Model Comparison

GLM-5 vs Kimi K2.5

GLM-5 significantly outperforms across most benchmarks. Kimi K2.5 is 1.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GLM-5 outperforms in 3 benchmarks (BrowseComp, SWE-Bench Verified, Terminal-Bench 2.0), while Kimi K2.5 is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Fri Apr 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Kimi K2.5 costs less

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

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

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

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

Lowest available price from all providers
Fri Apr 10 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
Moonshot AI
Kimi K2.5
Input tokens$0.60
Output tokens$2.50
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

256.0B diff

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

Zhipu AI
GLM-5
744.0Bparameters
Moonshot AI
Kimi K2.5
1000.0Bparameters
744.0B
GLM-5
1000.0B
Kimi K2.5

Context Window

Maximum input and output token capacity

Kimi K2.5 accepts 262,100 input tokens compared to GLM-5's 200,000 tokens. Kimi K2.5 can generate longer responses up to 262,100 tokens, while GLM-5 is limited to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Moonshot AI
Kimi K2.5
Input262,100 tokens
Output262,100 tokens
Fri Apr 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi K2.5 supports multimodal inputs, whereas GLM-5 does not.

Kimi K2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

Kimi K2.5

Text
Images
Audio
Video

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 K2.5

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Kimi K2.5 was released on 2026-01-27.

GLM-5 is 1 month newer than Kimi K2.5.

GLM-5

Feb 11, 2026

1 months ago

2w newer
Kimi K2.5

Jan 27, 2026

2 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 ZAI. Kimi K2.5 is available from Fireworks.

GLM-5

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

Kimi K2.5

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

Outputs Comparison

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Key Takeaways

Zhipu AI
Higher BrowseComp score (75.9% vs 74.9%)
Higher SWE-Bench Verified score (77.8% vs 76.8%)
Higher Terminal-Bench 2.0 score (56.2% vs 50.8%)
Moonshot AI
Larger context window (262,100 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

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

FAQ

Common questions about GLM-5 vs Kimi K2.5

GLM-5 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and Kimi K2.5 is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
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 K2.5 scores AIME 2025: 96.1%, HMMT 2025: 95.4%, InfoVQAtest: 92.6%, OCRBench: 92.3%, MathVista-Mini: 90.1%.
Kimi K2.5 is 1.7x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via z. Kimi K2.5 costs $0.60/M input and $2.50/M output via fireworks.
GLM-5 supports 200K tokens and Kimi K2.5 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 262K), input pricing ($1.00 vs $0.60/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.
GLM-5 is developed by Zhipu AI and Kimi K2.5 is developed by Moonshot AI.