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GLM-5.3-Flash vs Kimi K2 Base

Comparing GLM-5.3-Flash and Kimi K2 Base across benchmarks, pricing, and capabilities.

Zhipu AI · Moonshot AI · Updated for 2026

Which is better?

GLM-5.3-Flash and Kimi K2 Base 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-Flash

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

Choose Kimi K2 Base

  • you are already invested in the Moonshot AI ecosystem

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.15 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,048,576
Released
Aug 2026
Jul 2025
License
MIT
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3-Flash and Kimi K2 Basedon'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

Model Size

Parameter count comparison

680.0B diff

Kimi K2 Base has 680.0B more parameters than GLM-5.3-Flash, making it 212.5% larger.

Zhipu AI
GLM-5.3-Flash
320.0Bparameters
Moonshot AI
Kimi K2 Base
1.0Tparameters
320.0B
GLM-5.3-Flash
1000.0B
Kimi K2 Base

Context Window

Maximum input and output token capacity

Only GLM-5.3-Flash specifies input context (1,048,576 tokens). Only GLM-5.3-Flash specifies output context (131,072 tokens).

Zhipu AI
GLM-5.3-Flash
Input1,048,576 tokens
Output131,072 tokens
Moonshot AI
Kimi K2 Base
Input- tokens
Output- tokens
Fri Aug 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-5.3-Flash supports multimodal inputs, whereas Kimi K2 Base does not.

GLM-5.3-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5.3-Flash

Text
Images
Audio
Video

Kimi K2 Base

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

GLM-5.3-Flash

MIT

Open weights

Kimi K2 Base

MIT

Open weights

Release Timeline

When each model was launched

GLM-5.3-Flash was released on 2026-08-26, while Kimi K2 Base was released on 2025-07-11.

GLM-5.3-Flash is 14 months newer than Kimi K2 Base.

GLM-5.3-Flash

Aug 26, 2026

2 days ago

1.1yr newer
Kimi K2 Base

Jul 11, 2025

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

GLM-5.3-Flash
✓ Preferred
Kimi K2 Base
Open in Playground

FAQ

Common questions about GLM-5.3-Flash vs Kimi K2 Base.

Which is better, GLM-5.3-Flash or Kimi K2 Base?

GLM-5.3-Flash (Zhipu AI) and Kimi K2 Base (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-Flash compare to Kimi K2 Base in benchmarks?

GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, Chartography: 78.0%. Kimi K2 Base scores C-Eval: 92.5%, GSM8k: 92.1%, MMLU-redux-2.0: 90.2%, MMLU: 87.8%, TriviaQA: 85.1%.

What are the context window sizes for GLM-5.3-Flash and Kimi K2 Base?

GLM-5.3-Flash supports 1.0M tokens and Kimi K2 Base 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-Flash and Kimi K2 Base?

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

Who makes GLM-5.3-Flash and Kimi K2 Base?

GLM-5.3-Flash is developed by Zhipu AI and Kimi K2 Base is developed by Moonshot AI.