Model Comparison

Claude 3.7 Sonnet vs GLM-4.5

GLM-4.5 has a slight edge in benchmark performance. GLM-4.5 is 8.6x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Claude 3.7 Sonnet outperforms in 3 benchmarks (GPQA, SWE-Bench Verified, TAU-bench Retail), while GLM-4.5 is better at 4 benchmarks (AIME 2024, MATH-500, TAU-bench Airline, Terminal-Bench).

GLM-4.5 has a slight edge in benchmark performance.

Sat Apr 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-4.5 costs less

For input processing, Claude 3.7 Sonnet ($3.00/1M tokens) is 7.5x more expensive than GLM-4.5 ($0.40/1M tokens).

For output processing, Claude 3.7 Sonnet ($15.00/1M tokens) is 9.4x more expensive than GLM-4.5 ($1.60/1M tokens).

In conclusion, Claude 3.7 Sonnet is more expensive than GLM-4.5.*

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

Lowest available price from all providers
Sat Apr 11 2026 • llm-stats.com
Anthropic
Claude 3.7 Sonnet
Input tokens$3.00
Output tokens$15.00
Best providerAnthropic
Zhipu AI
GLM-4.5
Input tokens$0.40
Output tokens$1.60
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Claude 3.7 Sonnet accepts 200,000 input tokens compared to GLM-4.5's 131,072 tokens. GLM-4.5 can generate longer responses up to 131,072 tokens, while Claude 3.7 Sonnet is limited to 128,000 tokens.

Anthropic
Claude 3.7 Sonnet
Input200,000 tokens
Output128,000 tokens
Zhipu AI
GLM-4.5
Input131,072 tokens
Output131,072 tokens
Sat Apr 11 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude 3.7 Sonnet supports multimodal inputs, whereas GLM-4.5 does not.

Claude 3.7 Sonnet can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude 3.7 Sonnet

Text
Images
Audio
Video

GLM-4.5

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3.7 Sonnet is licensed under a proprietary license, while GLM-4.5 uses MIT.

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

Claude 3.7 Sonnet

Proprietary

Closed source

GLM-4.5

MIT

Open weights

Release Timeline

When each model was launched

Claude 3.7 Sonnet was released on 2025-02-24, while GLM-4.5 was released on 2025-07-28.

GLM-4.5 is 5 months newer than Claude 3.7 Sonnet.

Claude 3.7 Sonnet

Feb 24, 2025

1.1 years ago

GLM-4.5

Jul 28, 2025

8 months ago

5mo 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

Claude 3.7 Sonnet is available from Anthropic, Bedrock, Google. GLM-4.5 is available from DeepInfra, Fireworks, Novita.

Claude 3.7 Sonnet

anthropic logo
Anthropic
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M
bedrock logo
AWS Bedrock
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M
google logo
Google
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

GLM-4.5

deepinfra logo
Deepinfra
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M
fireworks logo
Fireworks
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Anthropic
Larger context window (200,000 tokens)
Supports multimodal inputs
Higher GPQA score (84.8% vs 79.1%)
Higher SWE-Bench Verified score (70.3% vs 64.2%)
Higher TAU-bench Retail score (81.2% vs 79.7%)
Zhipu AI
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher AIME 2024 score (91.0% vs 80.0%)
Higher MATH-500 score (98.2% vs 96.2%)
Higher TAU-bench Airline score (60.4% vs 58.4%)
Higher Terminal-Bench score (37.5% vs 35.2%)
AnthropicClaude 3.7 Sonnet
Zhipu AIGLM-4.5
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3.7 Sonnet
Zhipu AI
GLM-4.5

FAQ

Common questions about Claude 3.7 Sonnet vs GLM-4.5

GLM-4.5 has a slight edge in benchmark performance. Claude 3.7 Sonnet is made by Anthropic and GLM-4.5 is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Claude 3.7 Sonnet scores MATH-500: 96.2%, IFEval: 93.2%, MMMLU: 86.1%, GPQA: 84.8%, TAU-bench Retail: 81.2%. GLM-4.5 scores MATH-500: 98.2%, AIME 2024: 91.0%, MMLU-Pro: 84.6%, TAU-bench Retail: 79.7%, GPQA: 79.1%.
GLM-4.5 is 7.5x cheaper for input tokens. Claude 3.7 Sonnet costs $3.00/M input and $15.00/M output via anthropic. GLM-4.5 costs $0.40/M input and $1.60/M output via deepinfra.
Claude 3.7 Sonnet supports 200K tokens and GLM-4.5 supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 131K), input pricing ($3.00 vs $0.40/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Claude 3.7 Sonnet is developed by Anthropic and GLM-4.5 is developed by Zhipu AI.