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GLM-4.7 vs GPT-5 High

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

Zhipu AI · OpenAI · Updated for 2026

Which is better?

GLM-4.7 outperforms in 1 benchmarks (AIME 2025), while GPT-5 High is better at 1 benchmark (GPQA). 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 High also accepts a larger context window (400,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GLM-4.7

  • 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 High

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

At a glance

The differences that matter most.

GLM-4.7
Zhipu AI
GPT-5 High
OpenAI
Benchmark wins
1 of 2
1 of 2
Input price
$0.60 / M
$1.25 / M
Output price
$2.20 / M
$10.00 / M
Context window
202,800
400,000
Released
Dec 2025
Aug 2025
License
MIT
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GLM-4.7 outperforms in 1 benchmarks (AIME 2025), while GPT-5 High is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

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 High ($1.25/1M tokens).

For output processing, GLM-4.7 ($2.20/1M tokens) is 4.5x cheaper than GPT-5 High ($10.00/1M tokens).

In conclusion, GPT-5 High is more expensive than GLM-4.7.*

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

Lowest available price from all providers
Tue Aug 25 2026 • llm-stats.com
Zhipu AI
GLM-4.7
Input tokens$0.60
Output tokens$2.20
Best providerFireworks
OpenAI
GPT-5 High
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 High 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 High is limited to 128,000 tokens.

Zhipu AI
GLM-4.7
Input202,800 tokens
Output131,072 tokens
OpenAI
GPT-5 High
Input400,000 tokens
Output128,000 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GLM-4.7 and GPT-5 High 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 High

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.7 is licensed under MIT, while GPT-5 High 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 High

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-4.7 was released on 2025-12-22, while GPT-5 High was released on 2025-08-07.

GLM-4.7 is 5 months newer than GPT-5 High.

GLM-4.7

Dec 22, 2025

8 months ago

4mo newer
GPT-5 High

Aug 7, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

GPT-5 High has a documented knowledge cutoff of 2024-09-30, while GLM-4.7's cutoff date is not specified.

We can confirm GPT-5 High'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 High

Sep 2024

Provider Availability

GLM-4.7 is available from Fireworks, Novita. GPT-5 High 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 High

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→

Judge for yourself.

Run your own prompts against GLM-4.7 and GPT-5 High side-by-side, then vote on the output you prefer.

GLM-4.7
✓ Preferred
GPT-5 High
Open in Playground

FAQ

Common questions about GLM-4.7 vs GPT-5 High.

Which is better, GLM-4.7 or GPT-5 High?

Both models are evenly matched across the benchmarks. GLM-4.7 is made by Zhipu AI and GPT-5 High 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 High 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 High scores AIME 2025: 94.6%, GPQA: 87.3%.

Is GLM-4.7 cheaper than GPT-5 High?

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 High 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 High?

GLM-4.7 supports 203K tokens and GPT-5 High 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 High?

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 High?

GLM-4.7 is developed by Zhipu AI and GPT-5 High is developed by OpenAI.

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