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 1,024,000 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, Prime Intellect 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

qwen/qwen3.8-27b

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


	$0.035	$1.50	$0.0175	--	--	2.09s	57 tok/s	99.45%
	$0.039	$1.25	$0.0039	--	--	4.55s	37 tok/s	95.23%
	$0.04	$1.35	$0.018	--	--	1.41s	80 tok/s	99.92%
	$0.04	$1.95	$0.02	--	--	0.68s	65 tok/s	94.11%
	$0.04	$2.30	$0.02	--	--	0.69s	158 tok/s	100.00%
	$0.04	$2.50	$0.02	--	--	0.73s	106 tok/s	98.38%
	$0.06	$2.20	$0.059	--	--	0.41s	279 tok/s	99.63%
	$0.092	$0.655	$0.01	--	--	0.56s	60 tok/s	99.97%
	$0.125	$2.00	$0.05	--	--	0.87s	63 tok/s	99.47%
	$0.15	$1.60	$0.05	--	--	0.48s	125 tok/s	99.73%
25% off	$0.20$0.15	$2.50$1.875	$0.05$0.0375	--	--	0.79s	22 tok/s	100.00%
	$0.15	$2.50	$0.05	--	--	1.90s	61 tok/s	100.00%
65% off	$0.50$0.175	$3.00$1.05	$0.10$0.035	--	--	21.18s	15 tok/s	95.75%
	$0.225	$1.98	$0.05	--	--	0.52s	57 tok/s	99.75%
	$0.24	$2.20	$0.05	--	--	1.69s	36 tok/s	100.00%
	$0.40	$3.00	$0.15	--	--	0.52s	87 tok/s	99.53%
	$0.42	$3.00	$0.085	--	--	5.40s	37 tok/s	97.01%
	$0.425	$2.55	$0.085	$0.53125	$0.0425	4.73s	24 tok/s	99.72%
	$0.45	$3.00	$0.10	--	--	1.08s	189 tok/s	100.00%
	$0.45	$3.20	$0.25	--	--	1.52s	37 tok/s	82.38%
	$0.45	$3.20	$0.05	--	--	0.27s	30 tok/s	97.50%
	$0.45	$3.20	--	--	--	0.75s	62 tok/s	99.88%
	$0.99	$1.49	$0.99	--	--	0.27s	1,020 tok/s	100.00%

Input $0.035Output $1.50
57 tok/s99.45% uptime
Input $0.039Output $1.25
37 tok/s95.23% uptime
Input $0.04Output $1.35
80 tok/s99.92% uptime
Input $0.04Output $1.95
65 tok/s94.11% uptime
Input $0.04Output $2.30
158 tok/s100.00% uptime
Input $0.04Output $2.50
106 tok/s98.38% uptime
Input $0.06Output $2.20
279 tok/s99.63% uptime
Input $0.092Output $0.655
60 tok/s99.97% uptime
Input $0.125Output $2.00
63 tok/s99.47% uptime
Input $0.15Output $1.60
125 tok/s99.73% uptime
Input $0.15Output $1.875
25% off
22 tok/s100.00% uptime
Input $0.15Output $2.50
61 tok/s100.00% uptime
Input $0.175Output $1.05
65% off
15 tok/s95.75% uptime
Input $0.225Output $1.98
57 tok/s99.75% uptime
Input $0.24Output $2.20
36 tok/s100.00% uptime
Input $0.40Output $3.00
87 tok/s99.53% uptime
Input $0.42Output $3.00
37 tok/s97.01% uptime
Input $0.425Output $2.55
24 tok/s99.72% uptime
Input $0.45Output $3.00
189 tok/s100.00% uptime
Input $0.45Output $3.20
37 tok/s82.38% uptime
Input $0.45Output $3.20
30 tok/s97.50% uptime
Input $0.45Output $3.20
62 tok/s99.88% uptime
Input $0.99Output $1.49
1,020 tok/s100.00% 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

$0.06544/M tokens

Output

$2.033/M tokens

Qwen3.8 27B — Price history

Price history

No effective price data for this selection

$0.0159	$1.249	65.9%	5.4%
$0.0221	$1.349	81.2%	10.0%
$0.0225	$2.299	87.4%	13.9%
$0.0231	$2.500	84.2%	6.3%
$0.0270	$1.500	44.9%	0.6%
$0.0304	$1.947	47.9%	0.7%
$0.0545	$0.478	20.5%	1.3%
$0.0592	$2.200	81.4%	23.0%
$0.0635	$2.199	92.9%	8.3%
$0.0684	$1.600	81.6%	2.8%
$0.0704	$1.873	70.7%	7.6%
$0.0885	$1.999	48.6%	0.4%
$0.0991	$1.049	54.2%	1.4%
$0.1215	$2.500	28.5%	1.1%
$0.1244	$2.550	88.5%	4.6%
$0.1277	$3.000	92.1%	9.8%
$0.1405	$3.000	83.4%	0.5%
$0.1677	$1.979	32.7%	0.4%
$0.2596	$3.000	56.1%	1.3%
$0.2768	$3.199	86.6%	0.0%
$0.4499	$3.200	31.4%	0.0%
$0.4499	$3.199	0.0%	0.1%
$0.9899	$1.489	31.9%	0.5%

Effective in $0.0159Effective out $1.249
Token share
5.4%
Effective in $0.0221Effective out $1.349
Token share
10.0%
Effective in $0.0225Effective out $2.299
Token share
13.9%
Effective in $0.0231Effective out $2.500
Token share
6.3%
Effective in $0.0270Effective out $1.500
Token share
0.6%
Effective in $0.0304Effective out $1.947
Token share
0.7%
Effective in $0.0545Effective out $0.478
Token share
1.3%
Effective in $0.0592Effective out $2.200
Token share
23.0%
Effective in $0.0635Effective out $2.199
Token share
8.3%
Effective in $0.0684Effective out $1.600
Token share
2.8%
Effective in $0.0704Effective out $1.873
Token share
7.6%
Effective in $0.0885Effective out $1.999
Token share
0.4%
Effective in $0.0991Effective out $1.049
Token share
1.4%
Effective in $0.1215Effective out $2.500
Token share
1.1%
Effective in $0.1244Effective out $2.550
Token share
4.6%
Effective in $0.1277Effective out $3.000
Token share
9.8%
Effective in $0.1405Effective out $3.000
Token share
0.5%
Effective in $0.1677Effective out $1.979
Token share
0.4%
Effective in $0.2596Effective out $3.000
Token share
1.3%
Effective in $0.2768Effective out $3.199
Token share
0.0%
Effective in $0.4499Effective out $3.200
Token share
0.0%
Effective in $0.4499Effective out $3.199
Token share
0.1%
Effective in $0.9899Effective out $1.489
Token share
0.5%

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

1020tok/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)

99.86%

Availability over the last 3 days

Last 72 hours

Availability 99.86%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.78%

Without Routing

95.38%

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 (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 (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 (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	43.3%
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	44.5%
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

207Btokens

Codex

A coding agent that helps you build and ship with AI

188Btokens

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.

103Btokens

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.

96.7Btokens

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

74.6Btokens

Rest of OpenRouter

57B

Top 5 Apps

22.6B

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

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Providers