Alibaba

Qwen3.8 27B (Non-reasoning)Open

Name: Qwen3.8 27B (Non-reasoning)
Price: 3 USD
Rating: 65 (1 reviews)
Author: Alibaba

Alibaba Qwen3.8 27B (Non-reasoning) model with 260K context window, optimized for advanced reasoning and multimodal tasks.

#250released Aug 14, 2026·Open Weights·27 billion

textimagevideo260K ctxreasoning

API providers Get API Key →Leaderboard

Intelligence

65.0 #250

AAQI 30.0

Output Speed

62 t/s

TTFT 3.06 s · ITL 16.1 ms/tok

Blended price (3:1)

$1.125 /1M

In $0.5/M · Out $3/M

Context

260K

≈ 650 A4 pages · max out 16,384

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Qwen3.8 27B (Non-reasoning)

Claude Mythos Preview (#1)

Average (68)

Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodology.

API deployment

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Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.

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Scores by Source

Arena.ai ↗

—

Artificial Analysis ↗

Category Scores

Long Context75.0 Value65.0 Reasoning45.0 Math39.0 Knowledge39.0 Agentic36.0 Multimodal36.0 Intelligence30.0 Speed20.7

Benchmark Results

GPQA Diamond36%

Model Details

Release date

Aug 14, 2026

Parameters

27 billion

License

Open Weights

Context Window

260,000 tokens

Input Price

$0.5/M

Output Price

$3/M

Output Speed

62 t/s

Time to First Token

3.06 s

Estimated monthly bill

Monthly API requests: 100,000Avg input tokens: 1,500Avg output tokens: 500Prompt cache hit rate: 50%

Estimated monthly spend

$0.00

Calculating savings vs GPT-4o...

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BibTeX

@misc{llmpodium2026qwen3827bnonreasoning,
  title = {Benchmark Analysis and Intelligence Evaluation of Qwen3.8 27B (Non-reasoning)},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/qwen3-8-27b-non-reasoning}
}

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