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Qwen3.7-Max

Alibaba·

LLMsflagshipcloud

Overview

Proprietary flagship in Alibaba's Qwen Max line. Closed weights — the Plus variant is open-sourced while Max stays closed, consistent with Alibaba's Max/Plus split since Qwen2.5-Max. 1M-token context (up from 256K in the Qwen3.6-Max preview), text-only input and output. MoE architecture details are not officially disclosed. Previewed on Arena AI on 2026-05-14, formally launched at the 2026 Alibaba Cloud Summit on 2026-05-20. Alibaba-reported benchmarks (verified post-launch via AA Intelligence Index v4.0 reproduction): GPQA Diamond 92.4, HLE 41.4, SWE-bench Verified 80.4, Terminal-Bench 2.0 69.7. AA Intelligence Index v4.0: 57 (initial Index run reported 56.6).

Capabilities and innovations

1M-token context windowText-only input and outputClosed weights

Benchmarks

BenchmarkScoreSource
GPQA Diamond92.4%vendor
GPQA Diamond 92.4 — Alibaba-reported, consistent with the AA Intelligence Index v4.0 composite reproduction (GPQA is an index component).
Humanity’s Last Exam (no tools)41.4%vendor
HLE 41.4 — Alibaba-reported. Caveat: high score is partly abstention-driven (~48% attempt rate per AA), the model declines more answers than peers.
SWE-bench Verified80.4%vendor
SWE-bench Verified 80.4 — Alibaba-reported. Comparable to Opus 4.6 Max (80.8) and DeepSeek-V4-Pro Max (80.6).
MMLU-Pro89.31%unsourced
Terminal-Bench 2.x69.7%vendor
Terminal-Bench 2.0-Terminus 69.7 — Alibaba-reported.
  • SWE-bench Pro: not reported by the vendor
  • MMLU: not reported by the vendor
  • MMMU-Pro: not reported by the vendor

Reliability

Function calling (BFCL)
75% (higher is better)third party

Links

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Data curated by AI Model Timeline. See the methodology for admission criteria, benchmark eras and source priority.