Laguna S 2.1 vs DeepSeek V3.1
Detailed technical comparison between Laguna S 2.1 (Poolside) and DeepSeek V3.1 (DeepSeek). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.
Comparison Snapshot
Laguna S 2.1
1,048,576 tokensTie
Equal CapabilityTie
Equal SpeedLaguna S 2.1
$0.10 / MTokLaguna S 2.1
Laguna S 2.1 is the latest coding agent model from [Poolside](<https://poolside.ai/>). Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...
DeepSeek V3.1
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...
Technical Specifications
🏆 = Superior Spec| Specification | Laguna S 2.1 | DeepSeek V3.1 |
|---|---|---|
| Provider | Poolside | DeepSeek |
| Context Window | 1,048,576 tokens🏆 | 163,840 tokens |
| Agent Suitability | Not yet benchmarked | Not yet benchmarked |
| Time to First Token (TTFT) | No public TTFT data | No public TTFT data |
| Deployment Model | managed api | self hostable |
| Production Stability | Beta Access (est.) | Stable GA (est.) |
| API Available | Yes | Yes |
| Released Date | 2026-07-21 | 2025-08-21 |
API Pricing Comparison
Input Price per Million Tokens
Laguna S 2.1
$0.10
DeepSeek V3.1
$0.25
Output Price per Million Tokens
Laguna S 2.1
$0.20
DeepSeek V3.1
$0.95
💡 Cost Ratio: Laguna S 2.1 is 2.5x cheaper per input token than DeepSeek V3.1.
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Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Standardized Scores (0–100%)Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.
Laguna S 2.1 Quirks & Gotchas
No developer gotchas reported.
DeepSeek V3.1 Quirks & Gotchas
No developer gotchas reported.
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