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Kimi K2 Instruct vs Nemotron Labs Dory 1.0 (4B)

Kimi K2 Instruct and Nemotron Labs Dory 1.0 (4B) are closely matched at 21.6 and 22.1 on the LLM Stats Score.

Moonshot AI · NVIDIA · Updated for 2026

Which is better?

Kimi K2 Instruct and Nemotron Labs Dory 1.0 (4B) are closely matched on the overall LLM Stats Score at 21.6 and 22.1.

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 Instruct

  • you want predictable pricing at $0.50/M input and $0.50/M output

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.

Core performance indexes
21.6
#206
22.1
#202
21.7
#195
19.8
#213
12.1
#168
2.9
#241
-1.1
#200
-0.7
#198
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$0.50 / M
— / M
Output price
$0.50 / M
— / M
Context window
200,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Kimi K2 Instruct
Nemotron Labs Dory 1.0 (4B)
22.1#149
12.2#245
6.3#163
-2.1#205
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

38 reported for Kimi K2 Instruct · 10 for Nemotron Labs Dory 1.0 (4B)

2 shared

Kimi K2 Instruct outperforms in 1 benchmarks (GPQA), while Nemotron Labs Dory 1.0 (4B) is better at 1 benchmark (Humanity's Last Exam).

Both models are evenly matched across the benchmarks.

Mon Oct 19 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 Instruct has 996.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 24900.0% larger.

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

Context Window

Maximum input and output token capacity

Only Kimi K2 Instruct specifies input context (200,000 tokens). Only Kimi K2 Instruct specifies output context (200,000 tokens).

Moonshot AI
Kimi K2 Instruct
Input200,000 tokens
Output200,000 tokens
NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Mon Oct 19 2026 • llm-stats.com

License

Usage and distribution terms

Kimi K2 Instruct 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 Instruct

MIT

Open weights

Nemotron Labs Dory 1.0 (4B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

Kimi K2 Instruct was released on 2025-07-11, while Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16.

Nemotron Labs Dory 1.0 (4B) is 15 months newer than Kimi K2 Instruct.

Kimi K2 Instruct

Jul 11, 2025

1.3 years ago

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

1 days ago

1.3yr 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 Instruct and Nemotron Labs Dory 1.0 (4B) side-by-side, then vote on the output you prefer.

Kimi K2 Instruct
✓ Preferred
Nemotron Labs Dory 1.0 (4B)
Open in Playground

FAQ

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

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

Kimi K2 Instruct and Nemotron Labs Dory 1.0 (4B) are closely matched on the LLM Stats Score at 21.6 and 22.1. Kimi K2 Instruct 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 Instruct compare to Nemotron Labs Dory 1.0 (4B) in benchmarks?

Kimi K2 Instruct scores MATH-500: 97.4%, GSM8k: 97.3%, CBNSL: 95.6%, HumanEval: 93.3%, MMLU-Redux: 92.7%. 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 Instruct and Nemotron Labs Dory 1.0 (4B)?

Kimi K2 Instruct supports 200K 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 Instruct and Nemotron Labs Dory 1.0 (4B)?

Key differences include LLM Stats Score (21.6 vs 22.1), licensing (MIT vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2 Instruct and Nemotron Labs Dory 1.0 (4B)?

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