually choosing between. Every row is scaled within itself, so a bar means something next to its neighbours and nothing across rows.

SpecificationQwen3.5-9BQwenClaude Opus 5Anthropic
ReleasedMar 10, 2026Jul 24, 2026
Context window262K1M
Max output262K128K
Input / 1M$0.1$5
Output / 1M$0.15$25
Cost per task$0.02$2.25
Arena Elo1,393
Serving providers55
Parameters9.7BUndisclosed
Licenceapache-2.0Proprietary
Capabilities
  • Reasoning
  • Tool use
  • Vision
  • Video in
  • Open weights
  • Reasoning
  • Tool use
  • Vision

Metrics side by side

Each row is scaled to the largest value in that row — bars compare within a row, never across rows

  • Qwen3.5-9B
  • Claude Opus 5
  • Intelligence Index

    Qwen3.5-9B
    21.8
    Claude Opus 5
    63.1
  • Coding Index

    Qwen3.5-9B
    28.7
    Claude Opus 5
    78.0
  • Agentic Index

    Qwen3.5-9B
    7.0
    Claude Opus 5
    59.2
  • Output speed

    Qwen3.5-9B
    42 t/s
    Claude Opus 5
    87 t/s
  • Context window

    Qwen3.5-9B
    262K
    Claude Opus 5
    1M
  • Latency · lower is better

    Qwen3.5-9B
    446ms
    Claude Opus 5
    1.12s
  • Blended price / 1M · lower is better

    Qwen3.5-9B
    $0.113
    Claude Opus 5
    $10
  • Cost per task · lower is better

    Qwen3.5-9B
    $0.02
    Claude Opus 5
    $2.25

Rows marked “lower is better” still draw a longer bar for a larger number — read the value, not just the length. Arena Elo is in the specification table above instead: it has no meaningful zero, so a bar would flatten the gaps.

View as table
MetricQwen3.5-9BClaude Opus 5
Intelligence Index21.863.1
Coding Index28.778.0
Agentic Index7.059.2
Output speed42 t/s87 t/s
Context window262K1M
Latency · lower is better446ms1.12s
Blended price / 1M · lower is better$0.113$10
Cost per task · lower is better$0.02$2.25

Evaluation scores

Percentage correct on a common 0–100% scale

  • Qwen3.5-9B
  • Claude Opus 5
  • GPQA Diamond

    Qwen3.5-9B
    80.6%
    Claude Opus 5
    93.2%
  • Humanity's Last Exam

    Qwen3.5-9B
    14.9%
    Claude Opus 5
    54.9%
  • SciCode

    Qwen3.5-9B
    27.5%
    Claude Opus 5
    55.7%
  • τ²-bench

    Qwen3.5-9B
    86.8%
    Claude Opus 5
    42.1%
  • Terminal-Bench Hard

    Qwen3.5-9B
    24.2%
    Claude Opus 5not measured
  • AA-LCR long context

    Qwen3.5-9B
    65.3%
    Claude Opus 5
    75.7%

A missing bar means that evaluation was not run for that model — it is not a zero.

View as table
EvaluationQwen3.5-9BClaude Opus 5
GPQA Diamond80.6%93.2%
Humanity's Last Exam14.9%54.9%
SciCode27.5%55.7%
τ²-bench86.8%42.1%
Terminal-Bench Hard24.2%
LiveCodeBench
AA-LCR long context65.3%75.7%
AIME 2025

Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).