AI model comparison
Qwen3.7 Flash vs gpt-oss-20b
Side by side comparison of Qwen3.7 Flash and gpt-oss-20b on pricing, benchmark scores, context window, and more.
Qwen3.7 Flash is a vision-language reasoning model from Alibaba.
- Input / 1M
- $0.03
- Output / 1M
- $0.13
- Context
- 1M
gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license.
- Input / 1M
- $0.02
- Output / 1M
- $0.09
- Context
- 131K
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
gpt-oss-20b
1.5x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
Qwen3.7 Flash
1M vs 131K tokens
Newer release
Qwen3.7 Flash
Released July 27, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.7 FlashNot availablegpt-oss-20bNot availableCoding index
Qwen3.7 FlashNot availablegpt-oss-20b20.7Agentic index
Qwen3.7 FlashNot availablegpt-oss-20b1.2Pricing
Qwen3.7 Flash vs gpt-oss-20b API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.7 Flash | gpt-oss-20b |
|---|---|---|
| Input tokensPer 1M tokens | $0.03 | $0.02 |
| Output tokensPer 1M tokens | $0.13 | $0.09 |
| Cached input (read)Per 1M tokens | $0.01 | $0.01 |
| Cache writePer 1M tokens | $0.04 | Not available |
| Long-context pricingPer 1M tokens, for very long prompts | $0.10 in / $0.40 out above 32K | Same rate at any length |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Qwen3.7 Flash$0.13gpt-oss-20b$0.08Coding task
30K in, 4K out
Qwen3.7 Flash$1.42$0.70 cachedgpt-oss-20b$0.90$0.63 cachedLong document summary
150K in, 2K out
Qwen3.7 Flash$4.76$1.16 cachedgpt-oss-20b$2.88$1.53 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.7 Flash | gpt-oss-20b |
|---|---|---|
| Context window | 1M tokens | 131K tokens |
| Max output | 66K tokens | 33K tokens |
| Input types | Image, Text, Video | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | High, Medium, Low |
| Default reasoning effort | Not available | Medium |
| Release date | July 27, 2026 | August 5, 2025 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.7 Flash | gpt-oss-20b |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Not supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Qwen3.7 FlashView full model details- Qwen3.7 Flash vs DeepSeek V4.1 Flash 1017
- Qwen3.7 Flash vs DeepSeek V4.1 Flash
- Qwen3.7 Flash vs GLM 5.3 Flash
- Qwen3.7 Flash vs GPT-6 Luna
- Qwen3.7 Flash vs MiMo-V2.6-Flash
- Qwen3.7 Flash vs DeepSeek V4 Flash 0731
- Qwen3.7 Flash vs DeepSeek V4 Flash 0423
- Qwen3.7 Flash vs Muse Spark 1.3 Contributor
- Qwen3.7 Flash vs Solar Mini 4
- Qwen3.7 Flash vs Qwen3.8 Flash
- Qwen3.7 Flash vs Mistral Nemo
gpt-oss-20bView full model details- gpt-oss-20b vs DeepSeek V4.1 Flash 1017
- gpt-oss-20b vs DeepSeek V4.1 Flash
- gpt-oss-20b vs GLM 5.3 Flash
- gpt-oss-20b vs GPT-6 Luna
- gpt-oss-20b vs MiMo-V2.6-Flash
- gpt-oss-20b vs DeepSeek V4 Flash 0731
- gpt-oss-20b vs DeepSeek V4 Flash 0423
- gpt-oss-20b vs Muse Spark 1.3 Contributor
- gpt-oss-20b vs Solar Mini 4
- gpt-oss-20b vs Mistral Nemo
Our take
gpt-oss-20b is 1.5x cheaper for a typical chat. Qwen3.7 Flash has the larger context window (1M vs 131K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Qwen3.7 Flash or gpt-oss-20b cheaper?
gpt-oss-20b is cheaper for a typical chat (2K input tokens and 500 output tokens). gpt-oss-20b costs $0.02 per 1M input tokens and $0.09 per 1M output tokens, while Qwen3.7 Flash costs $0.03 per 1M input tokens and $0.13 per 1M output tokens.
Which has a bigger context window, Qwen3.7 Flash or gpt-oss-20b?
Qwen3.7 Flash supports up to 1M tokens of context, compared with 131K for gpt-oss-20b.
Can I use Qwen3.7 Flash and gpt-oss-20b at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.7 Flash and gpt-oss-20b answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.7 Flash and gpt-oss-20b at the same time. Compare the answers side by side and keep the best one.