Qwen: Qwen3 VL 8B Thinking

Image input Text input Text output
Author's Description

Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences. It integrates enhanced multimodal alignment and long-context processing (native 256K, expandable to 1M tokens) for tasks such as scientific visual analysis, causal inference, and mathematical reasoning over image or video inputs. Compared to the Instruct edition, the Thinking version introduces deeper visual-language fusion and deliberate reasoning pathways that improve performance on long-chain logic tasks, STEM problem-solving, and multi-step video understanding. It achieves stronger temporal grounding via Interleaved-MRoPE and timestamp-aware embeddings, while maintaining robust OCR, multilingual comprehension, and text generation on par with large text-only LLMs.

Key Specifications
Cost
$$$$$
Context
256K
Parameters
8B
Released
Oct 14, 2025
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Reasoning Max Tokens Temperature Top P Response Format Presence Penalty Structured Outputs Tools Seed Include Reasoning Tool Choice
Features

This model supports the following features:

Tools Response Format Structured Outputs Reasoning
Performance Summary

Qwen3-VL-8B-Thinking, a reasoning-optimized multimodal model, exhibits a tendency towards longer response times, ranking in the 12th percentile for speed. Its pricing is moderate, placing it in the 35th percentile. The model demonstrates a notable strength in Email Classification, achieving 98.0% accuracy, which is a competitive performance. However, its performance across other benchmark categories is generally low. It shows a reasonable ability to acknowledge uncertainty in the Hallucinations benchmark with 74.0% accuracy, though this is still in the lower quartile. Significant weaknesses are observed in General Knowledge (3.0% accuracy), Ethics (13.0% accuracy), Reasoning (20.4% accuracy), Mathematics (18.0% accuracy), and Coding (27.1% accuracy), where it consistently ranks in the lower percentiles. The model's design for advanced visual and textual reasoning, particularly in long-chain logic and STEM problem-solving, is not fully reflected in these baseline benchmark results, suggesting its specialized capabilities might not be adequately captured by these general tests. Its high duration metrics across several benchmarks further underscore its slower processing.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.18
Completion $2.1

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Alibaba
Alibaba | qwen/qwen3-vl-8b-thinking 256K $0.18 / 1M tokens $2.1 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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