Compare · ModelsLive · 2 picked · head to head
gpt-oss-20b vs Qwen3.7 Flash
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Qwen3.7 Flash wins on 3/3 benchmarks
Qwen3.7 Flash wins 3 of 3 shared benchmarks. Leads in knowledge · math.
Category leads
knowledge·Qwen3.7 Flashmath·Qwen3.7 Flash
Hype vs Reality
Attention vs performance
gpt-oss-20b
#97 by perf·no signal
Qwen3.7 Flash
#180 by perf·#2 by attention
Best value
gpt-oss-20b
1.9x better value than Qwen3.7 Flash
gpt-oss-20b
983.3 pts/$
$0.05/M
Qwen3.7 Flash
518.8 pts/$
$0.08/M
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-20bQwen3.7 Flash
Chess Puzzles
Qwen3.7 Flash leads by +19.0
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
gpt-oss-20b
0.0
Qwen3.7 Flash
19.0
GPQA diamond
Qwen3.7 Flash leads by +28.7
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
gpt-oss-20b
47.7
Qwen3.7 Flash
76.4
OTIS Mock AIME 2024-2025
Qwen3.7 Flash leads by +21.4
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
gpt-oss-20b
65.2
Qwen3.7 Flash
86.7
Full benchmark table
| Benchmark | gpt-oss-20b | Qwen3.7 Flash |
|---|---|---|
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 0.0 | 19.0 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 47.7 | 76.4 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 65.2 | 86.7 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.02 | $0.09 | 131K tokens (~66 books) | $0.36 | |
| $0.03 | $0.13 | 1.0M tokens (~500 books) | $0.55 |