Compare · ModelsLive · 2 picked · head to head
gpt-oss-20b (free) vs Qwen3.6 27B
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Qwen3.6 27B wins on 3/3 benchmarks
Qwen3.6 27B wins 3 of 3 shared benchmarks. Leads in speed.
Category leads
speed·Qwen3.6 27B
Hype vs Reality
Attention vs performance
gpt-oss-20b (free)
#33 by perf·no signal
Qwen3.6 27B
#36 by perf·no signal
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
Alibaba (Qwen)
$293.0B·Tier 1
Head to head
3 benchmarks · 2 models
gpt-oss-20b (free)Qwen3.6 27B
Artificial Analysis · Agentic Index
Qwen3.6 27B leads by +23.9
Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?"
gpt-oss-20b (free)
3.1
Qwen3.6 27B
27.0
Artificial Analysis · Coding Index
Qwen3.6 27B leads by +33.0
Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads.
gpt-oss-20b (free)
20.7
Qwen3.6 27B
53.7
Artificial Analysis · Quality Index
Qwen3.6 27B leads by +22.2
gpt-oss-20b (free)
14.9
Qwen3.6 27B
37.0
Full benchmark table
| Benchmark | gpt-oss-20b (free) | Qwen3.6 27B |
|---|---|---|
Artificial Analysis · Agentic Index Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?" | 3.1 | 27.0 |
Artificial Analysis · Coding Index Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads. | 20.7 | 53.7 |
Artificial Analysis · Quality Index | 14.9 | 37.0 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.00 | $0.00 | 131K tokens (~66 books) | — | |
| $0.28 | $2.40 | 262K tokens (~131 books) | $8.14 |