Model Comparison

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

Comparing GLM-5 and Kimi K2 0905 across benchmarks, pricing, and capabilities.

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

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

On price, Kimi K2 0905 is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Kimi K2 0905 also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

Choose GLM-5 if…

  • you want the most recent training data — it shipped Feb 2026
  • you need open weights you can self-host or fine-tune

Choose Kimi K2 0905 if…

  • cost matters — it's about 1.4x cheaper per token
  • you process long inputs — it offers a 262,144 token context window
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Kimi K2 0905don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Kimi K2 0905 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 1.7x more expensive than Kimi K2 0905 ($0.60/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 1.3x more expensive than Kimi K2 0905 ($2.50/1M tokens).

In conclusion, GLM-5 is more expensive than Kimi K2 0905.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Jun 13 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
Moonshot AI
Kimi K2 0905
Input tokens$0.60
Output tokens$2.50
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

256.0B diff

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

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

Context Window

Maximum input and output token capacity

Kimi K2 0905 accepts 262,144 input tokens compared to GLM-5's 200,000 tokens. Kimi K2 0905 can generate longer responses up to 262,144 tokens, while GLM-5 is limited to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Moonshot AI
Kimi K2 0905
Input262,144 tokens
Output262,144 tokens
Sat Jun 13 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Kimi K2 0905 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-5

MIT

Open weights

Kimi K2 0905

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

GLM-5

Feb 11, 2026

4 months ago

5mo newer
Kimi K2 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

Provider Availability

GLM-5 is available from FriendliAI, ZAI. Kimi K2 0905 is available from Novita.

GLM-5

friendli logo
FriendliAI
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M
z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

Kimi K2 0905

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Has open weights
Moonshot AI
Larger context window (262,144 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Moonshot AI
Kimi K2 0905

FAQ

Common questions about GLM-5 vs Kimi K2 0905.

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

GLM-5 (Zhipu AI) and Kimi K2 0905 (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 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 0905 scores HumanEval: 94.5%, MMLU: 90.2%, MATH: 89.1%, MMLU-Pro: 82.5%, GPQA: 75.8%.

Is GLM-5 cheaper than Kimi K2 0905?

Kimi K2 0905 is 1.7x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. Kimi K2 0905 costs $0.60/M input and $2.50/M output via novita.

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

GLM-5 supports 200K tokens and Kimi K2 0905 supports 262K 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 and Kimi K2 0905?

Key differences include context window (200K vs 262K), input pricing ($1.00 vs $0.60/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and Kimi K2 0905?

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

Related comparisons