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Kimi K2.7 Code vs Laguna S 2.1

Kimi K2.7 Code and Laguna S 2.1 are closely matched at 39.6 and 41.4 on the LLM Stats Score. Laguna S 2.1 is 11.4x cheaper per token.

Moonshot AI · Poolside · Updated for 2026

Which is better?

Kimi K2.7 Code and Laguna S 2.1 are closely matched on the overall LLM Stats Score at 39.6 and 41.4.

In the 1 individual benchmarks reported for both models, Laguna S 2.1 wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Laguna S 2.1 is roughly 11.4x 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 Kimi K2.7 Code

  • you want predictable pricing at $0.74/M input and $3.50/M output

Choose Laguna S 2.1

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • cost matters — it's about 11.4x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

At a glance

The differences that matter most.

Kimi K2.7 Code
Moonshot AI
Laguna S 2.1
Poolside
Core performance indexes
LLM Stats Score
39.6
#49
41.4
#43
Reasoning
35.2
#74
41.5
#40
Coding
32.2
#42
33.1
#37
Agents
28.0
#37
25.7
#43
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.74 / M
$0.10 / M
Output price
$3.50 / M
$0.20 / M
Context window
262,144
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Kimi K2.7 Code
Laguna S 2.1
Tool use
25.6#26
18.9#56
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Kimi K2.7 Code · 6 for Laguna S 2.1

1 shared

Kimi K2.7 Code outperforms in 0 benchmarks, while Laguna S 2.1 is better at 1 benchmark (DeepSWE 1.1).

Laguna S 2.1 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, Kimi K2.7 Code ($0.74/1M tokens) is 7.4x more expensive than Laguna S 2.1 ($0.10/1M tokens).

For output processing, Kimi K2.7 Code ($3.50/1M tokens) is 17.5x more expensive than Laguna S 2.1 ($0.20/1M tokens).

In conclusion, Kimi K2.7 Code 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
Moonshot AI
Kimi K2.7 Code
Input tokens$0.74
Output tokens$3.50
Best providerDeepinfra
Poolside
Laguna S 2.1
Input tokens$0.10
Output tokens$0.20
Best providerPoolside
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

882.0B diff

Kimi K2.7 Code has 882.0B more parameters than Laguna S 2.1, making it 747.5% larger.

Moonshot AI
Kimi K2.7 Code
1.0Tparameters
Poolside
Laguna S 2.1
118.0Bparameters
1000.0B
Kimi K2.7 Code
118.0B
Laguna S 2.1

Context Window

Maximum input and output token capacity

Laguna S 2.1 accepts 1,048,576 input tokens compared to Kimi K2.7 Code's 262,144 tokens. Only Kimi K2.7 Code specifies output context (131,072 tokens).

Moonshot AI
Kimi K2.7 Code
Input262,144 tokens
Output131,072 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

Kimi K2.7 Code supports multimodal inputs, whereas Laguna S 2.1 does not.

Kimi K2.7 Code can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi K2.7 Code

Text
Images
Audio
Video

Laguna S 2.1

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.7 Code is licensed under Modified MIT License, while Laguna S 2.1 uses OpenMDW License v1.1.

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

Kimi K2.7 Code

Modified MIT License

Open weights

Laguna S 2.1

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

Kimi K2.7 Code was released on 2026-06-12, while Laguna S 2.1 was released on 2026-07-21.

Laguna S 2.1 is 1 month newer than Kimi K2.7 Code.

Kimi K2.7 Code

Jun 12, 2026

2 months ago

Laguna S 2.1

Jul 21, 2026

1 months ago

1mo 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

Kimi K2.7 Code is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together. Laguna S 2.1 is available from Poolside.

Kimi K2.7 Code

deepinfra logo
Deepinfra
Input Price:Input: $0.74/1MOutput Price:Output: $3.50/1M
fireworks logo
Fireworks
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
moonshot logo
Unknown Organization
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
novita logo
Novita
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
together logo
Together
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M

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 Kimi K2.7 Code and Laguna S 2.1 side-by-side, then vote on the output you prefer.

Kimi K2.7 Code
✓ Preferred
Laguna S 2.1
Open in Playground

FAQ

Common questions about Kimi K2.7 Code vs Laguna S 2.1.

Which is better, Kimi K2.7 Code or Laguna S 2.1?

Kimi K2.7 Code and Laguna S 2.1 are closely matched on the LLM Stats Score at 39.6 and 41.4. Kimi K2.7 Code is made by Moonshot AI 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 Kimi K2.7 Code compare to Laguna S 2.1 in benchmarks?

Kimi K2.7 Code scores MCP-Mark: 81.1%, MCP Atlas: 76.0%, LiveBench: 71.9%, Kimi Code Bench v2: 62.0%, Program Bench: 53.6%. 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 Kimi K2.7 Code cheaper than Laguna S 2.1?

Laguna S 2.1 is 7.4x cheaper for input tokens. Kimi K2.7 Code costs $0.74/M input and $3.50/M output via deepinfra. Laguna S 2.1 costs $0.10/M input and $0.20/M output via poolside.

What are the context window sizes for Kimi K2.7 Code and Laguna S 2.1?

Kimi K2.7 Code supports 262K 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 Kimi K2.7 Code and Laguna S 2.1?

Key differences include LLM Stats Score (39.6 vs 41.4), context window (262K vs 1.0M), input pricing ($0.74 vs $0.10/M), multimodal support (yes vs no), licensing (Modified MIT License vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2.7 Code and Laguna S 2.1?

Kimi K2.7 Code is developed by Moonshot AI and Laguna S 2.1 is developed by Poolside.

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