Qwen: Qwen3.8 27B

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...

Context

1M

Input /1M

$0.425

Output /1M

$2.55

Latency (TTFT)

901ms

Pricing

Per 1M tokens, in USD

Input$0.425

Output$2.55

Cache read$0.085

Cache write (5m)$0.5313

Specs

text inimage invideo intext out

TokenizerQwen

Max output tokens131,072

Supported parameters

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p

Where it ranks on price

Against 157 routable models

Input$0.425

Cheaper than 53% of routable models

Output$2.55

Cheaper than 45% of routable models

Benchmarks

Intelligence33.9

Coding68.1

Agentic46.5

Composite scores (0–100) from Artificial Analysis, via OpenRouter's model catalog.

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": "qwen/qwen3.8-27b",
    "messages": [{ "role": "user", "content": "Say hi in five words." }]
  }'

Models

Qwen: Qwen3.8 27B

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...

Context

1M

Input /1M

$0.425

Output /1M

$2.55

Latency (TTFT)

901ms

Pricing

Per 1M tokens, in USD

Input$0.425

Output$2.55

Cache read$0.085

Cache write (5m)$0.5313

Specs

text inimage invideo intext out

TokenizerQwen

Max output tokens131,072

Supported parameters

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p

Where it ranks on price

Against 157 routable models

Input$0.425

Cheaper than 53% of routable models

Output$2.55

Cheaper than 45% of routable models

Benchmarks

Intelligence33.9

Coding68.1

Agentic46.5

Composite scores (0–100) from Artificial Analysis, via OpenRouter's model catalog.

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": "qwen/qwen3.8-27b",
    "messages": [{ "role": "user", "content": "Say hi in five words." }]
  }'