Claim◆Article
Laguna S 2.1 is cheaper than Deepseek v4 Flash and better than V4 Pro.
The Reddit post announces Laguna S 2.1, a 118B-A8B model, with benchmark scores that position it as cheaper than Deepseek v4 Flash while outperforming V4 Pro. ✦ AI generated
Reddit (r/LocalLlama post) · Latent Space · 2026-07-23 · original ↗
Laguna S 2.1 is announced as a 118B-A8B model targeting local inference on high-memory systems, with reported benchmark scores of 70.2% on Terminal-Bench 2.1, 78.5% on SWE-bench Multilingual, 59.4% on SWE-Bench Pro, 40.4% on DeepSWE, 46.2% on SWE Atlas Codebase Q&A, and 49.7% on Toolathlon Verified. The post claims it is cheaper than Deepseek v4 Flash while outperforming V4 Pro.
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- ·118B-A8B architecture targeting high-memory local inference
- ·Reported scores: 70.2% Terminal-Bench 2.1, 78.5% SWE-bench Multilingual
- ·Additional: 59.4% SWE-Bench Pro, 40.4% DeepSWE, 46.2% SWE Atlas, 49.7% Toolathlon
- ·Claimed cheaper than Deepseek V4 Flash
- ·Claimed outperforms Deepseek V4 Pro
- ·Targets the gap between Flash pricing and Pro performance
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Counterpoint · 2
DeepSeek-V4-Flash-0731, the latest release in DeepSeek's V4 family, has substantially enhanced agentic capabilities and, at 304 billion parameters (167GB on Hugging Face), punches well above its weight.Author · Simon Willison's Weblog · conf 65%At $0.14 per million input tokens and $0.27 per million output tokens, DeepSeek-V4-Flash-0731 may currently be the best value-per-intelligence model available, performing very well on the Intelligence Index versus cost.Author · Simon Willison's Weblog · conf 60%