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    Qwen/Qwen-3-Coder

    Model Card

    Here's a benchmark table which compares various AI models on the SWE-bench Verified software engineering benchmark:

    BenchmarksQwen3-Coder 480B-A35B-InstructKimi-K2 InstructDeepSeek-V3 0324Claude Sonnet-4GPT-4.1
    Agentic Coding
    Terminal-Bench37.530.02.535.525.3
    SWE-bench Verified69.6––70.4–
    └─ w/ OpenHands, 500 turns67.065.438.868.048.6
    └─ w/ OpenHands, 100 turns–65.8–72.763.8
    └─ w/ Private Scaffolding26.322.313.027.7–
    SWE-bench Live54.747.313.053.331.5
    SWE-bench Multilingual25.819.37.524.8–
    Multi-SWE-bench mini27.020.77.025.0–
    Multi-SWE-bench flash60.856.056.956.452.4
    Aider-Polyglot31.125.212.831.116.5
    Spider2–––––
    Agentic Browser Use
    WebArena49.947.440.051.144.3
    Mind2Web55.842.736.047.449.6
    Agentic Tool Use
    BFCL-v368.765.264.773.362.9
    TAU-Bench Retail77.570.759.180.5–
    TAU-Bench Airline60.053.540.060.0–

    Benchmark Glossary

    • Terminal-Bench – Evaluates model's ability to perform multi-step coding tasks in a terminal.
    • SWE-bench Verified – Measures end-to-end software engineering problem-solving with test verification.
    • SWE-bench Live – Real-time coding and debugging benchmark for software engineering tasks.
    • SWE-bench Multilingual – Tests coding and debugging tasks across multiple programming languages.
    • Multi-SWE-bench (mini/flash) – Aggregated SWE-bench tasks in smaller or faster evaluation modes.
    • Aider-Polyglot – Assesses multi-language code editing and refactoring using Aider framework.
    • Spider2 – Evaluates complex SQL generation and query understanding.
    • WebArena – Benchmarks model’s ability to perform real-world web browsing tasks agentically.
    • Mind2Web – Measures structured information extraction from web pages.
    • BFCL-v3 – Assesses agentic tool use for file and command-line tasks.
    • TAU-Bench (Retail/Airline) – Measures task automation and reasoning using simulated business scenarios.

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    256K tokens
    $2 per million
    $2 per million
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