Model Comparison

GLM-4.6 vs Kimi K2 0905Which is better in 2026?

GLM-4.6 significantly outperforms across most benchmarks. GLM-4.6 is 1.2x cheaper per token.

Verdict: GLM-4.6 vs Kimi K2 0905 — which is better?

GLM-4.6 (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.

GLM-4.6 outperforms in 1 benchmarks (GPQA), while Kimi K2 0905 is better at 0 benchmarks. GLM-4.6 significantly outperforms across most benchmarks.

On price, GLM-4.6 is roughly 1.2x 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-4.6 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • cost matters — it's about 1.2x cheaper per token
  • you want the most recent training data — it shipped Sep 2025
  • you need open weights you can self-host or fine-tune

Choose Kimi K2 0905 if…

  • you process long inputs — it offers a 262,144 token context window
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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-4.6 outperforms in 1 benchmarks (GPQA), while Kimi K2 0905 is better at 0 benchmarks.

GLM-4.6 significantly outperforms across most benchmarks.

Wed Jun 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-4.6 costs less

For input processing, GLM-4.6 ($0.55/1M tokens) is 1.1x cheaper than Kimi K2 0905 ($0.60/1M tokens).

For output processing, GLM-4.6 ($2.00/1M tokens) is 1.3x cheaper than Kimi K2 0905 ($2.50/1M tokens).

In conclusion, Kimi K2 0905 is more expensive than GLM-4.6.*

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

Lowest available price from all providers
Wed Jun 24 2026 • llm-stats.com
Zhipu AI
GLM-4.6
Input tokens$0.55
Output tokens$2.00
Best providerFireworks
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

643.0B diff

Kimi K2 0905 has 643.0B more parameters than GLM-4.6, making it 180.1% larger.

Zhipu AI
GLM-4.6
357.0Bparameters
Moonshot AI
Kimi K2 0905
1.0Tparameters
357.0B
GLM-4.6
1000.0B
Kimi K2 0905

Context Window

Maximum input and output token capacity

Kimi K2 0905 accepts 262,144 input tokens compared to GLM-4.6's 131,072 tokens. Kimi K2 0905 can generate longer responses up to 262,144 tokens, while GLM-4.6 is limited to 131,072 tokens.

Zhipu AI
GLM-4.6
Input131,072 tokens
Output131,072 tokens
Moonshot AI
Kimi K2 0905
Input262,144 tokens
Output262,144 tokens
Wed Jun 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-4.6 supports multimodal inputs, whereas Kimi K2 0905 does not.

GLM-4.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-4.6

Text
Images
Audio
Video

Kimi K2 0905

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.6 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-4.6

MIT

Open weights

Kimi K2 0905

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-4.6 was released on 2025-09-30, while Kimi K2 0905 was released on 2025-09-05.

GLM-4.6 is 1 month newer than Kimi K2 0905.

GLM-4.6

Sep 30, 2025

8 months ago

3w 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-4.6 is available from Fireworks, DeepInfra. Kimi K2 0905 is available from Novita.

GLM-4.6

fireworks logo
Fireworks
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.60/1MOutput Price:Output: $2.00/1M

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
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (81.0% vs 75.8%)
Moonshot AI
Larger context window (262,144 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-4.6
Moonshot AI
Kimi K2 0905

FAQ

Common questions about GLM-4.6 vs Kimi K2 0905.

Which is better, GLM-4.6 or Kimi K2 0905?

GLM-4.6 significantly outperforms across most benchmarks. GLM-4.6 is made by Zhipu AI and Kimi K2 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-4.6 compare to Kimi K2 0905 in benchmarks?

GLM-4.6 scores AIME 2025: 93.9%, LiveCodeBench v6: 82.8%, GPQA: 81.0%, SWE-Bench Verified: 68.0%, BrowseComp: 45.1%. Kimi K2 0905 scores HumanEval: 94.5%, MMLU: 90.2%, MATH: 89.1%, MMLU-Pro: 82.5%, GPQA: 75.8%.

Is GLM-4.6 cheaper than Kimi K2 0905?

GLM-4.6 is 1.1x cheaper for input tokens. GLM-4.6 costs $0.55/M input and $2.00/M output via fireworks. Kimi K2 0905 costs $0.60/M input and $2.50/M output via novita.

What are the context window sizes for GLM-4.6 and Kimi K2 0905?

GLM-4.6 supports 131K 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-4.6 and Kimi K2 0905?

Key differences include context window (131K vs 262K), input pricing ($0.55 vs $0.60/M), multimodal support (yes vs no), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.6 and Kimi K2 0905?

GLM-4.6 is developed by Zhipu AI and Kimi K2 0905 is developed by Moonshot AI.

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