Model comparison
DeepSeek-V4-Flash-Vision-Exp vs Laguna S 2.1
- Input
- $0.22 off-peak · $0.44 peak
- Output
- $0.66 off-peak · $1.32 peak
- Context
- 1M
- Released
- 2026-08-21
- Input
- $0.09
- Output
- $0.18
- Context
- 1M
- Released
- 2026-07-21
DeepSeek-V4-Flash-Vision-Exp scores higher on 3 of the 3 benchmarks both models report; Laguna S 2.1 is cheaper on input tokens ($0.1 vs $0.2 per 1M, 2.4×).
Specs and pricing side by side
| Spec | DeepSeek-V4-Flash-Vision-Exp | Laguna S 2.1 |
|---|---|---|
| Maker | DeepSeek | Poolside |
| Released | 2026-08-21 | 2026-07-21 |
| Context window | 1M | 1Msame |
| Max output | 384K | not published |
| Input price | $0.22 off-peak · $0.44 peak | $0.09 |
| Output price | $0.66 off-peak · $1.32 peak | $0.18 |
| Parameters | not published | 118B total · 8B active |
| License | MIT | OpenMDW-1.1 |
| Weights | Open weights | Open weightssame |
| Modalities | Text, Vision | Text |
Not published by either maker: knowledge cutoff.
Benchmarks both models report
| Benchmark | DeepSeek-V4-Flash-Vision-Exp | Laguna S 2.1 |
|---|---|---|
| Terminal Bench 2.1 | 83.9% | 70.2% |
| Toolathlon-Verified | 75.9% | 49.7% |
| DeepSWE | 59.3% | 40.4% |
Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.
Which one should you pick?
Pick DeepSeek-V4-Flash-Vision-Exp if…
- You care about Terminal Bench 2.1, Toolathlon-Verified, DeepSWE (it scores higher on 3 shared benchmarks).
- You need Vision input, which Laguna S 2.1 lacks.
- Your use case is: multimodal agent loops that must read screenshots, dashboards or UI state to decide the next action.
Pick Laguna S 2.1 if…
- Cost matters: input tokens cost 2.4× less ($0.1 vs $0.2 per 1M).
- Your use case is: reach for it when you want to move high-volume agentic coding off a metered API and onto your own hardware without giving up long-horizon performance.
FAQ
Which is better, DeepSeek-V4-Flash-Vision-Exp or Laguna S 2.1?
DeepSeek-V4-Flash-Vision-Exp scores higher on 3 of the 3 benchmarks both models report; Laguna S 2.1 is cheaper on input tokens ($0.1 vs $0.2 per 1M, 2.4×). The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.
How much cheaper is Laguna S 2.1?
DeepSeek-V4-Flash-Vision-Exp: $0.22 off-peak · $0.44 peak input, $0.66 off-peak · $1.32 peak output. Laguna S 2.1: $0.09 input, $0.18 output (list API prices as published by each maker).
What are the context windows of DeepSeek-V4-Flash-Vision-Exp and Laguna S 2.1?
DeepSeek-V4-Flash-Vision-Exp offers 1M with up to 384K output; Laguna S 2.1 offers 1M.
Is DeepSeek-V4-Flash-Vision-Exp newer than Laguna S 2.1?
DeepSeek-V4-Flash-Vision-Exp was released 2026-08-21; Laguna S 2.1 was released 2026-07-21.
Go deeper
- DeepSeek-V4-Flash-Vision-Exp: full specs, pricing and benchmarks
- Laguna S 2.1: full specs, pricing and benchmarks
- deepseek v4 flash vision exp vs deepseek v4 pro
- deepseek v4 1 flash vs deepseek v4 flash vision exp
- hunyuan hy4 preview vs laguna s 2 1
- deepseek v4 pro vs laguna s 2 1
- laguna s 2 1 vs deepseek v4 flash
- deepseek v4 flash vision exp vs glm 5 3
- All model comparisons