Roboflow

Mistral Medium 3.1 vs Qwen3 VL 30B A3B Instruct

We don't benchmark Mistral Medium 3.1 or Qwen3 VL 30B A3B Instruct on Vision Evals. Mistral Medium 3.1 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. Qwen3 VL 30B A3B Instruct is cheaper per token ($0.15/M vs $0.40/M input). Test them side by side on your own images below.

Compare Mistral Medium 3.1 vs Qwen3 VL 30B A3B Instruct live

Run the same image across every model that supports a task and compare their outputs side-by-side.

Extract and compare text from images across multiple models.

Open OCR in the full playground
MistralMistral Medium 3.1
Run to compare this model.
QwenQwen3 VL 30B A3B Instruct
Run to compare this model.

Mistral Medium 3.1 vs Qwen3 VL 30B A3B Instruct Comparison Table

Pricing updated November 10, 2026

PropertyMistral Medium 3.1Qwen3 VL 30B A3B Instruct
OrganizationMistralQwen
Categoryclosedopen
Modalitymultimodalmultimodal
Release DateAug 2025Oct 2025
Context Window128K262K
ParametersUnknown31B
LicenseProprietaryApache 2.0
Commercial usecommercial use per vendor termsfree for commercial use
Pricing per 1M tokens
Input $/1M$0.400$0.150
Output $/1M$2.00$0.600
Vision Tasks
Object DetectionNot listedSupported
Both support 9 more tasks
Model Features
Both support 3 more features

Mistral Medium 3.1 vs Qwen3 VL 30B A3B Instruct: Overview

Mistral Medium 3.1

Mistral Medium 3.1, released in August 2025 as the mistral-medium-2508 update, is a proprietary frontier model from Mistral AI positioned between smaller open models and high-end closed LLMs. It is multimodal, handling both text and image inputs, with a context window of ~128K tokens.

Compared to Mistral Medium 3.0, the 3.1 release introduces improvements in reasoning, coding, STEM, and enterprise workflows, along with better tone control for conversational and business applications. It is designed for scalable enterprise deployments, including hybrid cloud and on-premises VPC setups. As part of Mistral’s Premier line, Medium 3.1 is a commercial-only offering: while it delivers strong accuracy and performance, trade-offs include higher costs than open-weight models, restricted fine-tuning access, and increased latency/cost for very large contexts.

Qwen3 VL 30B A3B Instruct

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.