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Laguna S 2.1 vs Mistral Large 4

Laguna S 2.1 and Mistral Large 4 are closely matched at 39.7 and 45.8 on the LLM Stats Score. Laguna S 2.1 is 8.3x cheaper per token.

Poolside · Mistral AI · Updated for 2026

Which is better?

Laguna S 2.1 and Mistral Large 4 are closely matched on the overall LLM Stats Score at 39.7 and 45.8.

In the 2 individual benchmarks reported for both models, Mistral Large 4 wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Laguna S 2.1 is roughly 8.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Laguna S 2.1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Laguna S 2.1

  • cost matters — it's about 8.3x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you need open weights you can self-host or fine-tune

Choose Mistral Large 4

  • your work emphasizes agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Laguna S 2.1
Poolside
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
39.7
#73
45.8
#39
Reasoning
39.7
#71
43.9
#48
Coding
29.1
#69
35.0
#31
Agents
23.3
#75
33.8
#34
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.10 / M
$0.68 / M
Output price
$0.20 / M
$2.09 / M
Context window
1,048,576
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Laguna S 2.1
Mistral Large 4
Tool use
15.3#106
28.1#23
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Laguna S 2.1 · 18 for Mistral Large 4

2 shared

Laguna S 2.1 outperforms in 0 benchmarks, while Mistral Large 4 is better at 2 benchmarks (DeepSWE 1.1, SWE Atlas - Codebase QnA).

Mistral Large 4 significantly outperforms across most benchmarks.

Fri Oct 23 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, Laguna S 2.1 ($0.10/1M tokens) is 6.8x cheaper than Mistral Large 4 ($0.68/1M tokens).

For output processing, Laguna S 2.1 ($0.20/1M tokens) is 10.4x cheaper than Mistral Large 4 ($2.09/1M tokens).

In conclusion, Mistral Large 4 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 Oct 23 2026 • llm-stats.com
Poolside
Laguna S 2.1
Input tokens$0.10
Output tokens$0.20
Best providerPoolside
Mistral AI
Mistral Large 4
Input tokens$0.68
Output tokens$2.09
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

932.0B diff

Mistral Large 4 has 932.0B more parameters than Laguna S 2.1, making it 789.8% larger.

Poolside
Laguna S 2.1
118.0Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
118.0B
Laguna S 2.1
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

Laguna S 2.1 accepts 1,048,576 input tokens compared to Mistral Large 4's 1,000,000 tokens.

Poolside
Laguna S 2.1
Input1,048,576 tokens
Output- tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas Laguna S 2.1 does not.

Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Laguna S 2.1

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

Laguna S 2.1 is licensed under OpenMDW License v1.1, while Mistral Large 4 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Laguna S 2.1

OpenMDW License v1.1

Open weights

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

Laguna S 2.1 was released on 2026-07-21, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 3 months newer than Laguna S 2.1.

Laguna S 2.1

Jul 21, 2026

3 months ago

Mistral Large 4

Oct 6, 2026

1 weeks ago

2mo newer

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

Laguna S 2.1 is available from Poolside. Mistral Large 4 is available from Mistral AI.

Laguna S 2.1

poolside logo
Poolside
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M

Mistral Large 4

mistral logo
Mistral
Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Laguna S 2.1 and Mistral Large 4 side-by-side, then vote on the output you prefer.

Laguna S 2.1
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Laguna S 2.1 vs Mistral Large 4.

Which is better, Laguna S 2.1 or Mistral Large 4?

Laguna S 2.1 and Mistral Large 4 are closely matched on the LLM Stats Score at 39.7 and 45.8. Laguna S 2.1 is made by Poolside and Mistral Large 4 is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Laguna S 2.1 compare to Mistral Large 4 in benchmarks?

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%. Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

Is Laguna S 2.1 cheaper than Mistral Large 4?

Laguna S 2.1 is 6.8x cheaper for input tokens. Laguna S 2.1 costs $0.10/M input and $0.20/M output via poolside. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral.

What are the context window sizes for Laguna S 2.1 and Mistral Large 4?

Laguna S 2.1 supports 1.0M tokens and Mistral Large 4 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 Laguna S 2.1 and Mistral Large 4?

Key differences include LLM Stats Score (39.7 vs 45.8), context window (1.0M vs 1.0M), input pricing ($0.10 vs $0.68/M), multimodal support (no vs yes), licensing (OpenMDW License v1.1 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Laguna S 2.1 and Mistral Large 4?

Laguna S 2.1 is developed by Poolside and Mistral Large 4 is developed by Mistral AI.

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