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GLM-5.3 vs Kimi K2 Base

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

Zhipu AI · Moonshot AI · Updated for 2026

Which is better?

GLM-5.3 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

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

Choose Kimi K2 Base

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

At a glance

The differences that matter most.

GLM-5.3
Zhipu AI
Kimi K2 Base
Moonshot AI
Benchmark wins
—
—
Input price
$1.40 / M
— / M
Output price
$4.40 / M
— / M
Context window
1,000,000
—
Released
Aug 2026
Jul 2025
License
Unknown
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 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

247.0B diff

Kimi K2 Base has 247.0B more parameters than GLM-5.3, making it 32.8% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Moonshot AI
Kimi K2 Base
1.0Tparameters
753.0B
GLM-5.3
1000.0B
Kimi K2 Base

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 K2 Base
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Kimi K2 Base was released on 2025-07-11.

GLM-5.3 is 13 months newer than Kimi K2 Base.

GLM-5.3

Aug 14, 2026

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

GLM-5.3
✓ Preferred
Kimi K2 Base
Open in Playground

FAQ

Common questions about GLM-5.3 vs Kimi K2 Base.

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

GLM-5.3 (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 compare to Kimi K2 Base 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 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 and Kimi K2 Base?

GLM-5.3 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 and Kimi K2 Base?

Key differences include licensing (Unknown vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Kimi K2 Base?

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

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