Qwen3 VL 235B A22B Thinking

qwen/qwen3-vl-235b-a22b-thinking
by Qwen · text+image+video in · text out · 131.1K ctx · 2025-09-23

Qwen3-VL 235B-A22B Thinking — open-weight vision-language reasoning model, 235B total / 22B active p…

INPUT$0.40/ 1M tokens
OUTPUT$4.00/ 1M tokens
p50 TTFT2.98 s7d
p95 TTFT4.64 s7d
TRAFFIC84.3Ktokens / 7d
Code samples
from openai import OpenAI

client = OpenAI(
    base_url="https://orcarouter.ai/v1",
    api_key="$ORCAROUTER_API_KEY",
)

response = client.chat.completions.create(
    model="qwen/qwen3-vl-235b-a22b-thinking",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)
Pricing
Input / 1M tokens$0.400
Output / 1M tokens$4.00
CurrencyUSD
Performance
TTFT p50
2.98 s
Output speed
269 tok/s
TTFT p95
4.64 s
Error rate
5.1%
Public benchmarks
No public benchmark scores ingested yet.
FAQ
How much does Qwen: Qwen3 VL 235B A22B Thinking cost on OrcaRouter?
Qwen: Qwen3 VL 235B A22B Thinking is priced at $0.40 per 1M input tokens and $4.00 per 1M output tokens via OrcaRouter. Pricing is pulled live from the routing layer.
What is Qwen: Qwen3 VL 235B A22B Thinking's context window?
Qwen: Qwen3 VL 235B A22B Thinking supports a context window of 131K tokens. Use long-context features (RAG, summarisation) up to that limit.
How do I call Qwen: Qwen3 VL 235B A22B Thinking via the OpenAI SDK?
Set OpenAI base_url to https://orcarouter.ai/v1, supply your OrcaRouter API key, and pass model="qwen/qwen3-vl-235b-a22b-thinking" in the chat.completions.create call.
Does OrcaRouter rate-limit Qwen: Qwen3 VL 235B A22B Thinking?
Per-model rate limits follow your OrcaRouter plan. Free tiers ship with conservative caps; paid tiers lift them. Check /pricing for current quotas.
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Qwen: Qwen3 VL 235B A22B Thinking$0.40/M in2979ms p50via OrcaRouter
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