Model Comparison

GLM-4.6 vs Claude 3.7 Sonnet

Both models are evenly matched across the benchmarks. GLM-4.6 is 6.6x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GLM-4.6 outperforms in 2 benchmarks (AIME 2025, Terminal-Bench), while Claude 3.7 Sonnet is better at 2 benchmarks (GPQA, SWE-Bench Verified).

Both models are evenly matched across the benchmarks.

Sun May 31 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 5.5x cheaper than Claude 3.7 Sonnet ($3.00/1M tokens).

For output processing, GLM-4.6 ($2.00/1M tokens) is 7.5x cheaper than Claude 3.7 Sonnet ($15.00/1M tokens).

In conclusion, Claude 3.7 Sonnet is more expensive than GLM-4.6.*

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

Lowest available price from all providers
Sun May 31 2026 • llm-stats.com
Zhipu AI
GLM-4.6
Input tokens$0.55
Output tokens$2.00
Best providerFireworks
Anthropic
Claude 3.7 Sonnet
Input tokens$3.00
Output tokens$15.00
Best providerAnthropic
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-4.6's 131,072 tokens. GLM-4.6 can generate longer responses up to 131,072 tokens, while Claude 3.7 Sonnet is limited to 128,000 tokens.

Zhipu AI
GLM-4.6
Input131,072 tokens
Output131,072 tokens
Anthropic
Claude 3.7 Sonnet
Input200,000 tokens
Output128,000 tokens
Sun May 31 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GLM-4.6 and Claude 3.7 Sonnet support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GLM-4.6

Text
Images
Audio
Video

Claude 3.7 Sonnet

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.6 is licensed under MIT, while Claude 3.7 Sonnet 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

Claude 3.7 Sonnet

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-4.6 was released on 2025-09-30, while Claude 3.7 Sonnet was released on 2025-02-24.

GLM-4.6 is 7 months newer than Claude 3.7 Sonnet.

GLM-4.6

Sep 30, 2025

8 months ago

7mo newer
Claude 3.7 Sonnet

Feb 24, 2025

1.3 years 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. Claude 3.7 Sonnet is available from Anthropic, Bedrock, Google.

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

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
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher AIME 2025 score (93.9% vs 54.8%)
Higher Terminal-Bench score (40.5% vs 35.2%)
Anthropic
Larger context window (200,000 tokens)
Higher GPQA score (84.8% vs 81.0%)
Higher SWE-Bench Verified score (70.3% vs 68.0%)
Zhipu AIGLM-4.6
AnthropicClaude 3.7 Sonnet
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-4.6
Anthropic
Claude 3.7 Sonnet

FAQ

Common questions about GLM-4.6 vs Claude 3.7 Sonnet.

Which is better, GLM-4.6 or Claude 3.7 Sonnet?

Both models are evenly matched across the benchmarks. GLM-4.6 is made by Zhipu AI and Claude 3.7 Sonnet is made by Anthropic. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-4.6 compare to Claude 3.7 Sonnet 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%. Claude 3.7 Sonnet scores MATH-500: 96.2%, IFEval: 93.2%, MMMLU: 86.1%, GPQA: 84.8%, TAU-bench Retail: 81.2%.

Is GLM-4.6 cheaper than Claude 3.7 Sonnet?

GLM-4.6 is 5.5x cheaper for input tokens. GLM-4.6 costs $0.55/M input and $2.00/M output via fireworks. Claude 3.7 Sonnet costs $3.00/M input and $15.00/M output via anthropic.

What are the context window sizes for GLM-4.6 and Claude 3.7 Sonnet?

GLM-4.6 supports 131K tokens and Claude 3.7 Sonnet supports 200K 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 Claude 3.7 Sonnet?

Key differences include context window (131K vs 200K), input pricing ($0.55 vs $3.00/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.6 and Claude 3.7 Sonnet?

GLM-4.6 is developed by Zhipu AI and Claude 3.7 Sonnet is developed by Anthropic.