Claude 3.7 Sonnet vs Qwen3 VL 30B A3B Instruct
We don't benchmark Claude 3.7 Sonnet or Qwen3 VL 30B A3B Instruct on Vision Evals. Claude 3.7 Sonnet is proprietary under Proprietary: commercial use per vendor terms. Qwen3 VL 30B A3B Instruct is open-weight under Apache 2.0: free for commercial use.
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Claude 3.7 Sonnet is deprecated and can no longer be run. Details and evals are still available on its model page.
Claude 3.7 Sonnet vs Qwen3 VL 30B A3B Instruct Comparison Table
Pricing updated November 4, 2026
| Property | Claude 3.7 Sonnet | Qwen3 VL 30B A3B Instruct |
|---|---|---|
| Organization | Anthropic | Qwen |
| Category | closed | open |
| Modality | multimodal | multimodal |
| Release Date | Feb 2024 | Oct 2025 |
| Context Window | 200K | 262K |
| Parameters | Unknown | 31B |
| License | Proprietary | Apache 2.0 |
| Commercial use | commercial use per vendor terms | free for commercial use |
| Pricing per 1M tokens | ||
| Input $/1M | No published price | $0.150 |
| Output $/1M | No published price | $0.600 |
| Vision Tasks | ||
| Captioning | Supported | Demo |
| OCR | Supported | Demo |
| Visual Question Answering | Supported | Demo |
| Model Features | ||
Both support 3 more features | ||
Claude 3.7 Sonnet vs Qwen3 VL 30B A3B Instruct: Overview
Claude 3.7 Sonnet, released by Anthropic in February 2025, is the company’s first hybrid reasoning model, combining fast response generation with an optional “extended thinking mode” that reveals longer, step-by-step reasoning. Like its predecessors, it is multimodal, handling both text and images, but expands its usability with up to 200,000 input tokens and up to 128,000 output tokens (64K generally available, 128K in beta). This makes it well-suited for analyzing large documents, codebases, or multi-turn conversations.
Typical applications include software development, research workflows, extended reasoning tasks, and enterprise-scale knowledge work where a trade-off between speed and visible reasoning is valuable.
Qwen3 VL 30B A3B Instruct is an open-weight multimodal large language model developed by Alibaba as part of the Qwen family, built for instruction-following tasks that unify text generation with visual and video understanding. Released around October 2025 under the Apache-2.0 license, it targets efficient, high-fidelity vision-language reasoning across very long contexts.
The model accepts text and image inputs and produces text outputs, with strong performance in OCR, spatial reasoning, long-video understanding, and agentic or GUI-centric visual tasks. It uses a Mixture-of-Experts (A3B) design with ~31.1B total parameters and ~3B active per token, paired with Qwen3-VL’s unified multimodal stack (including Interleaved-MRoPE and DeepStack fusion) to process text, images, and video in a single architecture. OCR support expands to 32 languages, enhancing document workflows. With a native ~262K token context window (extendable further), it stands out today for its balance of scale, efficiency, long-context support, and open accessibility in multimodal systems.