Model Comparison

GLM-4.6 vs GPT-4o

GLM-4.6 significantly outperforms across most benchmarks. GLM-4.6 is 4.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GLM-4.6 outperforms in 3 benchmarks (GPQA, Humanity's Last Exam, SWE-Bench Verified), while GPT-4o is better at 0 benchmarks.

GLM-4.6 significantly outperforms across most benchmarks.

Mon May 18 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 4.5x cheaper than GPT-4o ($2.50/1M tokens).

For output processing, GLM-4.6 ($2.00/1M tokens) is 5.0x cheaper than GPT-4o ($10.00/1M tokens).

In conclusion, GPT-4o is more expensive than GLM-4.6.*

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

Lowest available price from all providers
Mon May 18 2026 • llm-stats.com
Zhipu AI
GLM-4.6
Input tokens$0.55
Output tokens$2.00
Best providerFireworks
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GLM-4.6 accepts 131,072 input tokens compared to GPT-4o's 128,000 tokens. GLM-4.6 can generate longer responses up to 131,072 tokens, while GPT-4o is limited to 16,384 tokens.

Zhipu AI
GLM-4.6
Input131,072 tokens
Output131,072 tokens
OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
Mon May 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GLM-4.6 and GPT-4o support multimodal inputs.

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

GLM-4.6

Text
Images
Audio
Video

GPT-4o

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.6 is licensed under MIT, while GPT-4o 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

GPT-4o

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-4.6 was released on 2025-09-30, while GPT-4o was released on 2024-08-06.

GLM-4.6 is 14 months newer than GPT-4o.

GLM-4.6

Sep 30, 2025

7 months ago

1.2yr newer
GPT-4o

Aug 6, 2024

1.8 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. GPT-4o is available from Azure, OpenAI.

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

GPT-4o

azure logo
Azure
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Zhipu AI
Larger context window (131,072 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (81.0% vs 70.1%)
Higher Humanity's Last Exam score (17.2% vs 5.3%)
Higher SWE-Bench Verified score (68.0% vs 33.2%)
OpenAI

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-4.6
OpenAI
GPT-4o

FAQ

Common questions about GLM-4.6 vs GPT-4o.

Which is better, GLM-4.6 or GPT-4o?

GLM-4.6 significantly outperforms across most benchmarks. GLM-4.6 is made by Zhipu AI and GPT-4o is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-4.6 compare to GPT-4o 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%. GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%.

Is GLM-4.6 cheaper than GPT-4o?

GLM-4.6 is 4.5x cheaper for input tokens. GLM-4.6 costs $0.55/M input and $2.00/M output via fireworks. GPT-4o costs $2.50/M input and $10.00/M output via azure.

What are the context window sizes for GLM-4.6 and GPT-4o?

GLM-4.6 supports 131K tokens and GPT-4o supports 128K 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 GPT-4o?

Key differences include context window (131K vs 128K), input pricing ($0.55 vs $2.50/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.6 and GPT-4o?

GLM-4.6 is developed by Zhipu AI and GPT-4o is developed by OpenAI.