gpt-oss-safeguard-20b vs Qwen3.6 Flash
gpt-oss-safeguard-20b costs 3.8x less per output token than Qwen3.6 Flash ($0.30 vs $1.125 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
- $1.125
gpt-oss-safeguard-20b or Qwen3.6 Flash: 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 3.8x cheaper ($0.30 vs $1.125 per million).
No benchmark has tested both yet. gpt-oss-safeguard-20b has none yet; Qwen3.6 Flash on ALE-Bench, Epoch Capabilities Index and GPQA Diamond (Epoch AI run). Compare them on price and context instead.
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
Qwen3.6 Flash
Qwen3.6 Flash takes 1M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
gpt-oss-safeguard-20b
gpt-oss-safeguard-20b $0.0002, Qwen3.6 Flash $0.0008 per turn.
List prices
At a glance
- Coding index
- gpt-oss-safeguard-20b not benchmarked, Qwen3.6 Flash 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 Qwen3.6 Flash $1.125 per million output tokens, 3.8x apart.
- Context window
- gpt-oss-safeguard-20b takes 131K tokens, Qwen3.6 Flash 1M.
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.
CodingDirectional onlySix of these boards feed the Vibe Coding Index1 board measured
| Benchmark | gpt-oss-safeguard-20b | Qwen3.6 Flash | Leader |
|---|---|---|---|
| ALE-Bench | Not measured | 326.4 | Only Qwen3.6 Flash measured |
| Neither model has a result on the other 42 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | gpt-oss-safeguard-20b | Qwen3.6 Flash | Leader |
|---|---|---|---|
| Epoch Capabilities Index | Not measured | 142.9 | Only Qwen3.6 Flash measured |
| Neither model has a result on the other 1 board here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | gpt-oss-safeguard-20b | Qwen3.6 Flash | Leader |
|---|---|---|---|
| GPQA Diamond (Epoch AI run) | Not measured | 83.3% | Only Qwen3.6 Flash measured |
| SimpleBench | Not measured | 35.2% | Only Qwen3.6 Flash measured |
| Chess puzzles | Not measured | 12.0% | Only Qwen3.6 Flash measured |
| Mystery game puzzles | Not measured | 18.0% | Only Qwen3.6 Flash measured |
| Neither model has a result on the other 19 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | gpt-oss-safeguard-20b | Qwen3.6 Flash | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 84.4% | Only Qwen3.6 Flash measured |
| FrontierMath, tiers 1 to 3 | Not measured | 22.5% | Only Qwen3.6 Flash measured |
| Neither model has a result on the other 12 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | gpt-oss-safeguard-20b | Qwen3.6 Flash | Leader |
|---|---|---|---|
| SimpleQA Verified | Not measured | 15.9% | Only Qwen3.6 Flash measured |
| Neither model has a result on the other 19 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
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 | Qwen3.6 Flash |
|---|---|---|
| Maker | OpenAI | Qwen |
| Weights | Open weights | No public weights listed |
| Released | October 29, 2025 | April 27, 2026 |
| Context window | 131K | 1M |
| Input $/Mtok | $0.075 | $0.1875 |
| Output $/Mtok | $0.30 | $1.125 |
| 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 Qwen3.6 Flash 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 3.8x cheaper ($0.30 vs $1.125 per million).
Which is cheaper, gpt-oss-safeguard-20b or Qwen3.6 Flash?
gpt-oss-safeguard-20b costs $0.075 per million input tokens and $0.30 per million output tokens; Qwen3.6 Flash costs $0.1875 and $1.125. Cost per solved task is known for neither of them.
Which has the bigger context window, gpt-oss-safeguard-20b or Qwen3.6 Flash?
Qwen3.6 Flash, with 1M tokens against 131K.
Has any benchmark tested both gpt-oss-safeguard-20b and Qwen3.6 Flash?
No benchmark has tested both yet. gpt-oss-safeguard-20b has none yet; Qwen3.6 Flash on ALE-Bench, Epoch Capabilities Index and GPQA Diamond (Epoch AI run). Compare them on price and context instead. Data as of October 22, 2026.