AI model comparison
gpt-oss-120b vs Llama 4 Scout
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
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
- $0.15
- Output / 1M
- $0.60
- Context
- 131K
Meta
Llama 4 Scout
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B.
- Input / 1M
- $0.18
- Output / 1M
- $0.59
- Context
- 1.31M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
gpt-oss-120b
1.1x cheaper for a typical chat
Higher intelligence score
gpt-oss-120b
11.6 vs 8.1 on Artificial Analysis
Larger context window
Llama 4 Scout
1.31M vs 131K tokens
Newer release
gpt-oss-120b
Released August 5, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
gpt-oss-120b11.6Coding index
gpt-oss-120b30.4Agentic index
gpt-oss-120b3.7Pricing
gpt-oss-120b vs Llama 4 Scout API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | gpt-oss-120b | |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.18 |
| Output tokensPer 1M tokens | $0.60 | $0.59 |
| Cached input (read)Per 1M tokens | $0.08 | Not available |
| Cache writePer 1M tokens | Not available | Not available |
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
gpt-oss-120b$0.60Coding task
30K in, 4K out
gpt-oss-120b$6.90$4.65 cachedLong document summary
150K in, 2K out
gpt-oss-120b$23.70$12.45 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | gpt-oss-120b | |
|---|---|---|
| Context window | 131K tokens | 1.31M tokens |
| Max output | 66K tokens | 118K tokens |
| Input types | Text | Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | High, Medium, Low | Not available |
| Default reasoning effort | Medium | Not available |
| Release date | August 5, 2025 | April 5, 2025 |
Features
Supported features
API features available for each model.
| Metric | gpt-oss-120b | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | 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.
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- Llama 4 Scout vs Llama 4 Maverick
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- Llama 4 Scout vs Sonar
- Llama 4 Scout vs Hermes 3 70B Instruct
- Llama 4 Scout vs Llama 3.1 70B Instruct
- Llama 4 Scout vs Saba
- Llama 4 Scout vs Llama 3.2 3B Instruct
Our take
gpt-oss-120b is 1.1x cheaper for a typical chat. gpt-oss-120b scores higher on the Artificial Analysis Intelligence Index (11.6 vs 8.1). Llama 4 Scout has the larger context window (1.31M 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 gpt-oss-120b or Llama 4 Scout cheaper?
gpt-oss-120b is cheaper for a typical chat (2K input tokens and 500 output tokens). gpt-oss-120b costs $0.15 per 1M input tokens and $0.60 per 1M output tokens, while Llama 4 Scout costs $0.18 per 1M input tokens and $0.59 per 1M output tokens.
Which has a bigger context window, gpt-oss-120b or Llama 4 Scout?
Llama 4 Scout supports up to 1.31M tokens of context, compared with 131K for gpt-oss-120b.
Is gpt-oss-120b smarter than Llama 4 Scout?
On the Artificial Analysis Intelligence Index, gpt-oss-120b scores 11.6 and Llama 4 Scout scores 8.1, putting gpt-oss-120b ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use gpt-oss-120b and Llama 4 Scout at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see gpt-oss-120b and Llama 4 Scout answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to gpt-oss-120b and Llama 4 Scout at the same time. Compare the answers side by side and keep the best one.