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Qwen3.8 27B

qwen/qwen3.8-27b-20260814
QwenChinaOpen weights

The 40th most-used model on the router over the last 7 days, with 0.29% of tokens. Weekly share peaked at 0.32% in the week of Sep 28, 2026, with 2.7T tokens processed since Aug 17, 2026.

Launch
Aug 14, 2026
Context
1M tokens
Modality
text, image and video → text
Reasoning
yes
License
Open weights
Input
$0.20 / 1M
Output
$2.50 / 1M
Share, last 7 days
0.29%
40th of 63 · Oct 19, 2026 to Oct 25, 2026
Peak weekly share
0.32%
week of Sep 28, 2026
Cumulative tokens
2.7T
since the week of Aug 17, 2026
Weeks in the top 10
0
of 10 weeks with volume

Weekly token share

Share of the router's weekly volume, since the first week with volume

0.0%0.1%0.2%0.3%0.4%Aug 24Sep 7Sep 21Oct 5Oct 19peak 0.32% on Sep 28, 2026
See the numbers
WeekShare
Oct 19, 20260.288%
Oct 12, 20260.216%
Oct 5, 20260.198%
Sep 28, 20260.322%
Sep 21, 20260.203%
Sep 14, 20260.137%
Sep 7, 20260.058%
Aug 31, 20260.151%
Aug 24, 20260.129%
Aug 17, 20260.061%

Debuted in the week of Aug 17, 2026 and peaked at 0.32% 6 weeks later. The latest full week came in at 0.29%, 89% of peak.

What this model is used for new

Tasks where the model ranks among the leaders, and its share of each

This model is not among the leaders in any of the 29 tasks classified in the Oct 25, 2026 snapshot. That does not mean it goes unused: the source lists only the largest models in each task.

Snapshot of the rolling 7-day window through Oct 25, 2026. Share: the model's tokens in the task over the task's total tokens. Weight: the task's share of classified volume.

Where to run it

Endpoints in the source's catalog, from cheapest to most expensive on input

ProviderInputOutputContextQuantizationZero retention
Darkbloom$0.035$2.20256kfp4no
Chutes$0.039$1.25256kfp8no
Near AI$0.04$1.35256kfp8yes
Ionstream$0.04$1.95256kfp8yes
Reka$0.04$2.20256kfp8yes
Modal$0.04$2.30256knot reportedyes
DekaLLM$0.04$2.50256knot reportedyes
Wafer$0.06$2.30256kfp8yes
DeepInfra$0.15$1.88256kbf16yes
Mancer 2$0.18$2.50256kfp8yes
ModelRun$0.20$2.50256kfp4yes
Phala$0.20$2.501Mnot reportedyes
AkashML$0.225$1.98256kfp8yes
Parasail$0.24$2.20256kfp8yes
CoreWeave$0.40$3.00256kfp8yes
Novita$0.42$3.001Mnot reportedyes
Alibaba$0.425$2.551Mnot reportedno
Cloudflare$0.45$3.20256knot reportedyes
Venice$0.45$3.20256kfp8yes
Cerebras$0.99$1.4964kfp16yes

20 endpoints across 20 providers, with input from $0.035 to $0.99 per 1M tokens. 17 offer zero data retention.

Prices in US dollars per million tokens, from the latest archived endpoint catalog.

Benchmarks

Artificial Analysis indexes and benchmarks run by the source, with cost per task

Intelligence
33.7
44th of 199
Coding
68.1
30th of 109
Agents
45.8
14th of 85

GPQA Diamond 81.8%

$0.034 per task, 1980 tasks. 91st of 169 evaluated. Median of evaluated models: 83.4%, $0.025 per task.

τ-bench verified, airline 78.0%

$0.069 per task, 450 tasks. 10th of 150 evaluated. Median of evaluated models: 71.2%, $0.064 per task.

Artificial Analysis indexes, exposed by the catalog; benchmarks run by the source and archived on Oct 26, 2026. The gray mark is the median of evaluated models.

Against the week's largest models

The five largest proprietary and five largest open-weights models over the last 7 days

ModelLab7-day shareBlended priceContextIntelligenceWeeks in top 10
Proprietary
GPT-6 LunaOpenAIOpenAI4.4%$0.201M38.15
Claude Opus 5.5AnthropicAnthropic4.4%$8.001M57.63
jev-1.13TypesafeTypesafe1.6%———0
GPT-6.1 SolOpenAIOpenAI1.5%$4.001M51.80
Muse Spark 1.3 ContributorMetaMeta1.5%$0.1251M—0
Open weights
DeepSeek V4.1 Flash 1017DeepSeekDeepSeek17.9%$0.2631M39.51
DeepSeek V4.1 FlashDeepSeekDeepSeek9.6%$0.2651M24.77
MiniMax M3.1 FlashMiniMaxMiniMax7.7%$0.2631M42.71
GLM 5.3 FlashZ.ai (GLM)Z.ai (GLM)7.0%$0.2371M41.89
Hy4 previewTencentTencent4.8%$1.251M—8
Qwen3.8 27Bthis pageQwenQwen0.29%$0.7751M33.70

Share over the last 7 days (Oct 19, 2026 to Oct 25, 2026). Blended price in US dollars per million tokens, weighted 75% input and 25% output. A dash means the number is not published, not zero.

What this page doesn't say. Share here is a slice of one router's traffic, where the deciding factor is usually price per token. It is not market, revenue or user share, and it does not tell you which model fits your workload.