Gemma 4 31B vs Qwen3 235B A22B Instruct 2507 (Comparative Analysis)
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Comparative Analysis: Gemma 4 31B vs. Qwen3 235B A22B Instruct 2507
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Overview
Qwen3 235B A22B Instruct 2507 was released 8 months before Gemma 4 31B.
 Gemma 4 31B |  Qwen3 235B A22B Instruct 2507 | |
|---|---|---|
Model Provider The organization behind this AI's development | Google | 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 | 262.1K tokens | 16.4K tokens |
Release Date When this model first became publicly available | April 2, 2026 3 months ago April 2nd, 2026 | 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
Gemma 4 31B | Qwen3 235B A22B Instruct 2507 | |
|---|---|---|
Input Types Supported input formats | 🖼️Image📝Text🎬Video | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Gemma | Qwen3 |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
Gemma 4 31B is roughly 1.6x more expensive compared to Qwen3 235B A22B Instruct 2507 for input tokens and roughly 0.7x less expensive for output tokens.
| Gemma 4 31B | Qwen3 235B A22B Instruct 2507 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.14 per million tokens | $0.09 per million tokens |
Output Token Cost Cost per million output tokens | $0.40 per million tokens | $0.55 per million tokens |
Benchmarks
Compare relevant benchmarks between Gemma 4 31B and Qwen3 235B A22B Instruct 2507.
| Gemma 4 31B | Qwen3 235B A22B Instruct 2507 | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 29.4 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 43.4 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 14.4 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 1,091 Elo (#85 in Data Viz (47.7% win rate)) |
At a Glance
Quick overview of what makes Gemma 4 31B and Qwen3 235B A22B Instruct 2507 unique.
Gemma 4 31B by Google understands both text and images, analyzes video, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 262.1K token context window. Very affordable at $0.14/M input and $0.40/M output tokens. Released April 2nd, 2026.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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🚀Programming
Best models for coding and development
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Models optimized for creative writing
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Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
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