Gemma 4 31B vs GPT-3.5 Turbo
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-3.5 Turbo.
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-3.5 Turbo
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
Technical Specifications
| Specification | Gemma 4 31B | GPT-3.5 Turbo |
|---|---|---|
| Provider | OpenAI | |
| Context Window | 262,144 tokens | 16,385 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 | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-02 | 2023-05-28 |
API Pricing Comparison
Input Price per Million Tokens
Gemma 4 31B
$0.12
GPT-3.5 Turbo
$0.50
Output Price per Million Tokens
Gemma 4 31B
$0.35
GPT-3.5 Turbo
$1.50
Want to test both models live?
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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-3.5 Turbo Quirks & Gotchas
No developer gotchas reported.