That's NeuralModel catalog

qwen

Qwen: Qwen3.8 27B

qwen/qwen3.8-27b

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

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...

Specifications

Model ID
qwen/qwen3.8-27b
Canonical ID
qwen/qwen3.8-27b-20260814
Creator
qwen
Added to OpenRouter
14.08.2026
Context length
1,048,575
Modality
text+image+video->text
Input modalities
text, image, video
Output modalities
text
Token pricing
USD per 1M tokens: in $0.150 / out $1.88
Knowledge cutoff
—
Expiration date
—

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

TaskGradeSource-declared capability
General qualityCC — below the B bandreasoning: optional · default xhigh · efforts: xhigh, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort
CodingAA — next 20% of the cohort—
AgentsAA — next 20% of the cohortparameters: structured_outputs, tool_choice, tools
WritingNo measurementoutput: text
ReasoningNo measurementreasoning: optional · default xhigh · efforts: xhigh, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort
Document analysisNo measurement—
VisionNo measurementinput: image
Image generationNo measurement—
AudioNo measurement—
VideoNo measurementinput: video
EmbeddingsNo measurement—

Evaluations

SourceBenchmarkValueGradeData retrieved
Artificial AnalysisIntelligence index20.1CC — below the B band13.11.2026
Artificial AnalysisCoding index68.1AA — next 20% of the cohort13.11.2026
Artificial AnalysisAgentic index45.8AA — next 20% of the cohort13.11.2026
How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

  • S — S — top 10% of the cohort
  • A — A — next 20% of the cohort
  • B — B — next 30% of the cohort
  • C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

ProviderContext lengthPrice in /1MPrice out /1MLatency p50 (30m, s)Throughput p50 (30m, tok/s)Uptime (30m)
Darkbloomfp4262,144$0.035$1.5——100%
Chutesfp8262,144$0.039$1.25——100%
Near AIfp8262,144$0.040$1.35——100%
Ionstreamfp8262,144$0.040$1.95——100%
Modal262,144$0.040$2.3——100%
DekaLLM262,144$0.040$2.5——100%
Waferfp8262,144$0.060$2.2——100%
Mancer 2fp8262,144$0.125$2——100%
Tenstorrentfp8262,144$0.150$1.6——100%
DeepInfrabf16262,144$0.150$1.88——100%
Rekafp8262,144$0.150$2.5——100%
StreamLake1,024,000$0.175$1.05———
PrimeIntellectfp8262,144$0.201$1.43——100%
AkashMLfp8262,144$0.225$1.98——100%
Parasailfp8262,144$0.240$2.2——100%
CoreWeavefp8262,144$0.400$3——100%
Novita1,000,000$0.420$3——100%
Alibaba1,000,000$0.425$2.55——100%
Nebiusfp41,000,000$0.450$3——100%
GMICloudbf161,048,575$0.450$3.2——100%
Cloudflare262,144$0.450$3.2——100%
Venicefp8262,144$0.450$3.2——100%
Cerebrasfp1665,536$0.990$1.49——100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.