Mixtral 8x22B Instruct vs Qwen3 VL 8B Thinking (Comparative Analysis)
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Comparative Analysis: Mixtral 8x22B Instruct vs. Qwen3 VL 8B Thinking
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Overview
Mixtral 8x22B Instruct was released 1 year before Qwen3 VL 8B Thinking.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 65.5K tokens | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | Not specified tokens | 32.8K tokens |
Release Date When this model first became publicly available | April 17, 2024 2 years ago April 17th, 2024 | October 14, 2025 9 months ago October 14th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | January 31, 2024 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Mixtral 8x22B Instruct | Qwen3 VL 8B Thinking | |
|---|---|---|
Input Types Supported input formats | 📝Text📁File | 🖼️Image📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Not reported | Always enabled |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Mistral | Qwen3 |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
Mixtral 8x22B Instruct is roughly 16.7x more expensive compared to Qwen3 VL 8B Thinking for input tokens and roughly 4.4x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $2.00 per million tokens | $0.12 per million tokens |
Output Token Cost Cost per million output tokens | $6.00 per million tokens | $1.36 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.20 per million tokens | Not specified |
At a Glance
Quick overview of what makes Mixtral 8x22B Instruct and Qwen3 VL 8B Thinking unique.
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