Gemma 4 31B vs Qwen-Plus (Comparative Analysis)
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Comparative Analysis: Gemma 4 31B vs. Qwen-Plus
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Overview
Qwen-Plus was released 1 year before Gemma 4 31B.
 Gemma 4 31B |  Qwen-Plus | |
|---|---|---|
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 | 1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 262.1K tokens | 32.8K tokens |
Release Date When this model first became publicly available | April 2, 2026 3 months ago April 2nd, 2026 | February 1, 2025 1 year ago February 1st, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | March 31, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Gemma 4 31B | Qwen-Plus | |
|---|---|---|
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 | Qwen |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
Gemma 4 31B is roughly 0.5x less expensive compared to Qwen-Plus for input tokens and roughly 0.5x less expensive for output tokens.
| Gemma 4 31B | Qwen-Plus | |
|---|---|---|
Short Context Pricing Base rates before a long-context threshold applies | ||
Input Token Cost Cost per million input tokens | $0.14 per million tokens | $0.26 per million tokens |
Output Token Cost Cost per million output tokens | $0.40 per million tokens | $0.78 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.05 per million tokens |
Cache Write Cost Cost to write input tokens to the cache | Not specified | $0.33 per million tokens |
Long Context Pricing Rates for prompts with 256,000 or more tokens | ||
Input Token Cost Long-context input cost per million tokens | Not specified | $0.78 per million tokens |
Output Token Cost Long-context output cost per million tokens | Not specified | $2.34 per million tokens |
Cache Read Cost Long-context cache read cost per million tokens | Not specified | $0.16 per million tokens |
Cache Write Cost Long-context cache write cost per million tokens | Not specified | $0.97 per million tokens |
Benchmarks
Compare relevant benchmarks between Gemma 4 31B and Qwen-Plus.
| Gemma 4 31B | Qwen-Plus | |
|---|---|---|
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. |
At a Glance
Quick overview of what makes Gemma 4 31B and Qwen-Plus 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.Qwen-Plus by Qwen can use external tools and APIs, generates structured data. It can handle standard conversations with its 1M token context window. Very affordable at $0.26/M input and $0.78/M output tokens. Released February 1st, 2025.Explore More Comparisons
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