Laguna S 2.1 beats Deepseek V4 Pro, costs less than V4 Flash
118B-A8B MoE model tops coding benchmarks at a fraction of the price.
Deep Dive
Finally, the banger from Laguna: S 2.1 (118B-A8B) scores 70.2% on Terminal-Bench 2.1, 78.5% on SWE-bench, 59.4% on multilingual SWE-bench Pro, plus 40.4%, 46.2%, and 49.7% on other benchmarks. The poster says it will probably be great for 64GB+ RAM and VRAM setups.
Key Points
- Scores 70.2% on Terminal-Bench 2.1 and 78.5% on SWE-bench, outperforming Deepseek V4 Pro.
- Uses a 118B total parameter MoE with 8B active parameters, optimized for 64GB+ RAM/VRAM.
- Priced lower than Deepseek V4 Flash while delivering better performance across coding and tool-use tasks.
Why It Matters
Democratizes high-end coding AI by blending superior benchmarks with budget-friendly hardware and pricing.