gpt-oss-safeguard-20b vs MiniMax M2-her
gpt-oss-safeguard-20b costs 4.0x less per output token than MiniMax M2-her ($0.30 vs $1.20 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
- $1.20
gpt-oss-safeguard-20b or MiniMax M2-her: 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 4.0x cheaper ($0.30 vs $1.20 per million) and a larger context window (131K against 66K tokens).
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
gpt-oss-safeguard-20b
gpt-oss-safeguard-20b takes 131K tokens against 66K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
gpt-oss-safeguard-20b
gpt-oss-safeguard-20b $0.0002, MiniMax M2-her $0.0009 per turn.
List prices
At a glance
- Coding index
- gpt-oss-safeguard-20b not benchmarked, MiniMax M2-her 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 MiniMax M2-her $1.20 per million output tokens, 4.0x apart.
- Context window
- gpt-oss-safeguard-20b takes 131K tokens, MiniMax M2-her 66K.
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 | MiniMax M2-her |
|---|---|---|
| Maker | OpenAI | MiniMax |
| Weights | Open weights | No public weights listed |
| Released | October 29, 2025 | January 23, 2026 |
| Context window | 131K | 66K |
| Input $/Mtok | $0.075 | $0.30 |
| Output $/Mtok | $0.30 | $1.20 |
| 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 MiniMax M2-her 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 4.0x cheaper ($0.30 vs $1.20 per million) and a larger context window (131K against 66K tokens).
Which is cheaper, gpt-oss-safeguard-20b or MiniMax M2-her?
gpt-oss-safeguard-20b costs $0.075 per million input tokens and $0.30 per million output tokens; MiniMax M2-her costs $0.30 and $1.20. Cost per solved task is known for neither of them.
Which has the bigger context window, gpt-oss-safeguard-20b or MiniMax M2-her?
gpt-oss-safeguard-20b, with 131K tokens against 66K.
Has any benchmark tested both gpt-oss-safeguard-20b and MiniMax M2-her?
No benchmark has tested either model yet, so price and context are the only way to compare them. Data as of October 22, 2026.