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Qwen3.8 27B

Open weights Alibaba Qwen 2026-09 262K context

The strongest open model you can run on a Mac: LiveBench design 75.9 beats Gemini 4 Argon

Intelligence v5
— v4.3.2 33.7
Leaderboard rank
—
Input / output
$0.10/$0.40
Blended 3:1
$0.17
Output speed
180 tok/s
Value
—
Capability profile Normalised to the field maximum
Specifications
Vendor
Alibaba Qwen
Released
2026-09
Weights
Open (Apache-2.0)
Context
262,144 tokens
Max output
Undisclosed
Parameters
28B dense
Input price
$0.10 / 1M
Output price
$0.40 / 1M
Cache hit
n/a
Output speed
180 tok/s
Intelligence
33.7(v4.3.2)

Benchmark scores

How it is measured →

Bars are scaled to the field maximum for that benchmark.

BenchmarksScoreVs. best in fieldGap
AA Intelligence Index v5——not indexed
AA Intelligence Index v4.3.2 Intelligence index (legacy) 33.759% −23.9 pts
GPQA Diamond——not indexed
Terminal-Bench 4.0——not indexed
LiveBench Design Document generation (DOCX/PPT/PDF) 75.987% −11.0 pts
Vals Index Vals composite index 40.555% −32.6 pts

Assessment

A 27B dense model under Apache-2.0 with 262K context (extendable to 1M with YaRN). AA v4.3.2 33.7 is the highest score among single-machine deployable models, and its LiveBench design score of 75.9 even beats Gemini 4 Argon's 73.7.

At the same price

The four models closest on blended price, side by side.

Modelv5Blendedtok/sScore gap
Claude Haiku 5.5Anthropic 36.2 $0.20 235 —
MiniMax M3.1 FlashMiniMax 29.0 $0.26 118 —
DeepSeek V4.1 Flash Open weightsDeepSeek 32.5 $0.53 148 —
MiMo-V2.6 Pro Open weightsXiaomi 30.0 $0.61 81 —

Compare side by side

Line it up against other models on price, speed and every benchmark.

The comparison tool lines up to 4 models side by side with switchable normalisation — built for purchasing decisions.

Open the comparison tool → Back to leaderboard

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