Pairwise benchmark snapshot · Aug 16, 2026
This page compares Qwen3.8 27B (Alibaba) and Qwen 3 Max (Alibaba) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Qwen 3 Max is ahead by 120 points (1,518 vs 1,398; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Qwen 3 Max resolves 67.8% versus 58.8% (seed-bootstrap (Aug 1, 2026)). Qwen3.8 27B streams faster (152 tok/s) while Qwen3.8 27B is the cheaper output token ($3.2/1M). Qwen3.8 27B has the larger context window (262k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.
Alibaba
Qwen3.8 27BAlibaba open-weight 27B drop dated Aug 14 2026. Dense enough to self-host; not a frontier MoE.
Instant pairwise benchmark recalculation across 400+ LLMs
Category wins across intelligence, speed, and pricing efficiency.
Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy
Generation throughput and time to first token responsiveness
Cost per million tokens and max context window length
Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.
120 pts advantage
72 tok/s faster
$0.70/1M cheaper
Simulate monthly production API costs based on published $/1M tokens.
Qwen3.8 27B is estimated to save $22.05/month ($265/year).
Higher SWE-bench (67.8%).
Lower output list price ($3.2/1M).
Lower TTFT (140 ms).
Larger window (262k).
Qwen 3 Max is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | Qwen 3 Max | Higher SWE-bench (67.8%). |
| High-volume chat | Qwen3.8 27B | Lower output list price ($3.2/1M). |
| Voice / low-latency UI | Qwen3.8 27B | Lower TTFT (140 ms). |
| Long-document RAG | Qwen3.8 27B | Larger window (262k). |
| Screenshots / vision | Qwen 3 Max | Qwen 3 Max is the side marked multimodal in the catalog. |
Alibaba open-weight 27B drop. Local/open-weight lists should see it. It will not win frontier-agents.
Closed flagship. Strong math. Compare to Sol and Opus on GPQA and SWE-bench, not on brand heat.
Sep 2025 open-weight mixture-of-experts. Self-host path. Don’t confuse it with Qwen 3 Max.
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Verified head-to-head card