The AI arena is free today

Open Superagent

GLM-5.3 vs Kimi-k1.5

Comparing GLM-5.3 and Kimi-k1.5 across benchmarks, pricing, and capabilities.

Zhipu AI · Moonshot AI · Updated for 2026

Which is better?

GLM-5.3 and Kimi-k1.5 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GLM-5.3

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

Choose Kimi-k1.5

  • you are already invested in the Moonshot AI ecosystem

At a glance

The differences that matter most.

GLM-5.3
Zhipu AI
Kimi-k1.5
Moonshot AI
Benchmark wins
—
—
Input price
$1.40 / M
— / M
Output price
$4.40 / M
— / M
Context window
1,000,000
—
Released
Aug 2026
Jan 2025
License
Unknown
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 and Kimi-k1.5don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only GLM-5.3 specifies input context (1,000,000 tokens). Only GLM-5.3 specifies output context (128,000 tokens).

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Moonshot AI
Kimi-k1.5
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi-k1.5 supports multimodal inputs, whereas GLM-5.3 does not.

Kimi-k1.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5.3

Text
Images
Audio
Video

Kimi-k1.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Kimi-k1.5 was released on 2025-01-20.

GLM-5.3 is 19 months newer than Kimi-k1.5.

GLM-5.3

Aug 14, 2026

1 weeks ago

1.6yr newer
Kimi-k1.5

Jan 20, 2025

1.6 years ago

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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GLM-5.3 and Kimi-k1.5 side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Kimi-k1.5
Open in Playground

FAQ

Common questions about GLM-5.3 vs Kimi-k1.5.

Which is better, GLM-5.3 or Kimi-k1.5?

GLM-5.3 (Zhipu AI) and Kimi-k1.5 (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-5.3 compare to Kimi-k1.5 in benchmarks?

GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%. Kimi-k1.5 scores MATH-500: 96.2%, CLUEWSC: 91.4%, C-Eval: 88.3%, MMLU: 87.4%, IFEval: 87.2%.

What are the context window sizes for GLM-5.3 and Kimi-k1.5?

GLM-5.3 supports 1.0M tokens and Kimi-k1.5 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 GLM-5.3 and Kimi-k1.5?

Key differences include multimodal support (no vs yes), licensing (Unknown vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Kimi-k1.5?

GLM-5.3 is developed by Zhipu AI and Kimi-k1.5 is developed by Moonshot AI.

Related comparisons