Mistral Large 3 2512 vs Qwen3 235B A22B Instruct 2507 (Comparative Analysis)
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Comparative Analysis: Mistral Large 3 2512 vs. Qwen3 235B A22B Instruct 2507
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Overview
Qwen3 235B A22B Instruct 2507 was released 4 months before Mistral Large 3 2512.
 Mistral Large 3 2512 |  Qwen3 235B A22B Instruct 2507 | |
|---|---|---|
Model Provider The organization behind this AI's development | Mistral | Qwen |
Input Context Window Maximum input tokens this model can process at once | 262.1K tokens | 262.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | Not specified tokens | 16.4K tokens |
Release Date When this model first became publicly available | December 1, 2025 7 months ago December 1st, 2025 | July 21, 2025 1 year ago July 21st, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | June 30, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Mistral Large 3 2512 | Qwen3 235B A22B Instruct 2507 | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image📁File | 📝Text |
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 OutputReasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
Mistral Large 3 2512 is roughly 5.6x more expensive compared to Qwen3 235B A22B Instruct 2507 for input tokens and roughly 2.7x more expensive for output tokens.
| Mistral Large 3 2512 | Qwen3 235B A22B Instruct 2507 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.50 per million tokens | $0.09 per million tokens |
Output Token Cost Cost per million output tokens | $1.50 per million tokens | $0.55 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.05 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between Mistral Large 3 2512 and Qwen3 235B A22B Instruct 2507.
| Mistral Large 3 2512 | Qwen3 235B A22B Instruct 2507 | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 15.9 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 20.1 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 5.5 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,187 Elo (#61 in Website (49.4% win rate)) | 1,088 Elo (#85 in Data Viz (47.7% win rate)) |
At a Glance
Quick overview of what makes Mistral Large 3 2512 and Qwen3 235B A22B Instruct 2507 unique.
Mistral Large 3 2512 by Mistral understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 262.1K token context window. Reasonably priced at $0.50/M input and $1.50/M output tokens. Released December 1st, 2025.Qwen3 235B A22B Instruct 2507 by Qwen can use external tools and APIs, generates structured data. It can handle standard conversations with its 262.1K token context window. Very affordable at $0.09/M input and $0.55/M output tokens. Released July 21st, 2025.Explore More Comparisons
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Compare Qwen3 235B A22B Instruct 2507 with:
🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
Scientific research and analysis
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