The AI arena is free today

Open Superagent

Kimi K2.7 Code vs Nemotron Labs Dory 1.0 (4B)

Kimi K2.7 Code leads the LLM Stats Score 38.7 to 21.8.

Moonshot AI · NVIDIA · Updated for 2026

Which is better?

Kimi K2.7 Code leads the overall LLM Stats Score 38.7 to 21.8, ranking #79 overall.

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

Choose Kimi K2.7 Code

  • overall performance matters — it scores 38.7 and ranks #79 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes

Choose Nemotron Labs Dory 1.0 (4B)

  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Kimi K2.7 Code
Moonshot AI
Nemotron Labs Dory 1.0 (4B)
NVIDIA
Core performance indexes
LLM Stats Score
38.7
#79
21.8
#203
Reasoning
33.8
#112
19.6
#216
Coding
28.7
#70
2.8
#244
Agents
25.9
#66
-1.8
#203
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.68 / M
— / M
Output price
$3.40 / M
— / M
Context window
262,144
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Kimi K2.7 Code
Nemotron Labs Dory 1.0 (4B)
Tool use
23.0#50
-2.2#206
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Kimi K2.7 Code · 10 for Nemotron Labs Dory 1.0 (4B)

No common benchmarks found

Kimi K2.7 Code and Nemotron Labs Dory 1.0 (4B)don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

996.0B diff

Kimi K2.7 Code has 996.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 24900.0% larger.

Moonshot AI
Kimi K2.7 Code
1.0Tparameters
NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
1000.0B
Kimi K2.7 Code
4.0B
Nemotron Labs Dory 1.0 (4B)

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 (262,144 tokens).

Moonshot AI
Kimi K2.7 Code
Input262,144 tokens
Output262,144 tokens
NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Kimi K2.7 Code supports multimodal inputs, whereas Nemotron Labs Dory 1.0 (4B) 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

Nemotron Labs Dory 1.0 (4B)

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.7 Code is licensed under Modified MIT License, while Nemotron Labs Dory 1.0 (4B) 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

Nemotron Labs Dory 1.0 (4B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

Kimi K2.7 Code was released on 2026-06-12, while Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16.

Nemotron Labs Dory 1.0 (4B) is 4 months newer than Kimi K2.7 Code.

Kimi K2.7 Code

Jun 12, 2026

4 months ago

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

3 days ago

4mo 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?

Judge for yourself.

Run your own prompts against Kimi K2.7 Code and Nemotron Labs Dory 1.0 (4B) side-by-side, then vote on the output you prefer.

Kimi K2.7 Code
✓ Preferred
Nemotron Labs Dory 1.0 (4B)
Open in Playground

FAQ

Common questions about Kimi K2.7 Code vs Nemotron Labs Dory 1.0 (4B).

Which is better, Kimi K2.7 Code or Nemotron Labs Dory 1.0 (4B)?

Kimi K2.7 Code leads the LLM Stats Score 38.7 to 21.8. Kimi K2.7 Code is made by Moonshot AI and Nemotron Labs Dory 1.0 (4B) is made by NVIDIA. 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 Nemotron Labs Dory 1.0 (4B) 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%. Nemotron Labs Dory 1.0 (4B) scores IFBench: 77.9%, GPQA: 72.4%, AA-LCR: 71.0%, SWE-Bench Verified: 59.5%, SciCode: 34.9%.

What are the context window sizes for Kimi K2.7 Code and Nemotron Labs Dory 1.0 (4B)?

Kimi K2.7 Code supports 262K tokens and Nemotron Labs Dory 1.0 (4B) 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 Nemotron Labs Dory 1.0 (4B)?

Key differences include LLM Stats Score (38.7 vs 21.8), 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 Nemotron Labs Dory 1.0 (4B)?

Kimi K2.7 Code is developed by Moonshot AI and Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA.

Related comparisons