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GLM-4.7-Flash vs Kimi K2.8 Preview

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

Zhipu AI · Moonshot AI · Updated for 2026

Which is better?

GLM-4.7-Flash 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-Flash

  • 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-Flash
Zhipu AI
Kimi K2.8 Preview
Moonshot AI
Benchmark wins
—
—
Input price
$0.07 / M
— / M
Output price
$0.40 / M
— / M
Context window
128,000
1,048,576

Individual benchmarks

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

No common benchmarks found

GLM-4.7-Flash 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-Flash's 128,000 tokens. Only GLM-4.7-Flash specifies output context (16,384 tokens).

Zhipu AI
GLM-4.7-Flash
Input128,000 tokens
Output16,384 tokens
Moonshot AI
Kimi K2.8 Preview
Input1,048,576 tokens
Output- tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Kimi K2.8 Preview supports multimodal inputs, whereas GLM-4.7-Flash does not.

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

GLM-4.7-Flash

Text
Images
Audio
Video

Kimi K2.8 Preview

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.7-Flash 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-Flash

MIT

Open weights

Kimi K2.8 Preview

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-4.7-Flash was released on 2026-01-19, while Kimi K2.8 Preview was released on 2026-09-11.

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

GLM-4.7-Flash

Jan 19, 2026

7 months ago

Kimi K2.8 Preview

Sep 11, 2026

3 days ago

7mo 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-Flash is available from ZAI. Kimi K2.8 Preview is available from Moonshot AI.

GLM-4.7-Flash

z logo
Unknown Organization
Input Price:Input: $0.07/1MOutput Price:Output: $0.40/1M

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

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

FAQ

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

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

GLM-4.7-Flash (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-Flash compare to Kimi K2.8 Preview in benchmarks?

GLM-4.7-Flash scores AIME 2025: 91.6%, Tau-bench: 79.5%, GPQA: 75.2%, SWE-Bench Verified: 59.2%, BrowseComp: 42.8%.

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

GLM-4.7-Flash supports 128K 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-Flash and Kimi K2.8 Preview?

Key differences include context window (128K vs 1.0M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

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

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

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