Mistral Small 3.1 24B vs Qwen3 VL 30B A3B Instruct
We don't benchmark Mistral Small 3.1 24B or Qwen3 VL 30B A3B Instruct on Vision Evals. Both are open-weight under Apache 2.0, so either is free for commercial use. Qwen3 VL 30B A3B Instruct is cheaper per token ($0.15/M vs $0.35/M input). Test them side by side on your own images below.
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Mistral Small 3.1 24B vs Qwen3 VL 30B A3B Instruct Comparison Table
Pricing updated November 10, 2026
| Property | Mistral Small 3.1 24B | Qwen3 VL 30B A3B Instruct |
|---|---|---|
| Organization | Mistral | Qwen |
| Category | open | open |
| Modality | multimodal | multimodal |
| Release Date | Mar 2025 | Oct 2025 |
| Context Window | 128K | 262K |
| Parameters | 24B | 31B |
| License | Apache 2.0 | Apache 2.0 |
| Commercial use | free for commercial use | free for commercial use |
| Pricing per 1M tokens | ||
| Input $/1M | $0.351 | $0.150 |
| Output $/1M | $0.555 | $0.600 |
| Vision Tasks | ||
| Object Detection | Not listed | Supported |
| Model Features | ||
Both support 3 more features | ||
Mistral Small 3.1 24B vs Qwen3 VL 30B A3B Instruct: Overview
Mistral Small 3.1 24B, released on March 17, 2025, is an open-weight multimodal model from Mistral AI, distributed under the Apache-2.0 license. With around 24B parameters and a 128K token context window, it is available in both base and instruction-tuned (“Instruct”) variants. The model introduces vision support alongside text, enabling tasks like multimodal reasoning, captioning, and image-based Q&A.
It is multilingual, supporting many languages, and is optimized for fast responses, function calling, structured dialogue, and long-context reasoning. Despite its size, the model can be run locally in quantized formats, fitting on machines with ~32GB RAM, making it accessible to developers outside large cloud setups. However, the output length is smaller than the 128K input window, meaning long generations may require chaining. In addition, using full vision features or the maximum context window significantly increases compute costs, and performance on highly complex reasoning or enterprise-scale tasks still trails larger proprietary frontier models.
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.