Model Comparison

GLM-5 vs GPT-5.2 Codex

GPT-5.2 Codex significantly outperforms across most benchmarks. GLM-5 is 3.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-5 outperforms in 0 benchmarks, while GPT-5.2 Codex is better at 1 benchmark (Terminal-Bench 2.0).

GPT-5.2 Codex significantly outperforms across most benchmarks.

Tue Apr 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-5 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 1.8x cheaper than GPT-5.2 Codex ($1.75/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 4.4x cheaper than GPT-5.2 Codex ($14.00/1M tokens).

In conclusion, GPT-5.2 Codex is more expensive than GLM-5.*

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

Lowest available price from all providers
Tue Apr 07 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
OpenAI
GPT-5.2 Codex
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.2 Codex accepts 400,000 input tokens compared to GLM-5's 200,000 tokens. Both models can generate responses up to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
OpenAI
GPT-5.2 Codex
Input400,000 tokens
Output128,000 tokens
Tue Apr 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.2 Codex supports multimodal inputs, whereas GLM-5 does not.

GPT-5.2 Codex can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

GPT-5.2 Codex

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while GPT-5.2 Codex uses a proprietary license.

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

GLM-5

MIT

Open weights

GPT-5.2 Codex

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while GPT-5.2 Codex was released on 2026-01-14.

GLM-5 is 1 month newer than GPT-5.2 Codex.

GLM-5

Feb 11, 2026

1 months ago

4w newer
GPT-5.2 Codex

Jan 14, 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. GPT-5.2 Codex is available from OpenAI.

GLM-5

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

GPT-5.2 Codex

openai logo
OpenAI
Input Price:Input: $1.75/1MOutput Price:Output: $14.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Zhipu AI
Less expensive input tokens
Less expensive output tokens
Has open weights
OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Higher Terminal-Bench 2.0 score (64.0% vs 56.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
OpenAI
GPT-5.2 Codex

FAQ

Common questions about GLM-5 vs GPT-5.2 Codex

GPT-5.2 Codex significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and GPT-5.2 Codex is made by OpenAI. 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%. GPT-5.2 Codex scores Terminal-Bench 2.0: 64.0%, SWE-Bench Pro: 56.4%.
GLM-5 is 1.8x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via z. GPT-5.2 Codex costs $1.75/M input and $14.00/M output via openai.
GLM-5 supports 200K tokens and GPT-5.2 Codex supports 400K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 400K), input pricing ($1.00 vs $1.75/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
GLM-5 is developed by Zhipu AI and GPT-5.2 Codex is developed by OpenAI.