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Qwen3.5-9B

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Qwen3.5-9B improved Pass@1 on SWE-bench Verified from 41.8% to 56.4%. The Decoder published an article discussing Qwen3.5‑9B’s fine‑tuning results. Qwen3.5‑9B was evaluated in the same study on AI model honesty as Opus 4.8. The Decoder featured Qwen3.5‑9B’s fine‑tuning results in its coverage. The Decoder published an article covering Qwen3.5‑9B’s fine‑tuned performance. Flora employs a 9B Qwen 3.5 model to split videos into action segments OpenCode uses the Qwen3.5 9B model Ollama runs the Qwen3.5 9B model· Entity summary generated by Graphiti

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REPORTS
4Source reports
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BY VALID-FROM DATE
  1. OpenCodeUSES MODELQwen3.5-9B

    OpenCode uses the Qwen3.5 9B model

    Current1 sourceOpenCode
  2. OllamaRUNS MODELQwen3.5-9B

    Ollama runs the Qwen3.5 9B model

    Current1 sourceOllama
  3. FloraHAS MODELQwen3.5-9B

    Flora employs a 9B Qwen 3.5 model to split videos into action segments

    Current1 sourceFlora
  4. Qwen3.5-9BFEATURED INTHE DECODER

    The Decoder featured Qwen3.5‑9B’s fine‑tuning results in its coverage.

    Current1 sourceTHE DECODER
  5. Qwen3.5-9BPUBLISHED ARTICLE CONCERNINGTHE DECODER

    The Decoder published an article discussing Qwen3.5‑9B’s fine‑tuning results.

    Current1 sourceTHE DECODER
  6. Qwen3.5-9BPUBLISHED ARTICLE CONCERNINGTHE DECODER

    The Decoder published an article covering Qwen3.5‑9B’s fine‑tuned performance.

    Current1 sourceTHE DECODER
  7. Qwen3.5-9BEVALUATED IN SAME STUDYOpus 4.8

    Qwen3.5‑9B was evaluated in the same study on AI model honesty as Opus 4.8.

    Current1 sourceOpus 4.8
  8. Qwen3.5-9BINCREASED PASS AT 1 ON SWE BENCH VERIFIED FROM 41.8 TO 56.4SWE-bench Verified

    Qwen3.5-9B improved Pass@1 on SWE-bench Verified from 41.8% to 56.4%.

    Current1 sourceSWE-bench Verified

Relations are facts Graphiti extracted from reports, not verbatim quotes. An end date means later reporting showed the relation no longer holds.