Model Comparison
GLM-4.7-Flash vs GPT-5.6 SolWhich is better in 2026?
GPT-5.6 Sol significantly outperforms across most benchmarks. GLM-4.7-Flash is 73.8x cheaper per token.
Verdict: GLM-4.7-Flash vs GPT-5.6 Sol — which is better?
GLM-4.7-Flash (by Zhipu AI) and GPT-5.6 Sol (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-Flash outperforms in 0 benchmarks, while GPT-5.6 Sol is better at 2 benchmarks (BrowseComp, GPQA). GPT-5.6 Sol significantly outperforms across most benchmarks.
On price, GLM-4.7-Flash is roughly 73.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Sol also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GLM-4.7-Flash if…
- cost matters — it's about 73.8x cheaper per token
- you need open weights you can self-host or fine-tune
Choose GPT-5.6 Sol if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Jul 2026
Performance Benchmarks
Comparative analysis across standard metrics
GLM-4.7-Flash outperforms in 0 benchmarks, while GPT-5.6 Sol is better at 2 benchmarks (BrowseComp, GPQA).
GPT-5.6 Sol significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-4.7-Flash ($0.07/1M tokens) is 71.4x cheaper than GPT-5.6 Sol ($5.00/1M tokens).
For output processing, GLM-4.7-Flash ($0.40/1M tokens) is 75.0x cheaper than GPT-5.6 Sol ($30.00/1M tokens).
In conclusion, GPT-5.6 Sol is more expensive than GLM-4.7-Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.6 Sol accepts 1,050,000 input tokens compared to GLM-4.7-Flash's 128,000 tokens. GPT-5.6 Sol can generate longer responses up to 128,000 tokens, while GLM-4.7-Flash is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
GPT-5.6 Sol supports multimodal inputs, whereas GLM-4.7-Flash does not.
GPT-5.6 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-4.7-Flash
GPT-5.6 Sol
License
Usage and distribution terms
GLM-4.7-Flash is licensed under MIT, while GPT-5.6 Sol uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
GLM-4.7-Flash was released on 2026-01-19, while GPT-5.6 Sol was released on 2026-07-09.
GPT-5.6 Sol is 6 months newer than GLM-4.7-Flash.
Jan 19, 2026
6 months ago
Jul 9, 2026
1 weeks ago
5mo newerKnowledge Cutoff
When training data ends
GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while GLM-4.7-Flash's cutoff date is not specified.
We can confirm GPT-5.6 Sol's training data extends to 2026-02-16, but cannot make a direct comparison without GLM-4.7-Flash's cutoff date.
—
Feb 2026
Provider Availability
GLM-4.7-Flash is available from ZAI. GPT-5.6 Sol is available from OpenAI.
GLM-4.7-Flash
GPT-5.6 Sol
Outputs Comparison
Key Takeaways
GLM-4.7-Flash
View detailsZhipu AI
GPT-5.6 Sol
View detailsOpenAI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GLM-4.7-Flash and GPT-5.6 Sol side-by-side, then vote on the output you prefer.
| Feature |
|---|
FAQ
Common questions about GLM-4.7-Flash vs GPT-5.6 Sol.