OpenAI
GPT-5 Nano
GPT-5 Nano from OpenAI: Tiny GPT-5 lane for routing, extraction, classification, and bulk jobs.
- Context
- 400K
- Max output
- 128K
- Input / 1M tokens
- $0.05
- Output / 1M tokens
- $0.40
Accepts
- Text input
- Image input
Produces
- Text output
AI model comparison
Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.
GPT-5 Nano from OpenAI lists 400K context, 128K maximum output, $0.05 input per 1M tokens, $0.40 output per 1M tokens. Laguna S 2.1 from Poolside lists 1.05M context, 32.77K maximum output, $0.10 input per 1M tokens, $0.20 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.
OpenAI
GPT-5 Nano from OpenAI: Tiny GPT-5 lane for routing, extraction, classification, and bulk jobs.
Accepts
Produces
Poolside
Laguna S 2.1 from Poolside: Agentic coding model from Poolside in the XS size class for local deployment.
Accepts
Produces
At a glance
Compare the available figures below, then try both models on the work you need to do.
GPT-5 Nano
Laguna S 2.1
Context capacity
Higher listed limit
GPT-5 Nano:400K
Laguna S 2.1:1.05M
Laguna S 2.1
Maximum output
Higher listed limit
GPT-5 Nano:128K
Laguna S 2.1:32.77K
GPT-5 Nano
Input price
Lower listed token rate
GPT-5 Nano:$0.05
Laguna S 2.1:$0.10
GPT-5 Nano
Output price
Lower listed token rate
GPT-5 Nano:$0.40
Laguna S 2.1:$0.20
Laguna S 2.1
Specifications
| Specification | GPT-5 Nano | Laguna S 2.1 |
|---|---|---|
| Provider | OpenAI | Poolside |
| Listed pricing route | OpenAI | Poolside |
| Model family | gpt-nano | laguna |
| Accepted inputs | text, image | text |
| Produced outputs | text | text |
| Context window | 400K | 1.05MHigher |
| Max output | 128KHigher | 32.77K |
| Input price / 1M | $0.05Lower | $0.10 |
| Output price / 1M | $0.40 | $0.20Lower |
| Reasoning mode | Documented | Documented |
| Tool calling | Documented | Documented |
| Image input | Documented | Not documented |
| Audio input | Not documented | Not documented |
| Structured output | Documented | Not documented |
| License | Proprietary | Open weights |
Workload guidance
Consider GPT-5 Nano if you need larger maximum output or a lower listed input rate. Consider Laguna S 2.1 if you need larger context or a lower listed output rate. Laguna S 2.1 offers downloadable weights; GPT-5 Nano is listed as a proprietary model. Compare licence terms and operating costs before choosing a deployment. Test both on the same representative examples and judge the output against your acceptance criteria. Include tool failures, retries and the time to a completed task.
Explore each model’s features, API requirements and licence terms in the sources below.
GPT-5 Nano
OpenAI
Profile updated Oct 13, 2026
Laguna S 2.1
Poolside
Profile updated Oct 13, 2026
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