| Signal | gpt-oss-safeguard-20b | Delta | Llama 3.2 3B Instruct |
|---|---|---|---|
Capabilities | 67 | +50 | |
Pricing | 100 | -- | |
Context window size | 81 | +3 | |
Recency | 98 | +73 | |
Output Capacity | 80 | +60 | |
Benchmarks | 0 | -33 | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
40
current score
gpt-oss-safeguard-20b
right now
33.2
current score
OpenAI
Meta
Llama 3.2 3B Instruct saves you $0.40/month
That's $4.80/year compared to gpt-oss-safeguard-20b at your current usage level of 100K calls/month.
| Metric | gpt-oss-safeguard-20b | Llama 3.2 3B Instruct | Winner |
|---|---|---|---|
| Overall Score | 40 | 33 | gpt-oss-safeguard-20b |
| Rank | #241 | #333 | gpt-oss-safeguard-20b |
| Quality Rank | #241 | #333 | gpt-oss-safeguard-20b |
| Adoption Rank | #241 | #333 | gpt-oss-safeguard-20b |
| Parameters | 20B | 3B | -- |
| Context Window | 131K | 80K | gpt-oss-safeguard-20b |
| Pricing | $0.07/$0.30/M | $0.05/$0.34/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 17 | gpt-oss-safeguard-20b |
| Pricing | 100 | 100 | gpt-oss-safeguard-20b |
| Context window size | 81 | 78 | gpt-oss-safeguard-20b |
| Recency | 98 | 25 | gpt-oss-safeguard-20b |
| Output Capacity | 80 | 20 | gpt-oss-safeguard-20b |
| Benchmarks | -- | 33 | Llama 3.2 3B Instruct |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 40/100 (rank #241), placing it in the top 17% of all 290 models tracked.
Scores 33/100 (rank #333), placing it in the top -14% of all 290 models tracked.
gpt-oss-safeguard-20b has a 7-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. gpt-oss-safeguard-20b also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.30/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content
gpt-oss-safeguard-20b has a moderate advantage with a 6.799999999999997-point lead in composite score. It wins on more signal dimensions, but Llama 3.2 3B Instruct has specific strengths that could make it the better choice for certain workflows.
Best for Quality
gpt-oss-safeguard-20b
Marginally better benchmark scores; both are excellent
Best for Cost
gpt-oss-safeguard-20b
4% lower pricing; better value at scale
Best for Reliability
gpt-oss-safeguard-20b
Higher uptime and faster response speeds
Best for Prototyping
gpt-oss-safeguard-20b
Stronger community support and better developer experience
Best for Production
gpt-oss-safeguard-20b
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | gpt-oss-safeguard-20b | Llama 3.2 3B Instruct |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
OpenAI
Meta
gpt-oss-safeguard-20b saves you $0.004800/month
That's 1% cheaper than Llama 3.2 3B Instruct at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | gpt-oss-safeguard-20b | Llama 3.2 3B Instruct |
|---|---|---|
| Context Window | 131K | 80K |
| Max Output Tokens | 65,536 | -- |
| Open Source | Yes | Yes |
| Created | Oct 29, 2025 | Sep 25, 2024 |