Qwen 3.8 27B

Cerebras

cerebras/qwen-3.8-27b

Qwen 3.8 27B — fast 27B dense multimodal model, hosted on Cerebras. For agentic coding, tool use, research, and long-horizon work. Configurable reasoning (defaults high). See inference-docs.cerebras.ai/models/qwen-3.8-27b.

Context

131K

Input /1M

$0.99

Output /1M

$1.49

Latency (TTFT)

305ms

Pricing

Per 1M tokens, in USD

Input$0.99

Output$1.49

Cache read$0.99

Specs

text inimage intext out

Tokenizer—

Max output tokens—

Where it ranks on price

Against 165 routable models

Input$0.99

Cheaper than 49% of routable models

Output$1.49

Cheaper than 72% of routable models

Benchmarks

No third-party benchmark data available for this model yet.

Call this model

Swap in your Mizan key — the request/response bodies are OpenAI chat-completion shaped.

cURL

curl https://api.app-mizan.com/v1/chat/completions \
  -H "Authorization: Bearer mizan_rt_..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "cerebras/qwen-3.8-27b",
    "messages": [{ "role": "user", "content": "Say hi in five words." }]
  }'

Models

Qwen 3.8 27B

Cerebras

cerebras/qwen-3.8-27b

Qwen 3.8 27B — fast 27B dense multimodal model, hosted on Cerebras. For agentic coding, tool use, research, and long-horizon work. Configurable reasoning (defaults high). See inference-docs.cerebras.ai/models/qwen-3.8-27b.

Context

131K

Input /1M

$0.99

Output /1M

$1.49

Latency (TTFT)

305ms

Pricing

Per 1M tokens, in USD

Input$0.99

Output$1.49

Cache read$0.99

Specs

text inimage intext out

Tokenizer—

Max output tokens—

Where it ranks on price

Against 165 routable models

Input$0.99

Cheaper than 49% of routable models

Output$1.49

Cheaper than 72% of routable models

Benchmarks

No third-party benchmark data available for this model yet.

Call this model

Swap in your Mizan key — the request/response bodies are OpenAI chat-completion shaped.

cURL

curl https://api.app-mizan.com/v1/chat/completions \
  -H "Authorization: Bearer mizan_rt_..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "cerebras/qwen-3.8-27b",
    "messages": [{ "role": "user", "content": "Say hi in five words." }]
  }'