Model Comparison

GLM-5 vs Kimi K2-Instruct-0905Which is better in 2026?

GLM-5 significantly outperforms across most benchmarks.

Verdict: GLM-5 vs Kimi K2-Instruct-0905 — which is better?

GLM-5 (by Zhipu AI) and Kimi K2-Instruct-0905 (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.

GLM-5 outperforms in 1 benchmarks (SWE-Bench Verified), while Kimi K2-Instruct-0905 is better at 0 benchmarks. GLM-5 significantly outperforms across most benchmarks.

Choose GLM-5 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Feb 2026

Choose Kimi K2-Instruct-0905 if…

  • you are already invested in the Moonshot AI ecosystem
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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-5 outperforms in 1 benchmarks (SWE-Bench Verified), while Kimi K2-Instruct-0905 is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

256.0B diff

Kimi K2-Instruct-0905 has 256.0B more parameters than GLM-5, making it 34.4% larger.

Zhipu AI
GLM-5
744.0Bparameters
Moonshot AI
Kimi K2-Instruct-0905
1.0Tparameters
744.0B
GLM-5
1000.0B
Kimi K2-Instruct-0905

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-Instruct-0905
Input- tokens
Output- tokens
Sat Jun 13 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-Instruct-0905

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Kimi K2-Instruct-0905 was released on 2025-09-05.

GLM-5 is 5 months newer than Kimi K2-Instruct-0905.

GLM-5

Feb 11, 2026

4 months ago

5mo newer
Kimi K2-Instruct-0905

Sep 5, 2025

9 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

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Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Higher SWE-Bench Verified score (77.8% vs 65.8%)
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-Instruct-0905

FAQ

Common questions about GLM-5 vs Kimi K2-Instruct-0905.

Which is better, GLM-5 or Kimi K2-Instruct-0905?

GLM-5 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and Kimi K2-Instruct-0905 is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-5 compare to Kimi K2-Instruct-0905 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-Instruct-0905 scores MATH-500: 97.4%, MMLU-Redux: 92.7%, IFEval: 89.8%, AutoLogi: 89.5%, MMLU: 89.5%.

What are the context window sizes for GLM-5 and Kimi K2-Instruct-0905?

GLM-5 supports 200K tokens and Kimi K2-Instruct-0905 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-Instruct-0905?

GLM-5 is developed by Zhipu AI and Kimi K2-Instruct-0905 is developed by Moonshot AI.

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