Compare · ModelsLive · 2 picked · head to head
gpt-oss-120b (free) vs Qwen3.5 397B A17B
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Qwen3.5 397B A17B wins on 7/9 benchmarks
Qwen3.5 397B A17B wins 7 of 9 shared benchmarks. Leads in speed · knowledge · language.
Category leads
speed·Qwen3.5 397B A17Bmath·gpt-oss-120b (free)knowledge·Qwen3.5 397B A17Blanguage·Qwen3.5 397B A17Bcoding·Qwen3.5 397B A17B
Hype vs Reality
Attention vs performance
gpt-oss-120b (free)
#25 by perf·no signal
Qwen3.5 397B A17B
#48 by perf·#2 by attention
Best value
Qwen3.5 397B A17B
gpt-oss-120b (free)
n/a
$0.00/M
Qwen3.5 397B A17B
29.6 pts/$
$2.02/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
Alibaba (Qwen)
$293.0B·Tier 1
Head to head
9 benchmarks · 2 models
gpt-oss-120b (free)Qwen3.5 397B A17B
Artificial Analysis · Agentic Index
Qwen3.5 397B A17B leads by +6.7
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-120b (free)
13.2
Qwen3.5 397B A17B
19.9
Artificial Analysis · Coding Index
Qwen3.5 397B A17B leads by +17.8
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-120b (free)
30.4
Qwen3.5 397B A17B
48.2
Artificial Analysis · Quality Index
gpt-oss-120b (free) leads by +2.4
gpt-oss-120b (free)
23.8
Qwen3.5 397B A17B
21.4
OpenCompass · AIME2025
gpt-oss-120b (free) leads by +1.1
gpt-oss-120b (free)
93.4
Qwen3.5 397B A17B
92.3
OpenCompass · GPQA-Diamond
Qwen3.5 397B A17B leads by +9.5
gpt-oss-120b (free)
78.9
Qwen3.5 397B A17B
88.4
OpenCompass · HLE
Qwen3.5 397B A17B leads by +9.2
gpt-oss-120b (free)
18.3
Qwen3.5 397B A17B
27.5
OpenCompass · IFEval
Qwen3.5 397B A17B leads by +1.3
gpt-oss-120b (free)
90.2
Qwen3.5 397B A17B
91.5
OpenCompass · LiveCodeBenchV6
Qwen3.5 397B A17B leads by +4.6
gpt-oss-120b (free)
78.4
Qwen3.5 397B A17B
83.0
OpenCompass · MMLU-Pro
Qwen3.5 397B A17B leads by +7.9
gpt-oss-120b (free)
79.7
Qwen3.5 397B A17B
87.6
Full benchmark table
| Benchmark | gpt-oss-120b (free) | Qwen3.5 397B A17B |
|---|---|---|
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?" | 13.2 | 19.9 |
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. | 30.4 | 48.2 |
Artificial Analysis · Quality Index | 23.8 | 21.4 |
OpenCompass · AIME2025 | 93.4 | 92.3 |
OpenCompass · GPQA-Diamond | 78.9 | 88.4 |
OpenCompass · HLE | 18.3 | 27.5 |
OpenCompass · IFEval | 90.2 | 91.5 |
OpenCompass · LiveCodeBenchV6 | 78.4 | 83.0 |
OpenCompass · MMLU-Pro | 79.7 | 87.6 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.00 | $0.00 | 131K tokens (~66 books) | — | |
| $0.55 | $3.50 | 262K tokens (~131 books) | $12.88 |