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DeepSeek-V4-Flash-Vision-Exp vs Laguna S 2.1

DeepSeek-V4-Flash-Vision-Exp and Laguna S 2.1 are closely matched at 48.5 and 41.4 on the LLM Stats Score. Laguna S 2.1 is 2.6x cheaper per token.

DeepSeek · Poolside · Updated for 2026

Which is better?

DeepSeek-V4-Flash-Vision-Exp and Laguna S 2.1 are closely matched on the overall LLM Stats Score at 48.5 and 41.4.

In the 1 individual benchmarks reported for both models, DeepSeek-V4-Flash-Vision-Exp wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Laguna S 2.1 is roughly 2.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Flash-Vision-Exp

  • your work emphasizes agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Aug 2026

Choose Laguna S 2.1

  • cost matters — it's about 2.6x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

DeepSeek-V4-Flash-Vision-Exp
DeepSeek
Laguna S 2.1
Poolside
Core performance indexes
LLM Stats Score
48.5
#17
41.4
#43
Reasoning
45.0
#29
41.5
#40
Coding
38.5
#18
33.1
#37
Agents
35.6
#16
25.7
#43
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.22 / M
$0.10 / M
Output price
$0.66 / M
$0.20 / M
Context window
1,048,576
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4-Flash-Vision-Exp
Laguna S 2.1
Tool use
28.0#16
18.9#56
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for DeepSeek-V4-Flash-Vision-Exp · 6 for Laguna S 2.1

1 shared

DeepSeek-V4-Flash-Vision-Exp outperforms in 1 benchmarks (Terminal-Bench 2.1), while Laguna S 2.1 is better at 0 benchmarks.

DeepSeek-V4-Flash-Vision-Exp significantly outperforms across most benchmarks.

Fri Aug 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Laguna S 2.1 costs less

For input processing, DeepSeek-V4-Flash-Vision-Exp ($0.22/1M tokens) is 2.2x more expensive than Laguna S 2.1 ($0.10/1M tokens).

For output processing, DeepSeek-V4-Flash-Vision-Exp ($0.66/1M tokens) is 3.3x more expensive than Laguna S 2.1 ($0.20/1M tokens).

In conclusion, DeepSeek-V4-Flash-Vision-Exp is more expensive than Laguna S 2.1.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Aug 28 2026 • llm-stats.com
DeepSeek
DeepSeek-V4-Flash-Vision-Exp
Input tokens$0.22
Output tokens$0.66
Best providerDeepSeek
Poolside
Laguna S 2.1
Input tokens$0.10
Output tokens$0.20
Best providerPoolside
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. Only DeepSeek-V4-Flash-Vision-Exp specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4-Flash-Vision-Exp
Input1,048,576 tokens
Output393,216 tokens
Poolside
Laguna S 2.1
Input1,048,576 tokens
Output- tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4-Flash-Vision-Exp supports multimodal inputs, whereas Laguna S 2.1 does not.

DeepSeek-V4-Flash-Vision-Exp can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Flash-Vision-Exp

Text
Images
Audio
Video

Laguna S 2.1

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while Laguna S 2.1 was released on 2026-07-21.

DeepSeek-V4-Flash-Vision-Exp is 1 month newer than Laguna S 2.1.

DeepSeek-V4-Flash-Vision-Exp

Aug 21, 2026

1 weeks ago

1mo newer
Laguna S 2.1

Jul 21, 2026

1 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-V4-Flash-Vision-Exp is available from DeepSeek. Laguna S 2.1 is available from Poolside.

DeepSeek-V4-Flash-Vision-Exp

deepseek logo
DeepSeek
Input Price:Input: $0.22/1MOutput Price:Output: $0.66/1M

Laguna S 2.1

poolside logo
Poolside
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-Vision-Exp and Laguna S 2.1 side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-Vision-Exp
✓ Preferred
Laguna S 2.1
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-Vision-Exp vs Laguna S 2.1.

Which is better, DeepSeek-V4-Flash-Vision-Exp or Laguna S 2.1?

DeepSeek-V4-Flash-Vision-Exp and Laguna S 2.1 are closely matched on the LLM Stats Score at 48.5 and 41.4. DeepSeek-V4-Flash-Vision-Exp is made by DeepSeek and Laguna S 2.1 is made by Poolside. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4-Flash-Vision-Exp compare to Laguna S 2.1 in benchmarks?

DeepSeek-V4-Flash-Vision-Exp scores Terminal-Bench 2.1: 83.9%, DSBench-Hard: 63.6%, DeepSWE: 59.3%, NL2Repo: 57.7%, ZEROBench: 35.0%. Laguna S 2.1 scores SWE-bench Multilingual: 78.5%, Terminal-Bench 2.1: 70.2%, SWE-Bench Pro: 59.4%, Toolathlon: 49.7%, SWE Atlas - Codebase QnA: 46.2%.

Is DeepSeek-V4-Flash-Vision-Exp cheaper than Laguna S 2.1?

Laguna S 2.1 is 2.2x cheaper for input tokens. DeepSeek-V4-Flash-Vision-Exp costs $0.22/M input and $0.66/M output via deepseek. Laguna S 2.1 costs $0.10/M input and $0.20/M output via poolside.

What are the context window sizes for DeepSeek-V4-Flash-Vision-Exp and Laguna S 2.1?

DeepSeek-V4-Flash-Vision-Exp supports 1.0M tokens and Laguna S 2.1 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4-Flash-Vision-Exp and Laguna S 2.1?

Key differences include LLM Stats Score (48.5 vs 41.4), input pricing ($0.22 vs $0.10/M), multimodal support (yes vs no), licensing (Unknown vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-Vision-Exp and Laguna S 2.1?

DeepSeek-V4-Flash-Vision-Exp is developed by DeepSeek and Laguna S 2.1 is developed by Poolside.

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