Model Comparison

GLM-5 vs Kimi K2 BaseWhich is better in 2026?

Comparing GLM-5 and Kimi K2 Base across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs Kimi K2 Base — which is better?

GLM-5 (by Zhipu AI) and Kimi K2 Base (by Moonshot AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose GLM-5 if…

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

Choose Kimi K2 Base if…

  • you are already invested in the Moonshot AI ecosystem
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Kimi K2 Base don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

256.0B diff

Kimi K2 Base has 256.0B more parameters than GLM-5, making it 34.4% larger.

Zhipu AI
GLM-5
744.0Bparameters
Moonshot AI
Kimi K2 Base
1.0Tparameters
744.0B
GLM-5
1000.0B
Kimi K2 Base

Context Window

Maximum input and output token capacity

Only GLM-5 specifies input context (200,000 tokens). Only GLM-5 specifies output context (128,000 tokens).

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Moonshot AI
Kimi K2 Base
Input- tokens
Output- tokens
Sun Jun 07 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

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

GLM-5

MIT

Open weights

Kimi K2 Base

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Kimi K2 Base was released on 2025-07-11.

GLM-5 is 7 months newer than Kimi K2 Base.

GLM-5

Feb 11, 2026

3 months ago

7mo newer
Kimi K2 Base

Jul 11, 2025

11 months 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→

Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Moonshot AI

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Moonshot AI
Kimi K2 Base

FAQ

Common questions about GLM-5 vs Kimi K2 Base.

Which is better, GLM-5 or Kimi K2 Base?

GLM-5 (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 compare to Kimi K2 Base in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. 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 and Kimi K2 Base?

GLM-5 supports 200K 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.

Who makes GLM-5 and Kimi K2 Base?

GLM-5 is developed by Zhipu AI and Kimi K2 Base is developed by Moonshot AI.

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