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Inkling 2 Small vs Kimi K2 Base

Inkling 2 Small leads the LLM Stats Score 47.2 to 12.7.

Thinking Machines Lab · Moonshot AI · Updated for 2026

Which is better?

Inkling 2 Small leads the overall LLM Stats Score 47.2 to 12.7, ranking #40 overall.

In the 1 individual benchmarks reported for both models, Inkling 2 Small wins 1; 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 Inkling 2 Small

  • overall performance matters — it scores 47.2 and ranks #40 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Nov 2026

Choose Kimi K2 Base

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

At a glance

The differences that matter most.

Core performance indexes
47.2
#40
12.7
#291
48.0
#26
11.8
#290
36.1
#32
10.5
#201
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.30 / M
— / M
Output price
$1.00 / M
— / M
Context window
256,000
—

Individual benchmarks

11 reported for Inkling 2 Small · 13 for Kimi K2 Base

1 shared

Inkling 2 Small outperforms in 1 benchmarks (GPQA), while Kimi K2 Base is better at 0 benchmarks.

Inkling 2 Small significantly outperforms across most benchmarks.

Fri Nov 13 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

406.0B diff

Kimi K2 Base has 406.0B more parameters than Inkling 2 Small, making it 68.4% larger.

Thinking Machines Lab
Inkling 2 Small
594.0Bparameters
Moonshot AI
Kimi K2 Base
1.0Tparameters
594.0B
Inkling 2 Small
1000.0B
Kimi K2 Base

Context Window

Maximum input and output token capacity

Only Inkling 2 Small specifies input context (256,000 tokens).

Thinking Machines Lab
Inkling 2 Small
Input256,000 tokens
Output- tokens
Moonshot AI
Kimi K2 Base
Input- tokens
Output- tokens
Fri Nov 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Inkling 2 Small supports multimodal inputs, whereas Kimi K2 Base does not.

Inkling 2 Small can handle both text and other forms of data like images, making it suitable for multimodal applications.

Inkling 2 Small

Text
Images
Audio
Video

Kimi K2 Base

Text
Images
Audio
Video

License

Usage and distribution terms

Inkling 2 Small is licensed under a proprietary license, while Kimi K2 Base uses MIT.

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

Inkling 2 Small

Proprietary

Closed source

Kimi K2 Base

MIT

Open weights

Release Timeline

When each model was launched

Inkling 2 Small was released on 2026-11-05, while Kimi K2 Base was released on 2025-07-11.

Inkling 2 Small is 16 months newer than Kimi K2 Base.

Inkling 2 Small

Nov 5, 2026

1 weeks ago

1.3yr newer
Kimi K2 Base

Jul 11, 2025

1.3 years ago

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 Inkling 2 Small and Kimi K2 Base side-by-side, then vote on the output you prefer.

Inkling 2 Small
✓ Preferred
Kimi K2 Base
Open in Playground

FAQ

Common questions about Inkling 2 Small vs Kimi K2 Base.

Which is better, Inkling 2 Small or Kimi K2 Base?

Inkling 2 Small leads the LLM Stats Score 47.2 to 12.7. Inkling 2 Small is made by Thinking Machines Lab and Kimi K2 Base is made by Moonshot AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Inkling 2 Small compare to Kimi K2 Base in benchmarks?

Inkling 2 Small scores GPQA: 93.0%, BrowseComp: 90.2%, CharXiv-R: 85.6%, MCP Atlas: 85.0%, SWE-Bench Verified: 82.2%. Kimi K2 Base scores C-Eval: 92.5%, GSM8k: 92.1%, MMLU-redux-2.0: 90.2%, MMLU: 87.8%, TriviaQA: 85.1%.

What are the context window sizes for Inkling 2 Small and Kimi K2 Base?

Inkling 2 Small supports 256K tokens and Kimi K2 Base 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 Inkling 2 Small and Kimi K2 Base?

Key differences include LLM Stats Score (47.2 vs 12.7), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Inkling 2 Small and Kimi K2 Base?

Inkling 2 Small is developed by Thinking Machines Lab and Kimi K2 Base is developed by Moonshot AI.