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Qwen3.8-27B

Alibaba · Released 17 Aug 2026 · qwen3.8-27b

Compare this model
Open weightCodingAgentsVisionBudget

$0.50

Input price / 1M tokens

#14 of 61, cheapest first

$3.00

Output price / 1M tokens

#19 of 61, cheapest first

1M

Context window

#29 of 71

46

Output tokens / second

#54 of 61

73%

Terminal-Bench 2.1

#15 of 17

61.7%

SWE-bench Pro

#7 of 16

84.3%

OSWorld-Verified

#2 of 8

89.2%

GPQA Diamond

#17 of 27

Summary

Qwen3.8-27B is an open-weight model from Alibaba, released on 17 Aug 2026.

At $0.50 input and $3.00 output per million tokens, it is #14 of 61 on input price, cheapest first.

Its 1M-token context window ranks #29 of 71.

Measured output speed is 46 tokens per second, #54 of 61.

Dense 27B native vision-language model (images and video), open weights under Apache-2.0 with no extra commercial conditions. Weights support 262,144 tokens natively, extensible to 1M; the hosted API serves 1M by default.

Benchmarks · 6 reported

BenchmarkScoreBarRankSource
Terminal-Bench 2.1Terminus harness73%#15 of 17Qwen3.8-27B model cardSelf-reported
SWE-bench Pro61.7%#7 of 16Qwen3.8-27B model cardSelf-reported
OSWorld-Verified84.3%#2 of 8Qwen3.8-27B model cardSelf-reported
GPQA Diamond89.2%#17 of 27Qwen3.8-27B model cardSelf-reported
Humanity’s Last Exam (no tools)no tools30.8%#15 of 23Qwen3.8-27B model cardSelf-reported
LiveCodeBench90.3%#1 of 7Qwen3.8-27B model cardSelf-reported

Self-reported means the lab ran the test itself. A rank appears only where several labs report the same version of a benchmark.

Similar models

Models with the most benchmarks in common with Qwen3.8-27B, and the closest scores.

Compare 4 side by side

Terminal-Bench 2.1

#15 of 17

Terminal tasks, earlier set

SWE-bench Pro

#7 of 16

Harder multi-file engineering tasks

OSWorld-Verified

#2 of 8

Using a desktop computer

GPQA Diamond

#17 of 27

Graduate-level science questions

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