Where is the Qwen3.8 27B (batch) documentation?

The Qwen3.8 27B (batch) documentation on OpenRouter includes the Self-Hosted LLM vs API: When Does Self-Hosting Pay Off blog post and the LLM Quantization: What fp8 and fp4 Do to Quality and Price blog post. The quickstart covers API keys and your first request, and the API reference lists every parameter.

How much does Qwen3.8 27B (batch) cost?

Qwen3.8 27B (batch) costs $0.16/M input tokens and $2.00/M output tokens, with separate rates for Cache Read at $0.04/M tokens.

What is the context length of Qwen3.8 27B (batch)?

Qwen3.8 27B (batch) has a 262,144 token context window.

Does Qwen3.8 27B (batch) support tool calling and structured outputs?

Yes. Qwen3.8 27B (batch) accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

What inputs and outputs does Qwen3.8 27B (batch) support?

Qwen3.8 27B (batch) accepts text, images, and video as input and returns text.

Which providers serve Qwen3.8 27B (batch)?

Qwen3.8 27B (batch) is served by 1 provider on OpenRouter: DeepInfra.

What other text models does Qwen have?

Qwen3.8 Max Prime, Qwen3.8 Omni Flash, Qwen3.8 Max (0902) and 36 more are other text models from Qwen.

When was Qwen3.8 27B (batch) released?

Qwen3.8 27B (batch) was released on August 14, 2026.

Qwen: Qwen3.8 27B (batch)

qwen/qwen3.8-27b:batch

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Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be enabled or disabled.

Modalities

In / out price

$0.16 / $2per 1M

Context

262K

Released

Aug 14, 2026

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).


	$0.16	$2.00	$0.04	--	--	--

Input $0.16Output $2.00
-- tok/s-- uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0/M tokens

Output

$0/M tokens

Qwen3.8 27B (batch) — Price history

Price history

No effective price data for this selection

		$0.00	$0.00	68.9%	100.0%

Effective in $0.00Effective out $0.00
Token share
100.0%

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Not enough uptime data to display yet.

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Qwen: Qwen3.8 27B (batch) (Artificial Analysis and Vals AI)
Source	Benchmark	Score
Artificial Analysis	Qwen3.8 27B (Non-reasoning) Intelligence Index	10.0
Artificial Analysis	Qwen3.8 27B (Non-reasoning) Coding Index	44.6
Artificial Analysis	Qwen3.8 27B (Non-reasoning) Agentic Index	22.4
Artificial Analysis	Qwen3.8 27B (Non-reasoning) GPQA Diamond	81.8%
Artificial Analysis	Qwen3.8 27B (Non-reasoning) HLE	12.1%
Artificial Analysis	Qwen3.8 27B (Non-reasoning) AA-LCR	69.3%
Artificial Analysis	Qwen3.8 27B (Non-reasoning) τ-Bench Banking	20.0%
Artificial Analysis	Qwen3.8 27B (Non-reasoning) GDPval-AA	29.1%
Artificial Analysis	Qwen3.8 27B (Non-reasoning) CritPt	0.3%
Artificial Analysis	Qwen3.8 27B (Non-reasoning) SciCode	36.2%
Artificial Analysis	Qwen3.8 27B (Non-reasoning) Terminal-Bench 4.0	0.0%
Artificial Analysis	Qwen3.8 27B (Non-reasoning) Terminal-Bench 2.1	49.1%
Artificial Analysis	Qwen3.8 27B (Non-reasoning) AA-Omniscience Accuracy	9.1%
Artificial Analysis	Qwen3.8 27B (Non-reasoning) AA-Omniscience Non-Hallucination Rate	82.0%
Artificial Analysis	Qwen3.8 27B (Xhigh) Intelligence Index	20.1
Artificial Analysis	Qwen3.8 27B (Xhigh) Coding Index	68.1
Artificial Analysis	Qwen3.8 27B (Xhigh) Agentic Index	45.8
Artificial Analysis	Qwen3.8 27B (Xhigh) GPQA Diamond	90.5%
Artificial Analysis	Qwen3.8 27B (Xhigh) HLE	33.9%
Artificial Analysis	Qwen3.8 27B (Xhigh) AA-LCR	82.0%
Artificial Analysis	Qwen3.8 27B (Xhigh) τ-Bench Banking	48.0%
Artificial Analysis	Qwen3.8 27B (Xhigh) GDPval-AA	46.3%
Artificial Analysis	Qwen3.8 27B (Xhigh) CritPt	5.4%
Artificial Analysis	Qwen3.8 27B (Xhigh) SciCode	46.6%
Artificial Analysis	Qwen3.8 27B (Xhigh) Terminal-Bench 4.0	5.6%
Artificial Analysis	Qwen3.8 27B (Xhigh) Terminal-Bench 2.1	79.8%
Artificial Analysis	Qwen3.8 27B (Xhigh) AA-Omniscience Accuracy	17.3%
Artificial Analysis	Qwen3.8 27B (Xhigh) AA-Omniscience Non-Hallucination Rate	71.4%
Artificial Analysis	Qwen3.8 27B (Low) Intelligence Index	15.7
Artificial Analysis	Qwen3.8 27B (Low) Coding Index	58.2
Artificial Analysis	Qwen3.8 27B (Low) Agentic Index	38.9
Artificial Analysis	Qwen3.8 27B (Low) GPQA Diamond	84.5%
Artificial Analysis	Qwen3.8 27B (Low) HLE	14.0%
Artificial Analysis	Qwen3.8 27B (Low) AA-LCR	77.3%
Artificial Analysis	Qwen3.8 27B (Low) τ-Bench Banking	32.2%
Artificial Analysis	Qwen3.8 27B (Low) GDPval-AA	43.5%
Artificial Analysis	Qwen3.8 27B (Low) CritPt	0.0%
Artificial Analysis	Qwen3.8 27B (Low) SciCode	40.0%
Artificial Analysis	Qwen3.8 27B (Low) Terminal-Bench 4.0	2.5%
Artificial Analysis	Qwen3.8 27B (Low) Terminal-Bench 2.1	67.4%
Artificial Analysis	Qwen3.8 27B (Low) AA-Omniscience Accuracy	18.3%
Artificial Analysis	Qwen3.8 27B (Low) AA-Omniscience Non-Hallucination Rate	51.3%
Artificial Analysis	Qwen3.8 27B (Medium) Intelligence Index	17.5
Artificial Analysis	Qwen3.8 27B (Medium) Coding Index	56.1
Artificial Analysis	Qwen3.8 27B (Medium) Agentic Index	44.4
Artificial Analysis	Qwen3.8 27B (Medium) GPQA Diamond	84.5%
Artificial Analysis	Qwen3.8 27B (Medium) HLE	14.1%
Artificial Analysis	Qwen3.8 27B (Medium) AA-LCR	79.7%
Artificial Analysis	Qwen3.8 27B (Medium) τ-Bench Banking	47.4%
Artificial Analysis	Qwen3.8 27B (Medium) GDPval-AA	44.4%
Artificial Analysis	Qwen3.8 27B (Medium) CritPt	0.0%
Artificial Analysis	Qwen3.8 27B (Medium) SciCode	39.0%
Artificial Analysis	Qwen3.8 27B (Medium) Terminal-Bench 4.0	5.1%
Artificial Analysis	Qwen3.8 27B (Medium) Terminal-Bench 2.1	65.2%
Artificial Analysis	Qwen3.8 27B (Medium) AA-Omniscience Accuracy	17.9%
Artificial Analysis	Qwen3.8 27B (Medium) AA-Omniscience Non-Hallucination Rate	34.6%
Vals AI	Qwen 3.8 27B Code Migration	14.2%
Vals AI	Qwen 3.8 27B CyberBench v1.1	67.8%
Vals AI	Qwen 3.8 27B EMB	59.7%
Vals AI	Qwen 3.8 27B Finance Agent (v2)	48.6%
Vals AI	Qwen 3.8 27B GPQA Diamond	88.9%
Vals AI	Qwen 3.8 27B Harvey's Legal Agent Benchmark v1	11.3%
Vals AI	Qwen 3.8 27B IOI	39.1%
Vals AI	Qwen 3.8 27B LiveCodeBench	84.0%
Vals AI	Qwen 3.8 27B LegalBench	82.4%
Vals AI	Qwen 3.8 27B Legal Research Bench	36.1%
Vals AI	Qwen 3.8 27B MedCode	28.7%
Vals AI	Qwen 3.8 27B MedScribe	83.8%
Vals AI	Qwen 3.8 27B MMLU Pro	84.3%
Vals AI	Qwen 3.8 27B MMMU Pro	83.9%
Vals AI	Qwen 3.8 27B MortgageTax	64.9%
Vals AI	Qwen 3.8 27B ProgramBench	0.0%
Vals AI	Qwen 3.8 27B ProofBench v1.1	16.0%
Vals AI	Qwen 3.8 27B SAGE v1	52.4%
Vals AI	Qwen 3.8 27B SkillsBench	38.1%
Vals AI	Qwen 3.8 27B SWE-bench	86.0%
Vals AI	Qwen 3.8 27B Tax Agent Bench	30.9%
Vals AI	Qwen 3.8 27B TaxEval v2	70.8%
Vals AI	Qwen 3.8 27B Terminal-Bench 2.1	58.4%
Vals AI	Qwen 3.8 27B Terminal-Bench-Science	0.0%
Vals AI	Qwen 3.8 27B Vals Index	48.5%
Vals AI	Qwen 3.8 27B Vibe Code Bench v1.1	64.8%

Not currently available through EU in-region routing. In-region routing docs

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Qwen: Qwen3.8 27B (batch)

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Pricing

Weighted average

Qwen3.8 27B (batch) — Price history

Performance

Uptime

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Documentation

Frequently asked questions

Explore more models

More models from Qwen

More models from Qwen

Qwen: Qwen3.8 27B (batch)

Providers

Pricing

Weighted average

Qwen3.8 27B (batch) — Price history

Performance

Uptime

Benchmarks

Apps

Activity

API

Documentation

Frequently asked questions

What is Qwen3.8 27B (batch)?

Where is the Qwen3.8 27B (batch) documentation?

How much does Qwen3.8 27B (batch) cost?

What is the context length of Qwen3.8 27B (batch)?

Does Qwen3.8 27B (batch) support tool calling and structured outputs?

What inputs and outputs does Qwen3.8 27B (batch) support?

Which providers serve Qwen3.8 27B (batch)?

What other text models does Qwen have?

When was Qwen3.8 27B (batch) released?

Explore more models

More models from Qwen

More models from Qwen