Model Comparison

Kimi K2.5 vs GLM-5.1

GLM-5.1 shows notably better performance in the majority of benchmarks. Kimi K2.5 is 2.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

Kimi K2.5 outperforms in 2 benchmarks (GPQA, HMMT 2025), while GLM-5.1 is better at 6 benchmarks (BrowseComp, CyberGym, Humanity's Last Exam, IMO-AnswerBench, SWE-Bench Pro, Terminal-Bench 2.0).

GLM-5.1 shows notably better performance in the majority of benchmarks.

Thu Apr 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Kimi K2.5 costs less

For input processing, Kimi K2.5 ($0.60/1M tokens) is 2.3x cheaper than GLM-5.1 ($1.40/1M tokens).

For output processing, Kimi K2.5 ($2.50/1M tokens) is 1.8x cheaper than GLM-5.1 ($4.40/1M tokens).

In conclusion, GLM-5.1 is more expensive than Kimi K2.5.*

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

Lowest available price from all providers
Thu Apr 09 2026 • llm-stats.com
Moonshot AI
Kimi K2.5
Input tokens$0.60
Output tokens$2.50
Best providerFireworks
Zhipu AI
GLM-5.1
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

246.0B diff

Kimi K2.5 has 246.0B more parameters than GLM-5.1, making it 32.6% larger.

Moonshot AI
Kimi K2.5
1000.0Bparameters
Zhipu AI
GLM-5.1
754.0Bparameters
1000.0B
Kimi K2.5
754.0B
GLM-5.1

Context Window

Maximum input and output token capacity

Kimi K2.5 accepts 262,100 input tokens compared to GLM-5.1's 200,000 tokens. Kimi K2.5 can generate longer responses up to 262,100 tokens, while GLM-5.1 is limited to 128,000 tokens.

Moonshot AI
Kimi K2.5
Input262,100 tokens
Output262,100 tokens
Zhipu AI
GLM-5.1
Input200,000 tokens
Output128,000 tokens
Thu Apr 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi K2.5 supports multimodal inputs, whereas GLM-5.1 does not.

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

Kimi K2.5

Text
Images
Audio
Video

GLM-5.1

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.

Kimi K2.5

MIT

Open weights

GLM-5.1

MIT

Open weights

Release Timeline

When each model was launched

Kimi K2.5 was released on 2026-01-27, while GLM-5.1 was released on 2026-04-07.

GLM-5.1 is 2 months newer than Kimi K2.5.

Kimi K2.5

Jan 27, 2026

2 months ago

GLM-5.1

Apr 7, 2026

2 days ago

2mo newer

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

Kimi K2.5 is available from Fireworks. GLM-5.1 is available from ZAI.

Kimi K2.5

fireworks logo
Fireworks
Input Price:Input: $0.60/1MOutput Price:Output: $2.50/1M

GLM-5.1

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Moonshot AI
Larger context window (262,100 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (87.6% vs 86.2%)
Higher HMMT 2025 score (95.4% vs 94.0%)
Zhipu AI
Higher BrowseComp score (79.3% vs 74.9%)
Higher CyberGym score (68.7% vs 41.3%)
Higher Humanity's Last Exam score (52.3% vs 50.2%)
Higher IMO-AnswerBench score (83.8% vs 81.8%)
Higher SWE-Bench Pro score (58.4% vs 50.7%)
Higher Terminal-Bench 2.0 score (69.0% vs 50.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2.5
Zhipu AI
GLM-5.1

FAQ

Common questions about Kimi K2.5 vs GLM-5.1

GLM-5.1 shows notably better performance in the majority of benchmarks. Kimi K2.5 is made by Moonshot AI and GLM-5.1 is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Kimi K2.5 scores AIME 2025: 96.1%, HMMT 2025: 95.4%, InfoVQAtest: 92.6%, OCRBench: 92.3%, MathVista-Mini: 90.1%. GLM-5.1 scores Vending-Bench 2: 100.0%, AIME 2026: 95.3%, HMMT 2025: 94.0%, GPQA: 86.2%, IMO-AnswerBench: 83.8%.
Kimi K2.5 is 2.3x cheaper for input tokens. Kimi K2.5 costs $0.60/M input and $2.50/M output via fireworks. GLM-5.1 costs $1.40/M input and $4.40/M output via z.
Kimi K2.5 supports 262K tokens and GLM-5.1 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (262K vs 200K), input pricing ($0.60 vs $1.40/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Kimi K2.5 is developed by Moonshot AI and GLM-5.1 is developed by Zhipu AI.