Qwen: Qwen3 8B

Qwen

qwen/qwen3-8b

Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...

Context

131K

Input /1M

$0.117

Output /1M

$0.455

Latency (TTFT)

591ms

Pricing

Per 1M tokens, in USD

Input$0.117

Output$0.455

Specs

text intext out

TokenizerQwen3

Max output tokens8,192

Supported parameters

frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningresponse_formatseedstoptemperaturetool_choicetoolstop_ktop_p

Where it ranks on price

Against 157 routable models

Input$0.117

Cheaper than 90% of routable models

Output$0.455

Cheaper than 90% of routable models

Benchmarks

Intelligence5.2

Coding9.0

Agentic0.8

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

Models

Qwen: Qwen3 8B

Qwen

qwen/qwen3-8b

Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...

Context

131K

Input /1M

$0.117

Output /1M

$0.455

Latency (TTFT)

591ms

Pricing

Per 1M tokens, in USD

Input$0.117

Output$0.455

Specs

text intext out

TokenizerQwen3

Max output tokens8,192

Supported parameters

frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningresponse_formatseedstoptemperaturetool_choicetoolstop_ktop_p

Where it ranks on price

Against 157 routable models

Input$0.117

Cheaper than 90% of routable models

Output$0.455

Cheaper than 90% of routable models

Benchmarks

Intelligence5.2

Coding9.0

Agentic0.8

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