gpt-oss-safeguard-20bvs Kimi Linear 48B A3B Instruct
Kimi Linear 48B A3B Instruct
Compare performance metrics, pricing, and capabilities of these AI models.
Key Differences
Context Length
Lower
gpt-oss-safeguard-20b: 131K (disadvantage)
Kimi Linear 48B A3B Instruct: 1.0M (advantage)
Cost Efficiency
Lower Cost
Prompt: $0.07M vs $0.30M
Completion: $0.30M vs $0.60M
Capabilities
gpt-oss-safeguard-20b
Modality: text->text
Inputs: text
Kimi Linear 48B A3B Instruct
Modality: text->text
Inputs: text
O
gpt-oss-safeguard-20b
openai/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 o...
Context Length131K
Prompt Price$0.07M
ReleasedOctober 29, 2025
Supports:
text->textM
Kimi Linear 48B A3B Instruct
moonshotai/kimi-linear-48b-a3b-instruct
Kimi Linear is a hybrid linear attention architecture that outperforms traditional full attention methods across various contexts, including short, lo...
Context Length1.0M
Prompt Price$0.30M
ReleasedNovember 8, 2025
Supports:
text->textDetailed Comparison
| Feature | | Kimi Linear 48B A3B Instruct |
|---|---|---|
| Context Length | 131K | 1.0M |
| Prompt Price | $0.07M | $0.30M |
| Completion Price | $0.30M | $0.60M |
| Modality | text->text | text->text |
| Release Date | October 29, 2025 | November 8, 2025 |
Analysis & Recommendations
Quick Summary
This comparison reveals key trade-offs between gpt-oss-safeguard-20b and Kimi Linear 48B A3B Instruct. Kimi Linear 48B A3B Instruct offers a larger context window of 1.0M compared to gpt-oss-safeguard-20b's 131K, though Kimi Linear 48B A3B Instruct comes at a higher cost.
gpt-oss-safeguard-20b Strengths
- •Competitive context size (131K)
- •More cost-effective per token
- •Specialized for text tasks
- •Proven and stable model
Kimi Linear 48B A3B Instruct Strengths
- •Larger context window (1.0M) for processing longer documents
- •Premium pricing for high-quality output
- •Specialized for text tasks
- •Latest generation model
When to Use Each Model
Choose gpt-oss-safeguard-20b when:
- • You need competitive context capability for complex tasks
- • Cost efficiency is important in your use case
- • Working with text-based tasks that benefit from deep analysis
Choose Kimi Linear 48B A3B Instruct when:
- • You need the larger context window for long-form content
- • Cost efficiency is not the primary concern for your budget
- • Working with text-based tasks that require advanced processing
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