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GLM-4.7 vs Kimi K2.8 Preview

Comparing GLM-4.7 and Kimi K2.8 Preview across benchmarks, pricing, and capabilities.

Zhipu AI · Moonshot AI · Updated for 2026

Which is better?

GLM-4.7 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 GLM-4.7

  • 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.

GLM-4.7
Zhipu AI
Kimi K2.8 Preview
Moonshot AI
Benchmark wins
—
—
Input price
$0.40 / M
— / M
Output price
$1.75 / M
— / M
Context window
202,752
1,048,576

Individual benchmarks

13 reported for GLM-4.7 · 0 for Kimi K2.8 Preview

No common benchmarks found

GLM-4.7 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 GLM-4.7's 202,752 tokens. Only GLM-4.7 specifies output context (202,752 tokens).

Zhipu AI
GLM-4.7
Input202,752 tokens
Output202,752 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 GLM-4.7 and Kimi K2.8 Preview support multimodal inputs.

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

GLM-4.7

Text
Images
Audio
Video

Kimi K2.8 Preview

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.7 is licensed under MIT, 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.

GLM-4.7

MIT

Open weights

Kimi K2.8 Preview

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-4.7 was released on 2025-12-22, while Kimi K2.8 Preview was released on 2026-09-11.

Kimi K2.8 Preview is 9 months newer than GLM-4.7.

GLM-4.7

Dec 22, 2025

9 months ago

Kimi K2.8 Preview

Sep 11, 2026

1 weeks ago

8mo 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

GLM-4.7 is available from DeepInfra, Fireworks, Novita. Kimi K2.8 Preview is available from Moonshot AI.

GLM-4.7

deepinfra logo
Deepinfra
Input Price:Input: $0.40/1MOutput Price:Output: $1.75/1M
fireworks logo
Fireworks
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M
novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M

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 GLM-4.7 and Kimi K2.8 Preview side-by-side, then vote on the output you prefer.

GLM-4.7
✓ Preferred
Kimi K2.8 Preview
Open in Playground

FAQ

Common questions about GLM-4.7 vs Kimi K2.8 Preview.

Which is better, GLM-4.7 or Kimi K2.8 Preview?

GLM-4.7 (Zhipu AI) 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 GLM-4.7 compare to Kimi K2.8 Preview in benchmarks?

GLM-4.7 scores AIME 2025: 95.7%, Tau-bench: 87.4%, GPQA: 85.7%, LiveCodeBench v6: 84.9%, MMLU-Pro: 84.3%.

What are the context window sizes for GLM-4.7 and Kimi K2.8 Preview?

GLM-4.7 supports 203K 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 GLM-4.7 and Kimi K2.8 Preview?

Key differences include context window (203K vs 1.0M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.7 and Kimi K2.8 Preview?

GLM-4.7 is developed by Zhipu AI and Kimi K2.8 Preview is developed by Moonshot AI.

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