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Kimi K2-Thinking-0905 vs Nemotron Labs Dory 1.0 (4B)

Kimi K2-Thinking-0905 leads the LLM Stats Score 35.6 to 22.1.

Moonshot AI · NVIDIA · Updated for 2026

Which is better?

Kimi K2-Thinking-0905 leads the overall LLM Stats Score 35.6 to 22.1, ranking #101 overall.

In the 4 individual benchmarks reported for both models, Kimi K2-Thinking-0905 wins 4; this is a narrower head-to-head signal than the composite indexes.

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

Choose Kimi K2-Thinking-0905

  • overall performance matters — it scores 35.6 and ranks #101 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results

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-Thinking-0905
Moonshot AI
Nemotron Labs Dory 1.0 (4B)
NVIDIA
Core performance indexes
LLM Stats Score
35.6
#101
22.1
#202
Reasoning
36.0
#96
19.8
#213
Coding
20.3
#115
2.9
#241
Agents
15.8
#102
-0.7
#198
Cost, coverage & limits
Benchmark wins
4 of 4
0 of 4
Input price
$0.47 / M
— / M
Output price
$2.00 / M
— / M
Context window
262,144
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Kimi K2-Thinking-0905
Nemotron Labs Dory 1.0 (4B)
Math
37.7#30
12.2#245
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

21 reported for Kimi K2-Thinking-0905 · 10 for Nemotron Labs Dory 1.0 (4B)

4 shared

Kimi K2-Thinking-0905 outperforms in 4 benchmarks (GPQA, Humanity's Last Exam, SciCode, SWE-Bench Verified), while Nemotron Labs Dory 1.0 (4B) is better at 0 benchmarks.

Kimi K2-Thinking-0905 significantly outperforms across most benchmarks.

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

996.0B diff

Kimi K2-Thinking-0905 has 996.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 24900.0% larger.

Moonshot AI
Kimi K2-Thinking-0905
1.0Tparameters
NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
1000.0B
Kimi K2-Thinking-0905
4.0B
Nemotron Labs Dory 1.0 (4B)

Context Window

Maximum input and output token capacity

Only Kimi K2-Thinking-0905 specifies input context (262,144 tokens). Only Kimi K2-Thinking-0905 specifies output context (262,144 tokens).

Moonshot AI
Kimi K2-Thinking-0905
Input262,144 tokens
Output262,144 tokens
NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Tue Oct 20 2026 • llm-stats.com

License

Usage and distribution terms

Kimi K2-Thinking-0905 is licensed under MIT, 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-Thinking-0905

MIT

Open weights

Nemotron Labs Dory 1.0 (4B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

Kimi K2-Thinking-0905 was released on 2025-09-05, while Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16.

Nemotron Labs Dory 1.0 (4B) is 14 months newer than Kimi K2-Thinking-0905.

Kimi K2-Thinking-0905

Sep 5, 2025

1.1 years ago

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

1 days ago

1.1yr 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-Thinking-0905 and Nemotron Labs Dory 1.0 (4B) side-by-side, then vote on the output you prefer.

Kimi K2-Thinking-0905
✓ Preferred
Nemotron Labs Dory 1.0 (4B)
Open in Playground

FAQ

Common questions about Kimi K2-Thinking-0905 vs Nemotron Labs Dory 1.0 (4B).

Which is better, Kimi K2-Thinking-0905 or Nemotron Labs Dory 1.0 (4B)?

Kimi K2-Thinking-0905 leads the LLM Stats Score 35.6 to 22.1. Kimi K2-Thinking-0905 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-Thinking-0905 compare to Nemotron Labs Dory 1.0 (4B) in benchmarks?

Kimi K2-Thinking-0905 scores AIME 2025: 100.0%, HMMT 2025: 97.5%, MMLU-Redux: 94.4%, FRAMES: 87.0%, MMLU-Pro: 84.6%. 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-Thinking-0905 and Nemotron Labs Dory 1.0 (4B)?

Kimi K2-Thinking-0905 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-Thinking-0905 and Nemotron Labs Dory 1.0 (4B)?

Key differences include LLM Stats Score (35.6 vs 22.1), licensing (MIT vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2-Thinking-0905 and Nemotron Labs Dory 1.0 (4B)?

Kimi K2-Thinking-0905 is developed by Moonshot AI and Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA.

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