Benchmarks

Compare AI models

Pick two models to see release dates, benchmark scores, and community ratings side by side.

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Provider
Alibaba Qwen
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Out yet?
Yes
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Status
Available
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Release date
Apr 1, 2026
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Agentic?BenchLM.ai's score for multi-step agentic work - planning, tool use, and acting autonomously, normalized 0–100 across multiple benchmarks. Higher is better.
50.42Verify at BenchLM.aiJul 17, 2026
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Coding?BenchLM.ai's score for code generation and software-engineering tasks, normalized 0–100 across multiple benchmarks. Higher is better.
52.51Verify at BenchLM.aiAug 13, 2026
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InstructionFollowing?BenchLM.ai's score for following precise, detailed instructions, normalized 0–100 across multiple benchmarks. Higher is better.
86.6Verify at BenchLM.aiAug 16, 2026
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Knowledge?BenchLM.ai's score for factual knowledge and question answering, normalized 0–100 across multiple benchmarks. Higher is better.
50.2Verify at BenchLM.aiAug 16, 2026
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Math?BenchLM.ai's score for mathematical problem solving, normalized 0–100 across multiple benchmarks. Higher is better.
62.6Verify at BenchLM.aiAug 16, 2026
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Multilingual?BenchLM.ai's score for capability across non-English languages, normalized 0–100 across multiple benchmarks. Higher is better.
69.7Verify at BenchLM.aiAug 16, 2026
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MultimodalGrounded?BenchLM.ai's score for understanding grounded in images and documents, normalized 0–100 across multiple benchmarks. Higher is better.
52.1Verify at BenchLM.aiAug 16, 2026
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SWE-Bench Pro?SWE-Bench Pro: resolving real GitHub issues in large codebases end to end. Score is the percentage of issues resolved.Hugging Face
49.5Verify at Hugging FaceAug 16, 2026
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Vibe rating?OutYet's community rating: signed-in users score the model 1–10. Shown as the average and the number of votes.
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Predecessor
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Successor
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Benchmark scores are mirrored from third-party sources and captured on the dates shown. Numbers from different benchmarks, sources, or capture dates are not directly comparable.

Data from BenchLM.ai.