Qwen: Qwen3 VL 8B Instruct
QWEN Developer Architecture Profile
Intelligence (ELO)1150Chatbot Arena Verified
Max Context131,072Tokens
API Cost / 1M$0.58Blended Prompt + Completion
Model Capabilities
- Drafting
- Classification
- Vision
Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon temporal reasoning, DeepStack for fine-grained visual-text alignment, and text-timestamp alignment for precise event localization.
The model supports a native 256K-token context window, extensible to 1M tokens, and handles both static and dynamic media inputs for tasks like document parsing, visual question answering, spatial reasoning, and GUI control. It achieves text understanding comparable to leading LLMs while expanding OCR coverage to 32 languages and enhancing robustness under varied visual conditions.
Granular Pricing Matrix
Input Tokens (Prompt)$0.08 / 1M
Output Tokens (Completion)$0.50 / 1M
Pricing data via OpenRouter. Sync: 3/16/2026
Evaluate Competitors
VS Engine MatchupQwen: Qwen3 VL 8B Instruct vs ByteDance Seed: Seed-2.0-LiteVS Engine MatchupQwen: Qwen3 VL 8B Instruct vs Qwen: Qwen3.5-35B-A3BVS Engine MatchupQwen: Qwen3 VL 8B Instruct vs Qwen: Qwen3.5-FlashVS Engine MatchupQwen: Qwen3 VL 8B Instruct vs MiniMax: MiniMax M2.5 (free)VS Engine MatchupQwen: Qwen3 VL 8B Instruct vs MiniMax: MiniMax M2.5VS Engine MatchupQwen: Qwen3 VL 8B Instruct vs StepFun: Step 3.5 Flash (free)