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Kimi K2.7 Code vs Seed 2.1 Pro

Kimi K2.7 Code and Seed 2.1 Pro are closely matched at 39.6 and 47.0 on the LLM Stats Score.

Moonshot AI · ByteDance · Updated for 2026

Which is better?

Kimi K2.7 Code and Seed 2.1 Pro are closely matched on the overall LLM Stats Score at 39.6 and 47.0.

The models split the 2 individual benchmarks reported for both models evenly.

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

Choose Kimi K2.7 Code

  • you need open weights you can self-host or fine-tune

Choose Seed 2.1 Pro

  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jun 2026

At a glance

The differences that matter most.

Kimi K2.7 Code
Moonshot AI
Seed 2.1 Pro
ByteDance
Core performance indexes
LLM Stats Score
39.6
#49
47.0
#20
Reasoning
35.2
#74
47.9
#18
Coding
32.2
#42
36.0
#25
Agents
28.0
#37
33.1
#22
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$0.74 / M
— / M
Output price
$3.50 / M
— / M
Context window
262,144
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Kimi K2.7 Code
Seed 2.1 Pro
Tool use
25.6#26
27.9#17
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Kimi K2.7 Code · 94 for Seed 2.1 Pro

2 shared

Kimi K2.7 Code outperforms in 1 benchmarks (Program Bench), while Seed 2.1 Pro is better at 1 benchmark (MCP Atlas).

Both models are evenly matched across the benchmarks.

Fri Aug 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Kimi K2.7 Code specifies input context (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
ByteDance
Seed 2.1 Pro
Input- tokens
Output- tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Kimi K2.7 Code and Seed 2.1 Pro support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Kimi K2.7 Code

Text
Images
Audio
Video

Seed 2.1 Pro

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.7 Code is licensed under Modified MIT License, while Seed 2.1 Pro uses a proprietary license.

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

Seed 2.1 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

Kimi K2.7 Code was released on 2026-06-12, while Seed 2.1 Pro was released on 2026-06-24.

Seed 2.1 Pro is 0 month newer than Kimi K2.7 Code.

Kimi K2.7 Code

Jun 12, 2026

2 months ago

Seed 2.1 Pro

Jun 24, 2026

2 months ago

1w 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Kimi K2.7 Code and Seed 2.1 Pro side-by-side, then vote on the output you prefer.

Kimi K2.7 Code
✓ Preferred
Seed 2.1 Pro
Open in Playground

FAQ

Common questions about Kimi K2.7 Code vs Seed 2.1 Pro.

Which is better, Kimi K2.7 Code or Seed 2.1 Pro?

Kimi K2.7 Code and Seed 2.1 Pro are closely matched on the LLM Stats Score at 39.6 and 47.0. Kimi K2.7 Code is made by Moonshot AI and Seed 2.1 Pro is made by ByteDance. 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 Seed 2.1 Pro 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%. Seed 2.1 Pro scores CharXiv-D: 95.5%, MathVision: 94.5%, MathVista: 90.7%, MathVerse: 89.7%, Video-MME: 89.2%.

What are the context window sizes for Kimi K2.7 Code and Seed 2.1 Pro?

Kimi K2.7 Code supports 262K tokens and Seed 2.1 Pro supports an unknown number of 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 Seed 2.1 Pro?

Key differences include LLM Stats Score (39.6 vs 47.0), licensing (Modified MIT License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2.7 Code and Seed 2.1 Pro?

Kimi K2.7 Code is developed by Moonshot AI and Seed 2.1 Pro is developed by ByteDance.

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