DeepSeek
DeepSeek V4 Pro
DeepSeek V4 Pro from DeepSeek: Open MoE flagship with million-token context for coding and long agent runs.
- Context
- 1M
- Max output
- 384K
- Input / 1M tokens
- $0.435
- Output / 1M tokens
- $0.87
Accepts
- Text input
Produces
- Text output
AI model comparison
Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.
DeepSeek V4 Pro from DeepSeek lists 1M context, 384K maximum output, $0.435 input per 1M tokens, $0.87 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.
DeepSeek
DeepSeek V4 Pro from DeepSeek: Open MoE flagship with million-token context for coding and long agent runs.
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.
DeepSeek V4 Pro
Laguna S 2.1
Context capacity
Higher listed limit
DeepSeek V4 Pro:1M
Laguna S 2.1:1.05M
Laguna S 2.1
Maximum output
Higher listed limit
DeepSeek V4 Pro:384K
Laguna S 2.1:32.77K
DeepSeek V4 Pro
Input price
Lower listed token rate
DeepSeek V4 Pro:$0.435
Laguna S 2.1:$0.10
Laguna S 2.1
Output price
Lower listed token rate
DeepSeek V4 Pro:$0.87
Laguna S 2.1:$0.20
Laguna S 2.1
Specifications
| Specification | DeepSeek V4 Pro | Laguna S 2.1 |
|---|---|---|
| Provider | DeepSeek | Poolside |
| Listed pricing route | DeepSeek | Poolside |
| Model family | deepseek-thinking | laguna |
| Accepted inputs | text | text |
| Produced outputs | text | text |
| Context window | 1M | 1.05MHigher |
| Max output | 384KHigher | 32.77K |
| Input price / 1M | $0.435 | $0.10Lower |
| Output price / 1M | $0.87 | $0.20Lower |
| Reasoning mode | Documented | Documented |
| Tool calling | Documented | Documented |
| Image input | Not documented | Not documented |
| Audio input | Not documented | Not documented |
| Structured output | Documented | Not documented |
| License | Open weights | Open weights |
Workload guidance
Consider DeepSeek V4 Pro if you need larger maximum output. Consider Laguna S 2.1 if you need larger context or a lower listed input rate or a lower listed output rate. 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.
DeepSeek V4 Pro
DeepSeek
Profile updated Oct 13, 2026
Source registry ↗Model card and weights ↗Publisher documentation ↗Laguna S 2.1
Poolside
Profile updated Oct 13, 2026
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