Gemma 4 31B vs gpt-oss-safeguard-20b
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-oss-safeguard-20b.
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-oss-safeguard-20b
gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, LLM filtering, and trust...
Technical Specifications
| Specification | Gemma 4 31B | gpt-oss-safeguard-20b |
|---|---|---|
| Provider | OpenAI | |
| Context Window | 262,144 tokens | 131,072 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 | 2025-10-29 |
API Pricing Comparison
Input Price per Million Tokens
Gemma 4 31B
$0.12
gpt-oss-safeguard-20b
$0.07
Output Price per Million Tokens
Gemma 4 31B
$0.35
gpt-oss-safeguard-20b
$0.30
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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-oss-safeguard-20b Quirks & Gotchas
No developer gotchas reported.