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DeepSeek-V3 0324 vs Kimi K2.8 Preview

Comparing DeepSeek-V3 0324 and Kimi K2.8 Preview across benchmarks, pricing, and capabilities.

DeepSeek · Moonshot AI · Updated for 2026

Which is better?

DeepSeek-V3 0324 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 DeepSeek-V3 0324

  • 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
$0.24 / M
— / M
Output price
$0.90 / M
— / M
Context window
163,840
1,048,576

Individual benchmarks

5 reported for DeepSeek-V3 0324 · 0 for Kimi K2.8 Preview

No common benchmarks found

DeepSeek-V3 0324 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 DeepSeek-V3 0324's 163,840 tokens. Only DeepSeek-V3 0324 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Moonshot AI
Kimi K2.8 Preview
Input1,048,576 tokens
Output- tokens
Fri Sep 18 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Kimi K2.8 Preview supports multimodal inputs, whereas DeepSeek-V3 0324 does not.

Kimi K2.8 Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3 0324

Text
Images
Audio
Video

Kimi K2.8 Preview

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), 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.

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

Kimi K2.8 Preview

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while Kimi K2.8 Preview was released on 2026-09-11.

Kimi K2.8 Preview is 18 months newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.5 years ago

Kimi K2.8 Preview

Sep 11, 2026

5 days ago

1.5yr 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

DeepSeek-V3 0324 is available from DeepInfra, Novita. Kimi K2.8 Preview is available from Moonshot AI.

DeepSeek-V3 0324

deepinfra logo
Deepinfra
Input Price:Input: $0.24/1MOutput Price:Output: $0.90/1M
novita logo
Novita
Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M

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 DeepSeek-V3 0324 and Kimi K2.8 Preview side-by-side, then vote on the output you prefer.

DeepSeek-V3 0324
✓ Preferred
Kimi K2.8 Preview
Open in Playground

FAQ

Common questions about DeepSeek-V3 0324 vs Kimi K2.8 Preview.

Which is better, DeepSeek-V3 0324 or Kimi K2.8 Preview?

DeepSeek-V3 0324 (DeepSeek) 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 DeepSeek-V3 0324 compare to Kimi K2.8 Preview in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%.

What are the context window sizes for DeepSeek-V3 0324 and Kimi K2.8 Preview?

DeepSeek-V3 0324 supports 164K 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 DeepSeek-V3 0324 and Kimi K2.8 Preview?

Key differences include context window (164K vs 1.0M), multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 0324 and Kimi K2.8 Preview?

DeepSeek-V3 0324 is developed by DeepSeek and Kimi K2.8 Preview is developed by Moonshot AI.