Claude Opus 4.7 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 Claude Opus 4.7 and gpt-oss-safeguard-20b.
Claude Opus 4.7
Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...
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 | Claude Opus 4.7 | gpt-oss-safeguard-20b |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Context Window | 1,000,000 tokens | 131,072 tokens |
| Agent Suitability | 96/100 | N/A |
| Time to First Token (TTFT) | 480 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-16 | 2025-10-29 |
API Pricing Comparison
Input Price per Million Tokens
Claude Opus 4.7
$5.00
gpt-oss-safeguard-20b
$0.07
Output Price per Million Tokens
Claude Opus 4.7
$25.00
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.
Claude Opus 4.7 Quirks & Gotchas
- ▸Top-tier agentic coding model — excels at autonomous software engineering
- ▸Requires explicit tool_choice parameter for parallel function calling to work reliably
gpt-oss-safeguard-20b Quirks & Gotchas
No developer gotchas reported.