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Inkling-Small vs Kimi K2.8 Preview

Comparing Inkling-Small and Kimi K2.8 Preview across benchmarks, pricing, and capabilities.

Thinking Machines Lab · Moonshot AI · Updated for 2026

Which is better?

Inkling-Small and Kimi K2.8 Preview trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Kimi K2.8 Preview also accepts a larger context window (1,048,576 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-Small

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

Choose Kimi K2.8 Preview

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
256,000
1,048,576

Individual benchmarks

24 reported for Inkling-Small · 0 for Kimi K2.8 Preview

No common benchmarks found

Inkling-Small and Kimi K2.8 Previewdon'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

Context Window

Maximum input and output token capacity

Kimi K2.8 Preview accepts 1,048,576 input tokens compared to Inkling-Small's 256,000 tokens. Only Inkling-Small specifies output context (256,000 tokens).

Thinking Machines Lab
Inkling-Small
Input256,000 tokens
Output256,000 tokens
Moonshot AI
Kimi K2.8 Preview
Input1,048,576 tokens
Output- tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Inkling-Small and Kimi K2.8 Preview support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Inkling-Small

Text
Images
Audio
Video

Kimi K2.8 Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Inkling-Small is licensed under Apache 2.0, while Kimi K2.8 Preview uses a proprietary license.

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

Inkling-Small

Apache 2.0

Open weights

Kimi K2.8 Preview

Proprietary

Closed source

Release Timeline

When each model was launched

Inkling-Small was released on 2026-07-30, while Kimi K2.8 Preview was released on 2026-09-11.

Kimi K2.8 Preview is 1 month newer than Inkling-Small.

Inkling-Small

Jul 30, 2026

1 months ago

Kimi K2.8 Preview

Sep 11, 2026

1 weeks ago

1mo 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

Provider Availability

Inkling-Small is available from Thinking Machines Lab, DeepInfra. Kimi K2.8 Preview is available from Moonshot AI.

Inkling-Small

thinking-machines logo
Unknown Organization
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.45/1MOutput Price:Output: $1.20/1M

Kimi K2.8 Preview

moonshot logo
Unknown Organization
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Inkling-Small and Kimi K2.8 Preview side-by-side, then vote on the output you prefer.

Inkling-Small
✓ Preferred
Kimi K2.8 Preview
Open in Playground

FAQ

Common questions about Inkling-Small vs Kimi K2.8 Preview.

Which is better, Inkling-Small or Kimi K2.8 Preview?

Inkling-Small (Thinking Machines Lab) and Kimi K2.8 Preview (Moonshot AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Inkling-Small compare to Kimi K2.8 Preview in benchmarks?

Inkling-Small scores AIME 2026: 95.5%, VoiceBench Avg: 90.1%, GPQA: 89.5%, Global-MMLU-Lite: 86.7%, ARC-AGI: 84.0%.

What are the context window sizes for Inkling-Small and Kimi K2.8 Preview?

Inkling-Small supports 256K tokens and Kimi K2.8 Preview supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Inkling-Small and Kimi K2.8 Preview?

Key differences include context window (256K vs 1.0M), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Inkling-Small and Kimi K2.8 Preview?

Inkling-Small is developed by Thinking Machines Lab and Kimi K2.8 Preview is developed by Moonshot AI.