Gemma 4 31B vs GPT-5.6 Luna
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 GPT-5.6 Luna.
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...
GPT-5.6 Luna
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...
Technical Specifications
| Specification | Gemma 4 31B | GPT-5.6 Luna |
|---|---|---|
| Provider | OpenAI | |
| Context Window | 262,144 tokens | 1,050,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | beta |
| API Available | Yes | Yes |
| Released Date | 2026-04-02 | 2026-07-09 |
API Pricing Comparison
Input Price per Million Tokens
Gemma 4 31B
$0.12
GPT-5.6 Luna
$1.00
Output Price per Million Tokens
Gemma 4 31B
$0.35
GPT-5.6 Luna
$6.00
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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.
GPT-5.6 Luna Quirks & Gotchas
No developer gotchas reported.