gpt-oss-safeguard-20b vs Relace Apply 3
gpt-oss-safeguard-20b costs 4.2x less per output token than Relace Apply 3 ($0.30 vs $1.25 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.30
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.25
gpt-oss-safeguard-20b or Relace Apply 3: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick gpt-oss-safeguard-20b for output tokens 4.2x cheaper ($0.30 vs $1.25 per million).
No benchmark has tested either model yet, so price and context are the only way to compare them.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Long documents
Listed context window
Relace Apply 3
Relace Apply 3 takes 256K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
gpt-oss-safeguard-20b
gpt-oss-safeguard-20b $0.0002, Relace Apply 3 $0.0015 per turn.
List prices
At a glance
- Coding index
- gpt-oss-safeguard-20b not benchmarked, Relace Apply 3 not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- gpt-oss-safeguard-20b $0.30 against Relace Apply 3 $1.25 per million output tokens, 4.2x apart.
- Context window
- gpt-oss-safeguard-20b takes 131K tokens, Relace Apply 3 256K.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
gpt-oss-safeguard-20b costs less
Repository review
50K input + 3K output tokens
gpt-oss-safeguard-20b costs less
Agent loop
200K input + 10K output tokens
gpt-oss-safeguard-20b costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | OpenAI gpt-oss-safeguard-20b | Relace Apply 3 |
|---|---|---|
| Maker | OpenAI | Relace |
| Weights | Open weights | No public weights listed |
| Released | October 29, 2025 | September 26, 2025 |
| Context window | 131K | 256K |
| Input $/Mtok | $0.075 | $0.85 |
| Output $/Mtok | $0.30 | $1.25 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is gpt-oss-safeguard-20b better than Relace Apply 3 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick gpt-oss-safeguard-20b for output tokens 4.2x cheaper ($0.30 vs $1.25 per million).
Which is cheaper, gpt-oss-safeguard-20b or Relace Apply 3?
gpt-oss-safeguard-20b costs $0.075 per million input tokens and $0.30 per million output tokens; Relace Apply 3 costs $0.85 and $1.25. Cost per solved task is known for neither of them.
Which has the bigger context window, gpt-oss-safeguard-20b or Relace Apply 3?
Relace Apply 3, with 256K tokens against 131K.
Has any benchmark tested both gpt-oss-safeguard-20b and Relace Apply 3?
No benchmark has tested either model yet, so price and context are the only way to compare them. Data as of October 22, 2026.