Where is the Qwen3.8 27B documentation?

The Qwen3.8 27B 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 cost?

Qwen3.8 27B costs $0.035/M input tokens and $1.50/M output tokens, with separate rates for Cache Read at $0.0175/M tokens.

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

Qwen3.8 27B has a 1,048,575 token context window. It supports up to 131,072 completion tokens.

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

Yes. Qwen3.8 27B 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 support?

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

Which providers serve Qwen3.8 27B?

Qwen3.8 27B is served by 23 providers on OpenRouter: Darkbloom, Chutes, NEAR AI, Ionstream, Modal, DekaLLM, Wafer, Mancer and 15 more. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

When was Qwen3.8 27B released?

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

Qwen: Qwen3.8 27B (nitro)

qwen/qwen3.8-27b:nitro

Model weights

Compare

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

$0.035 / $1.50per 1M

Context

1.0M

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).

Latency / throughput

Provider	Input /M	Output /M	Cache read /M	Cache create 5m /M	Cache read 5m /M	Latency	Throughput	Uptime
	$0.99	$1.49	$0.99	--	--	0.27s	914 tok/s	100.00%
	$0.45	$3.00	$0.10	--	--	0.46s	382 tok/s	99.79%
	$0.06	$2.20	$0.059	--	--	0.30s	179 tok/s	99.79%
	$0.04	$2.30	$0.02	--	--	0.32s	161 tok/s	100.00%
	$0.45	$3.20	--	--	--	0.50s	134 tok/s	99.85%
	$0.238	$1.695	$0.026	--	--	0.30s	133 tok/s	99.69%
	$0.40	$3.00	$0.15	--	--	0.28s	131 tok/s	99.72%
	$0.15	$1.60	$0.05	--	--	0.32s	116 tok/s	99.57%
	$0.04	$2.50	$0.02	--	--	0.47s	104 tok/s	97.51%
	$0.24	$2.20	$0.05	--	--	0.49s	85 tok/s	100.00%
	$0.125	$2.00	$0.05	--	--	1.28s	79 tok/s	99.70%
	$0.04	$1.35	$0.018	--	--	1.06s	66 tok/s	99.95%
	$0.15	$2.50	$0.05	--	--	1.19s	58 tok/s	99.88%
	$0.42	$3.00	$0.085	--	--	3.88s	55 tok/s	100.00%
	$0.225	$1.98	$0.05	--	--	0.59s	52 tok/s	99.06%
	$0.039	$1.25	$0.0039	--	--	1.98s	38 tok/s	99.74%
	$0.45	$3.20	$0.05	--	--	0.33s	38 tok/s	99.37%
	$0.425	$2.55	$0.085	$0.53125	$0.0425	1.42s	36 tok/s	99.12%
25% off	$0.20$0.15	$2.50$1.875	$0.05$0.0375	--	--	0.65s	35 tok/s	100.00%
	$0.04	$1.95	$0.02	--	--	2.23s	32 tok/s	96.71%
	$0.035	$1.50	$0.0175	--	--	3.94s	25 tok/s	99.13%
65% off	$0.50$0.175	$3.00$1.05	$0.10$0.035	--	--	14.97s	10 tok/s	100.00%
	$0.45	$3.20	$0.25	--	--	6.72s	18 tok/s	88.02%

Input $0.99Output $1.49
914 tok/s100.00% uptime
Input $0.45Output $3.00
382 tok/s99.79% uptime
Input $0.06Output $2.20
179 tok/s99.79% uptime
Input $0.04Output $2.30
161 tok/s100.00% uptime
Input $0.45Output $3.20
134 tok/s99.85% uptime
Input $0.238Output $1.695
133 tok/s99.69% uptime
Input $0.40Output $3.00
131 tok/s99.72% uptime
Input $0.15Output $1.60
116 tok/s99.57% uptime
Input $0.04Output $2.50
104 tok/s97.51% uptime
Input $0.24Output $2.20
85 tok/s100.00% uptime
Input $0.125Output $2.00
79 tok/s99.70% uptime
Input $0.04Output $1.35
66 tok/s99.95% uptime
Input $0.15Output $2.50
58 tok/s99.88% uptime
Input $0.42Output $3.00
55 tok/s100.00% uptime
Input $0.225Output $1.98
52 tok/s99.06% uptime
Input $0.039Output $1.25
38 tok/s99.74% uptime
Input $0.45Output $3.20
38 tok/s99.37% uptime
Input $0.425Output $2.55
36 tok/s99.12% uptime
Input $0.15Output $1.875
25% off
35 tok/s100.00% uptime
Input $0.04Output $1.95
32 tok/s96.71% uptime
Input $0.035Output $1.50
25 tok/s99.13% uptime
Input $0.175Output $1.05
65% off
10 tok/s100.00% uptime
Input $0.45Output $3.20
18 tok/s88.02% 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

$0.08163/M tokens

Output

$2.231/M tokens

Qwen3.8 27B — Price history

Price history

No effective price data for this selection

$0.0184	$1.25	58.5%	6.5%
$0.0229	$1.35	77.6%	8.9%
$0.0235	$2.30	82.5%	21.4%
$0.0238	$2.50	80.6%	5.7%
$0.0254	$1.95	72.5%	0.5%
$0.0266	$1.50	47.7%	0.8%
$0.0583	$1.88	81.5%	10.7%
$0.0592	$2.20	72.0%	10.0%
$0.0736	$1.05	72.5%	0.4%
$0.0926	$2.00	43.1%	0.8%
$0.0957	$2.20	75.9%	4.1%
$0.1064	$1.60	43.5%	0.9%
$0.1258	$2.50	24.1%	1.6%
$0.1482	$3.00	86.2%	17.9%
$0.1554	$1.98	39.7%	0.5%
$0.1615	$3.00	77.2%	0.7%
$0.1688	$2.55	75.3%	2.3%
$0.1914	$1.60	11.4%	1.3%
$0.3538	$3.00	18.4%	1.8%
$0.4498	$3.20	7.8%	0.2%
$0.4498	$3.20	0.0%	0.0%
$0.9898	$1.49	31.7%	0.5%
$0.2547	$3.20	97.6%	2.5%

Effective in $0.0184Effective out $1.25
Token share
6.5%
Effective in $0.0229Effective out $1.35
Token share
8.9%
Effective in $0.0235Effective out $2.30
Token share
21.4%
Effective in $0.0238Effective out $2.50
Token share
5.7%
Effective in $0.0254Effective out $1.95
Token share
0.5%
Effective in $0.0266Effective out $1.50
Token share
0.8%
Effective in $0.0583Effective out $1.88
Token share
10.7%
Effective in $0.0592Effective out $2.20
Token share
10.0%
Effective in $0.0736Effective out $1.05
Token share
0.4%
Effective in $0.0926Effective out $2.00
Token share
0.8%
Effective in $0.0957Effective out $2.20
Token share
4.1%
Effective in $0.1064Effective out $1.60
Token share
0.9%
Effective in $0.1258Effective out $2.50
Token share
1.6%
Effective in $0.1482Effective out $3.00
Token share
17.9%
Effective in $0.1554Effective out $1.98
Token share
0.5%
Effective in $0.1615Effective out $3.00
Token share
0.7%
Effective in $0.1688Effective out $2.55
Token share
2.3%
Effective in $0.1914Effective out $1.60
Token share
1.3%
Effective in $0.3538Effective out $3.00
Token share
1.8%
Effective in $0.4498Effective out $3.20
Token share
0.2%
Effective in $0.4498Effective out $3.20
Token share
0.0%
Effective in $0.9898Effective out $1.49
Token share
0.5%
Effective in $0.2547Effective out $3.20
Token share
2.5%

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Throughput

914tok/s

P50, best across providers

Latency

0.27s

P50, best provider

Reasoning effortLatency / throughput

AutoExacto benchmarks

GPQA DiamondTAU-BenchStreamLake84.9%--GMICloud82.6%--DekaLLM83.4%77.9%Parasail83.9%77.3%Prime Intellect83.2%78.0%

+21 more providers

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.

Uptime (3d)

100.00%

Availability (3d)

99.87%

Availability over the last 3 days

Last 72 hours

Availability 99.87%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.90%

Without Routing

95.68%

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 (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%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Portkey AI

Control panel for AI apps

194Btokens

Codex

A coding agent that helps you build and ship with AI

187Btokens

Hermes Agent

Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.

109Btokens

Claude Code

Claude Code is Anthropic's agentic coding tool that reads your entire codebase, plans and executes changes across files, runs tests, and iterates on failures, all from natural language prompts.

84Btokens

There are many coding agents, but this one is yours.

74.5Btokens

Rest of OpenRouter

81.3B

Top 5 Apps

16.6B

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

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Providers