The Orchestrator › Models › Qwen

Qwen: Qwen3.8 27B

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

ProviderQwen
Model IDqwen/qwen3.8-27b
Context window1.0M tokens (1,024,000)
Modalitiestext + image + video → text
TokenizerQwen
Router sourcesOpenRouter, TrustedRouter, Cloudflare
Released2026-08-14
Tracked since2026-11-14
PopularityNot in the ranked set
ReasoningOn by default

Pricing (per million tokens)

VariantSourceAPI IDInputOutputContext
standardOpenRouterqwen/qwen3.8-27b$0.15$1.881.0M
batchOpenRouterqwen/qwen3.8-27b:batch$0.16$2.00262K
standardTrustedRouterqwen/qwen3.8-27b$0.041$0.33866K
standardCloudflareqwen/qwen3.8-27b$0.45$3.20—

Recorded price history

DateInput / 1MOutput / 1MContext
2026-11-14$0.45$3.20—
2026-11-14$0.041$0.33866K
2026-11-14$0.15$1.881.0M

Capabilities

Vision (image input)Video inputAgentic tool useStructured outputsReasoning mode1M+ context windowControllable reasoningNo content storage (attested)Zero data retention

Trust flags come from TrustedRouter's per-provider attestations.

Supported parameters

frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_a, top_k, top_logprobs, top_p