Gemma 4 31B vs Qwen3 235B A22B Instruct 2507
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Gemma 4 31B and Qwen3 235B A22B Instruct 2507.
Gemma 4 31B
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...
Qwen3 235B A22B Instruct 2507
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...
Technical Specifications
| Specification | Gemma 4 31B | Qwen3 235B A22B Instruct 2507 |
|---|---|---|
| Provider | Alibaba | |
| Context Window | 262,144 tokens | 262,144 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-02 | 2025-07-21 |
API Pricing Comparison
Input Price per Million Tokens
Gemma 4 31B
$0.12
Qwen3 235B A22B Instruct 2507
$0.09
Output Price per Million Tokens
Gemma 4 31B
$0.35
Qwen3 235B A22B Instruct 2507
$0.10
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Gemma 4 31B Quirks & Gotchas
No developer gotchas reported.
Qwen3 235B A22B Instruct 2507 Quirks & Gotchas
No developer gotchas reported.