AI model comparison
Qwen3.7 Flash vs gpt-oss-120b
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Qwen
Qwen3.7 Flash
Qwen3.7 Flash is a vision-language reasoning model from Alibaba.
- Input / 1M
- $0.03
- Output / 1M
- $0.13
- Context
- 1M
OpenAI
gpt-oss-120b
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases.
- Input / 1M
- $0.04
- Output / 1M
- $0.17
- Context
- 131K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3.7 Flash
1.3x cheaper for a typical chat
Higher intelligence score
Tie
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-120b11.6Coding index
Qwen3.7 FlashNot availablegpt-oss-120b30.4Agentic index
Qwen3.7 FlashNot availablegpt-oss-120b3.7Pricing
Qwen3.7 Flash vs gpt-oss-120b API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.7 Flash | gpt-oss-120b |
|---|---|---|
| Input tokensPer 1M tokens | $0.03 | $0.04 |
| Output tokensPer 1M tokens | $0.13 | $0.17 |
| Cached input (read)Per 1M tokens | $0.01 | Not available |
| 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-120b$0.16Coding task
30K in, 4K out
Qwen3.7 Flash$1.42$0.70 cachedgpt-oss-120b$1.79Long document summary
150K in, 2K out
Qwen3.7 Flash$4.76$1.16 cachedgpt-oss-120b$5.89Specs
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-120b |
|---|---|---|
| Context window | 1M tokens | 131K tokens |
| Max output | 66K tokens | 118K 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-120b |
|---|---|---|
| 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.
gpt-oss-120bView full model details- gpt-oss-120b vs Muse Spark 1.3 Contributor
- gpt-oss-120b vs Gemini 2.5 Flash Lite
- gpt-oss-120b vs Gemma 4 31B
- gpt-oss-120b vs gpt-oss-20b
- gpt-oss-120b vs GPT-5 Nano
- gpt-oss-120b vs Qwen3 235B A22B Instruct 2507
- gpt-oss-120b vs Mercury 2.5
- gpt-oss-120b vs Qwen3.5-9B
- gpt-oss-120b vs Nemotron 3.5 Lightning
- gpt-oss-120b vs GPT-4.1 Nano
- gpt-oss-120b vs Granite 4.2 8B
- gpt-oss-120b vs Nemotron 3 Super
- gpt-oss-120b vs Mistral Small 4
- gpt-oss-120b vs Qwen3 Coder 30B A3B Instruct
- gpt-oss-120b vs Nemotron 3 Nano 30B A3B
Our take
Qwen3.7 Flash is 1.3x 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-120b cheaper?
Qwen3.7 Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.7 Flash costs $0.03 per 1M input tokens and $0.13 per 1M output tokens, while gpt-oss-120b costs $0.04 per 1M input tokens and $0.17 per 1M output tokens.
Which has a bigger context window, Qwen3.7 Flash or gpt-oss-120b?
Qwen3.7 Flash supports up to 1M tokens of context, compared with 131K for gpt-oss-120b.
Can I use Qwen3.7 Flash and gpt-oss-120b 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-120b answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.7 Flash and gpt-oss-120b at the same time. Compare the answers side by side and keep the best one.