Claude Haiku 4.5 vs Qwen3 VL 8B Instruct
We don't benchmark Claude Haiku 4.5 or Qwen3 VL 8B Instruct on Vision Evals. Claude Haiku 4.5 is proprietary under Proprietary: commercial use per vendor terms. Qwen3 VL 8B Instruct is open-weight under Apache 2.0: free for commercial use. Qwen3 VL 8B Instruct is cheaper per token ($0.25/M vs $1/M input). Test them side by side on your own images below.
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Claude Haiku 4.5 vs Qwen3 VL 8B Instruct Comparison Table
Pricing updated November 7, 2026
| Property | Claude Haiku 4.5 | Qwen3 VL 8B Instruct |
|---|---|---|
| Organization | Anthropic | Qwen |
| Category | closed | open |
| Modality | multimodal | multimodal |
| Release Date | Oct 2025 | Oct 2025 |
| Context Window | 200K | 256K |
| Parameters | Unknown | 8.8B |
| License | Proprietary | Apache 2.0 |
| Commercial use | commercial use per vendor terms | free for commercial use |
| Pricing per 1M tokens | ||
| Input $/1M | $1.00 | $0.250 |
| Output $/1M | $5.00 | $0.750 |
| Vision Tasks | ||
| Classification | Demo | Supported |
| Object Detection | Demo | Supported |
| Model Features | ||
Both support 3 more features | ||
Claude Haiku 4.5 vs Qwen3 VL 8B Instruct: Overview
Claude Haiku 4.5 is Anthropic’s lightweight model in the Claude 4.5 series, released in October 2025 under a proprietary license. Designed for speed and cost efficiency, it delivers near-frontier performance while maintaining Anthropic’s AI Safety Level 2 standard. Haiku 4.5 supports both text and multimodal (text and image) inputs, integrates tool use and extended reasoning, and features a 200,000 token context window, making it adept at handling long or complex workflows. Haiku 4.5 is ideal for developers and researchers seeking rapid, cost-effective model calls for analysis, coding, or multimodal understanding.
Qwen3 VL 8B Instruct is an open-weight multimodal vision-language model developed by Qwen / Alibaba Cloud as part of the Qwen3-VL series, designed for instruction-following tasks that combine text with visual inputs such as images and video. Released around October 2025 under the Apache-2.0 license, it targets developers who need capable multimodal reasoning without the scale or cost of very large models.
The model contains roughly 8.8 billion dense parameters and supports text, image, and video understanding with strong spatial perception, visual reasoning, and emerging visual agent abilities such as GUI interaction. A standout feature is its native ~256K token context window, extendable to around 1M tokens, enabling long-document reading and extended video comprehension. In today’s landscape, it balances openness, long-context capacity, and solid multimodal performance against heavier proprietary models. Typical applications include multimodal assistants, document and video analysis, visual question answering, and research or product prototyping where transparency and deployability matter.