Coding Horizon

Qwen 3.8 27B Just Made GPT 5.6 Look Wasteful Now

Every figure this video puts on screen, with where it comes from.

The model

Claim	Value	Source
Parameters	27B	Qwen/Qwen3.8-27B model card
Licence	Apache 2.0	Qwen/Qwen3.8-27B model card
Native context	262,144 tokens	Qwen/Qwen3.8-27B model card
Extended context	up to 1,000,000 tokens, via YaRN	Qwen/Qwen3.8-27B model card
Modality	native vision language model, images and video	Qwen/Qwen3.8-27B model card
Thinking mode	on by default, can be disabled per request	Qwen/Qwen3.8-27B model card
Reasoning effort	reasoning_effort, with low, medium and xhigh	Qwen/Qwen3.8-27B model card
Weights on disk	55.6 GB of BF16 safetensors across 18 shards	files and versions
Published	14 August 2026, by the Qwen team at Alibaba Cloud	Qwen/Qwen3.8-27B model card

The model card’s own framing of what it is for: “comprehensive improvements across coding, professional work, research, and long-horizon agentic tasks”, and “stronger autonomous planning and better handling of environment feedback, leading to more reliable end-to-end task completion”.

The head to head

Artificial Analysis, comparing Qwen3.8 27B at xhigh against GPT 5.6 Luna at xhigh:

Metric	Qwen3.8 27B (xhigh)	GPT 5.6 Luna (xhigh)	Better
Intelligence Index	52	50	Qwen
Blended price, per 1M tokens	$0.43	$0.17	GPT
Output speed, tokens per second	54	145	GPT
Time to first token	2.98s	52.74s	Qwen
Context window	256k	1000k	GPT

Source: Artificial Analysis, Qwen3.8 27B vs GPT-5.6 Luna (xhigh).

The score depends on which GPT 5.6 Luna configuration is compared. At low reasoning effort the same index puts Luna at 34, against Qwen3.8 27B’s 52: comparison. The video compares the xhigh configuration in both directions, which is the closest of the published matchups.

The Hugging Face ranking

Qwen3.8 27B reached number one on Hugging Face’s global trending models board on 17 August 2026, three days after release, and passed three million downloads in the same window.

• Alibaba’s Qwen 3.8-27B tops Hugging Face global model trend
• Qwen3.8-27B arrives free, already downloaded over 3 million times
• Qwen 3.8 27B scores 52 on the Artificial Analysis Intelligence Index

What is illustrative rather than measured

Some shots draw a shape rather than a published figure, and are labelled on screen as what they are rather than carrying a number:

• The split of developer work between “the middle band” and “the frontier tail”, and the share of premium calls that did not need premium intelligence, are illustrations of the argument, not survey results.
• The eight axis profile comparing the two models is a shape drawn to show that one index flattens several dimensions. Only the four rows in the table above are measured.
• The share of an agent’s turns that an open model could take is an illustration.
• Local setup time against a hosted call is an illustration of the tradeoff.

Not verified

• Whether Qwen3.8 27B is genuinely better inside an agent loop than smaller open models before it. The model card claims stronger planning and environment feedback handling; there is no independent harness result behind that claim here.
• GPT 5.6 Luna’s parameter count is not published, so the size comparison in the video is made against the fact that it is hosted rather than against a number.