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Kimi K2.8 Preview vs Magistral Medium

Comparing Kimi K2.8 Preview and Magistral Medium across benchmarks, pricing, and capabilities.

Moonshot AI · Mistral AI · Updated for 2026

Which is better?

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

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Kimi K2.8 Preview

  • you want the most recent training data — it shipped Sep 2026

Choose Magistral Medium

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

At a glance

The differences that matter most.

Benchmark wins
Input price
— / M
— / M
Output price
— / M
— / M
Context window
1,048,576

Individual benchmarks

0 reported for Kimi K2.8 Preview · 6 for Magistral Medium

No common benchmarks found

Kimi K2.8 Preview and Magistral Mediumdon'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

Only Kimi K2.8 Preview specifies input context (1,048,576 tokens).

Moonshot AI
Kimi K2.8 Preview
Input1,048,576 tokens
Output- tokens
Mistral AI
Magistral Medium
Input- tokens
Output- tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Kimi K2.8 Preview and Magistral Medium support multimodal inputs.

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

Kimi K2.8 Preview

Text
Images
Audio
Video

Magistral Medium

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.8 Preview is licensed under a proprietary license, while Magistral Medium uses Apache 2.0.

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

Kimi K2.8 Preview

Proprietary

Closed source

Magistral Medium

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2.8 Preview was released on 2026-09-11, while Magistral Medium was released on 2025-06-10.

Kimi K2.8 Preview is 15 months newer than Magistral Medium.

Kimi K2.8 Preview

Sep 11, 2026

3 days ago

1.3yr newer
Magistral Medium

Jun 10, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Magistral Medium has a documented knowledge cutoff of 2025-06-01, while Kimi K2.8 Preview's cutoff date is not specified.

We can confirm Magistral Medium's training data extends to 2025-06-01, but cannot make a direct comparison without Kimi K2.8 Preview's cutoff date.

Kimi K2.8 Preview

Magistral Medium

Jun 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

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

Kimi K2.8 Preview
✓ Preferred
Magistral Medium
Open in Playground

FAQ

Common questions about Kimi K2.8 Preview vs Magistral Medium.

Which is better, Kimi K2.8 Preview or Magistral Medium?

Kimi K2.8 Preview (Moonshot AI) and Magistral Medium (Mistral 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 Kimi K2.8 Preview compare to Magistral Medium in benchmarks?

Magistral Medium scores AIME 2024: 73.6%, GPQA: 70.8%, AIME 2025: 64.9%, LiveCodeBench: 50.3%, Aider-Polyglot: 47.1%.

What are the context window sizes for Kimi K2.8 Preview and Magistral Medium?

Kimi K2.8 Preview supports 1.0M tokens and Magistral Medium 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 K2.8 Preview and Magistral Medium?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2.8 Preview and Magistral Medium?

Kimi K2.8 Preview is developed by Moonshot AI and Magistral Medium is developed by Mistral AI.