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Alibaba (Qwen)
Qwen3.5
Released Feb 16, 2026 · knowledge cutoff unpublished
- Status
- Unknown
- Location
- China
- Type
- LLM
- Modality
- Text
- Context window
- 262K
- Max output
- 66K
- Speed
- 82 tok/s · 2.41s to first answer token
- Price ($/MTok in / out)
- $0.54 / $3.40
- Cost per task
- $0.33
- Open weights
- Yes
Benchmarks3 of 10 reported
MMLU-Proretired
87.8%
GPQA Diamond
88.4%
SWE-bench Verified
76.4%
SWE-bench Pro
—
Terminal-Bench 2.1
—
AIME (latest)retired
—
Humanity's Last Exam
—
LMArena Elo
—
GDPval-AA v2
—
ARC-AGI-2
—
Strengths & weaknesses
Strengths
- Very few active parameters per token, so it serves cheaply for its capability
- Open weights that fine-tune well and run on commodity inference stacks
- Strong multilingual coverage carried over from the Qwen line
Weaknesses
- Text-only, so it can't take screenshots, diagrams or PDFs
- No first-party API — behavior and speed depend entirely on which host you pick
Figures are for the Qwen3.5-397B-A17B open release. MMLU-Pro 87.8 / GPQA 88.4 / SWE-bench 76.4 third-party (LLM-Stats/DeepInfra). Pricing is the DeepInfra hosted FP8 rate — no first-party API for the open weights. Speed per Artificial Analysis' Qwen3.5 397B A17B (Reasoning) page; AA labels the variant by reasoning mode, not an effort tier.
For developers
API model strings
Not researched
Licence
Apache License 2.0 · Permissive · commercial use permitted
Retirement
No retirement announced
Lineage
No recorded predecessor