Model Comparison

GLM-4.7 vs GPT-5.1 CodexWhich is better in 2026?

Both models are evenly matched across the benchmarks. GLM-4.7 is 3.4x cheaper per token.

Verdict: GLM-4.7 vs GPT-5.1 Codex — which is better?

GLM-4.7 (by Zhipu AI) and GPT-5.1 Codex (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.

GLM-4.7 outperforms in 1 benchmarks (SWE-Bench Verified), while GPT-5.1 Codex is better at 1 benchmark (Terminal-Bench 2.0). Both models are evenly matched across the benchmarks.

On price, GLM-4.7 is roughly 3.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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

Choose GLM-4.7 if…

  • cost matters — it's about 3.4x cheaper per token
  • you want the most recent training data — it shipped Dec 2025
  • you need open weights you can self-host or fine-tune

Choose GPT-5.1 Codex if…

  • you process long inputs — it offers a 400,000 token context window

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GLM-4.7 outperforms in 1 benchmarks (SWE-Bench Verified), while GPT-5.1 Codex is better at 1 benchmark (Terminal-Bench 2.0).

Both models are evenly matched across the benchmarks.

Sat Jul 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-4.7 costs less

For input processing, GLM-4.7 ($0.60/1M tokens) is 2.1x cheaper than GPT-5.1 Codex ($1.25/1M tokens).

For output processing, GLM-4.7 ($2.20/1M tokens) is 4.5x cheaper than GPT-5.1 Codex ($10.00/1M tokens).

In conclusion, GPT-5.1 Codex is more expensive than GLM-4.7.*

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

Lowest available price from all providers
Sat Jul 25 2026 • llm-stats.com
Zhipu AI
GLM-4.7
Input tokens$0.60
Output tokens$2.20
Best providerFireworks
OpenAI
GPT-5.1 Codex
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.1 Codex accepts 400,000 input tokens compared to GLM-4.7's 202,800 tokens. GLM-4.7 can generate longer responses up to 131,072 tokens, while GPT-5.1 Codex is limited to 128,000 tokens.

Zhipu AI
GLM-4.7
Input202,800 tokens
Output131,072 tokens
OpenAI
GPT-5.1 Codex
Input400,000 tokens
Output128,000 tokens
Sat Jul 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GLM-4.7 and GPT-5.1 Codex support multimodal inputs.

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

GLM-4.7

Text
Images
Audio
Video

GPT-5.1 Codex

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.7 is licensed under MIT, while GPT-5.1 Codex uses a proprietary license.

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

GLM-4.7

MIT

Open weights

GPT-5.1 Codex

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-4.7 was released on 2025-12-22, while GPT-5.1 Codex was released on 2025-11-19.

GLM-4.7 is 1 month newer than GPT-5.1 Codex.

GLM-4.7

Dec 22, 2025

7 months ago

1mo newer
GPT-5.1 Codex

Nov 19, 2025

8 months ago

Knowledge Cutoff

When training data ends

GPT-5.1 Codex has a documented knowledge cutoff of 2024-09-30, while GLM-4.7's cutoff date is not specified.

We can confirm GPT-5.1 Codex's training data extends to 2024-09-30, but cannot make a direct comparison without GLM-4.7's cutoff date.

GLM-4.7

—

GPT-5.1 Codex

Sep 2024

Provider Availability

GLM-4.7 is available from Fireworks, Novita. GPT-5.1 Codex is available from OpenAI.

GLM-4.7

fireworks logo
Fireworks
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M
novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M

GPT-5.1 Codex

openai logo
OpenAI
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M
* 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 SWE-Bench Verified score (73.8% vs 73.7%)
OpenAI
Larger context window (400,000 tokens)
Higher Terminal-Bench 2.0 score (52.8% vs 41.0%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GLM-4.7 and GPT-5.1 Codex side-by-side, then vote on the output you prefer.

GLM-4.7
✓ Preferred
GPT-5.1 Codex
Open in Playground
AI Model Comparison Table
Feature
Zhipu AI
GLM-4.7
OpenAI
GPT-5.1 Codex

FAQ

Common questions about GLM-4.7 vs GPT-5.1 Codex.

Which is better, GLM-4.7 or GPT-5.1 Codex?

Both models are evenly matched across the benchmarks. GLM-4.7 is made by Zhipu AI and GPT-5.1 Codex is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-4.7 compare to GPT-5.1 Codex in benchmarks?

GLM-4.7 scores AIME 2025: 95.7%, Tau-bench: 87.4%, GPQA: 85.7%, LiveCodeBench v6: 84.9%, MMLU-Pro: 84.3%. GPT-5.1 Codex scores SWE-Bench Verified: 73.7%, SWE-Lancer: 66.3%, Terminal-Bench 2.0: 52.8%.

Is GLM-4.7 cheaper than GPT-5.1 Codex?

GLM-4.7 is 2.1x cheaper for input tokens. GLM-4.7 costs $0.60/M input and $2.20/M output via fireworks. GPT-5.1 Codex costs $1.25/M input and $10.00/M output via openai.

What are the context window sizes for GLM-4.7 and GPT-5.1 Codex?

GLM-4.7 supports 203K tokens and GPT-5.1 Codex 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-4.7 and GPT-5.1 Codex?

Key differences include context window (203K vs 400K), input pricing ($0.60 vs $1.25/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.7 and GPT-5.1 Codex?

GLM-4.7 is developed by Zhipu AI and GPT-5.1 Codex is developed by OpenAI.

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