Real data comparison
DeepSeek: DeepSeek V4 Flash 0423 vs Poolside: Laguna S 2.1 (free)
In real production usage, DeepSeek: DeepSeek V4 Flash 0423 is used more (rank #1 vs #17 of 291). Across 9 real task categories where both models have classified traffic, DeepSeek: DeepSeek V4 Flash 0423 handles more of the traffic in 9 of them.
- DeepSeek: DeepSeek V4 Flash 0423
- Poolside: Laguna S 2.1 (free)
Head-to-head by real task
DeepSeek: DeepSeek V4 Flash 0423 leads 9 of 9 shared task categories by real classified traffic share; Poolside: Laguna S 2.1 (free) leads 0. Not a benchmark score - this is what developers actually route to each model for, per OpenRouter's task classification.
| Task | DeepSeek: DeepSeek V4 Flash 0423 | Poolside: Laguna S 2.1 (free) |
|---|---|---|
| Memory Extraction | 22.6% | 3.3% |
| DevOps | 23.0% | 4.0% |
| File I/O | 20.1% | 2.4% |
| DevOps & Config | 23.0% | 5.6% |
| SQL & Database | 19.8% | 2.8% |
| Code Generation | 19.7% | 3.0% |
| Repo Scanning | 19.5% | 2.9% |
| Debugging | 18.5% | 3.3% |
| Frontend & UI | 17.2% | 4.6% |
Usage share over time
- DeepSeek: DeepSeek V4 Flash 0423
- Poolside: Laguna S 2.1 (free)
Frequently asked questions
DeepSeek: DeepSeek V4 Flash 0423 vs Poolside: Laguna S 2.1 (free): which is better quality?
Quality data is unavailable for one or both models.
DeepSeek: DeepSeek V4 Flash 0423 vs Poolside: Laguna S 2.1 (free): which is cheaper?
Pricing data is unavailable for one or both models.
DeepSeek: DeepSeek V4 Flash 0423 vs Poolside: Laguna S 2.1 (free): which is used more?
DeepSeek: DeepSeek V4 Flash 0423 has higher real OpenRouter usage share (rank #1 vs #17 of 291).
DeepSeek: DeepSeek V4 Flash 0423 vs Poolside: Laguna S 2.1 (free): which wins more real-world task categories?
DeepSeek: DeepSeek V4 Flash 0423 handles more traffic in 9 of 9 shared task categories where both models have classified OpenRouter usage.
Source: OpenRouter (openrouter.ai/rankings), as of August 9, 2026.
Benchmark scores: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings).
Methodology: smophy.ai/benchmark/methodology
Token counts originate from each provider's own tokenizer and are not directly comparable across providers.