Model Comparison

GLM-5 vs GPT-5.1 Codex MiniWhich is better in 2026?

Comparing GLM-5 and GPT-5.1 Codex Mini across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs GPT-5.1 Codex Mini — which is better?

GLM-5 (by Zhipu AI) and GPT-5.1 Codex Mini (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, GPT-5.1 Codex Mini is roughly 2.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-5.1 Codex Mini also accepts a larger context window (400,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GLM-5 if…

  • you want the most recent training data — it shipped Feb 2026
  • you need open weights you can self-host or fine-tune

Choose GPT-5.1 Codex Mini if…

  • cost matters — it's about 2.3x cheaper per token
  • you process long inputs — it offers a 400,000 token context window

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and GPT-5.1 Codex Minidon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-5.1 Codex Mini costs less

For input processing, GLM-5 ($1.00/1M tokens) is 4.0x more expensive than GPT-5.1 Codex Mini ($0.25/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 1.6x more expensive than GPT-5.1 Codex Mini ($2.00/1M tokens).

In conclusion, GLM-5 is more expensive than GPT-5.1 Codex Mini.*

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

Lowest available price from all providers
Fri Jun 26 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
OpenAI
GPT-5.1 Codex Mini
Input tokens$0.25
Output tokens$2.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.1 Codex Mini 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-5.1 Codex Mini
Input400,000 tokens
Output128,000 tokens
Fri Jun 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.1 Codex Mini supports multimodal inputs, whereas GLM-5 does not.

GPT-5.1 Codex Mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

GPT-5.1 Codex Mini

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while GPT-5.1 Codex Mini 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-5.1 Codex Mini

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while GPT-5.1 Codex Mini was released on 2025-11-12.

GLM-5 is 3 months newer than GPT-5.1 Codex Mini.

GLM-5

Feb 11, 2026

4 months ago

3mo newer
GPT-5.1 Codex Mini

Nov 12, 2025

7 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 FriendliAI, ZAI. GPT-5.1 Codex Mini is available from OpenAI.

GLM-5

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

GPT-5.1 Codex Mini

openai logo
OpenAI
Input Price:Input: $0.25/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Has open weights
OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GLM-5 and GPT-5.1 Codex Mini side-by-side, then vote on the output you prefer.

GLM-5
✓ Preferred
GPT-5.1 Codex Mini
Open in Playground
AI Model Comparison Table
Feature
Zhipu AI
GLM-5
OpenAI
GPT-5.1 Codex Mini

FAQ

Common questions about GLM-5 vs GPT-5.1 Codex Mini.

Which is better, GLM-5 or GPT-5.1 Codex Mini?

GLM-5 (Zhipu AI) and GPT-5.1 Codex Mini (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5 compare to GPT-5.1 Codex Mini in benchmarks?

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-5.1 Codex Mini scores AIME 2025: 42.1%.

Is GLM-5 cheaper than GPT-5.1 Codex Mini?

GPT-5.1 Codex Mini is 4.0x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. GPT-5.1 Codex Mini costs $0.25/M input and $2.00/M output via openai.

What are the context window sizes for GLM-5 and GPT-5.1 Codex Mini?

GLM-5 supports 200K tokens and GPT-5.1 Codex Mini supports 400K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5 and GPT-5.1 Codex Mini?

Key differences include context window (200K vs 400K), input pricing ($1.00 vs $0.25/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and GPT-5.1 Codex Mini?

GLM-5 is developed by Zhipu AI and GPT-5.1 Codex Mini is developed by OpenAI.

Related comparisons