Inkling 2 Small vs Kimi K2 Instruct
Inkling 2 Small leads the LLM Stats Score 47.2 to 21.1. Inkling 2 Small is 1.1x cheaper per token.
Thinking Machines Lab · Moonshot AI · Updated for 2026
Which is better?
Inkling 2 Small leads the overall LLM Stats Score 47.2 to 21.1, ranking #40 overall.
In the 2 individual benchmarks reported for both models, Inkling 2 Small wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Inkling 2 Small is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Inkling 2 Small also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.
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 and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- cost matters — it's about 1.1x cheaper per token
- you process long inputs — it offers a 256,000 token context window
- you want the most recent training data — it shipped Nov 2026
Choose Kimi K2 Instruct
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for Inkling 2 Small · 38 for Kimi K2 Instruct
Inkling 2 Small outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while Kimi K2 Instruct is better at 0 benchmarks.
Inkling 2 Small significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Inkling 2 Small ($0.30/1M tokens) is 1.7x cheaper than Kimi K2 Instruct ($0.50/1M tokens).
For output processing, Inkling 2 Small ($1.00/1M tokens) is 2.0x more expensive than Kimi K2 Instruct ($0.50/1M tokens).
In conclusion, Kimi K2 Instruct is more expensive than Inkling 2 Small.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K2 Instruct has 406.0B more parameters than Inkling 2 Small, making it 68.4% larger.
Context Window
Maximum input and output token capacity
Inkling 2 Small accepts 256,000 input tokens compared to Kimi K2 Instruct's 200,000 tokens. Only Kimi K2 Instruct specifies output context (200,000 tokens).
Input capabilities
Documented input modalities across available providers
Inkling 2 Small supports multimodal inputs, whereas Kimi K2 Instruct 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
Kimi K2 Instruct
License
Usage and distribution terms
Inkling 2 Small is licensed under a proprietary license, while Kimi K2 Instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Inkling 2 Small was released on 2026-11-05, while Kimi K2 Instruct was released on 2025-07-11.
Inkling 2 Small is 16 months newer than Kimi K2 Instruct.
Nov 5, 2026
1 weeks ago
1.3yr newerJul 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.
Provider Availability
Inkling 2 Small is available from Thinking Machines Lab. Kimi K2 Instruct is available from Fireworks, Novita.
Inkling 2 Small
Kimi K2 Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Inkling 2 Small and Kimi K2 Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Inkling 2 Small vs Kimi K2 Instruct.