Qwen / qwen/qwen3-vl-235b-a22b-instruct

Qwen3-VL-235B-A22B-Instruct - access through LLMTR

Qwen3-VL-235B-A22B-Instruct is the largest open-weight vision-language model in the Qwen3-VL line, a Mixture-of-Experts model that runs 22 billion of its 235 billion parameters per token. It reads text and images together and suits document and screenshot reading, OCR, chart and table interpretation, and visual question answering. It answers directly, without a reasoning step. The 262,144-token context window is shared between input and output. It supports tool calling, JSON mode and JSON Schema structured output, accepts text and image input (base64 or an https link), and produces text.

Technical specifications

Canonical IDqwen/qwen3-vl-235b-a22b-instruct
ProviderQwen
Context window262,144 tokens
OperationsCHAT_COMPLETIONS
Modalitiestext, image

Pricing

An 8% platform margin applies to credit top-ups; model usage prices are not separately marked up.

OperationMetricUnitPrice
CHAT_COMPLETIONSINPUT_TEXTPER_1M_TOKENS$0.200000
CHAT_COMPLETIONSCACHE_READPER_1M_TOKENS$0.110000
CHAT_COMPLETIONSOUTPUT_TEXTPER_1M_TOKENS$0.880000

Example usage

With existing OpenAI SDK flows, change only the base URL and model identifier.

curl https://llmtr.com/v1/chat/completions   -H "Authorization: Bearer llmtr-your_key"   -H "Content-Type: application/json"   -d '{"model":"qwen/qwen3-vl-235b-a22b-instruct","messages":[{"role":"user","content":"Hello"}]}'

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