Model comparison
GPT-6 Astra vs GLM-5.3
- Input
- $10.00
- Output
- $50.00
- Context
- not published
- Released
- 2026-09-03
- Input
- $1.40
- Output
- $4.40
- Context
- 1M
- Released
- 2026-08-14
GPT-6 Astra scores higher on 2 of the 2 benchmarks both models report; GLM-5.3 is cheaper on input tokens ($1.4 vs $10 per 1M, 7.1×); GLM-5.3 ships open weights while GPT-6 Astra is API-only.
Specs and pricing side by side
| Spec | GPT-6 Astra | GLM-5.3 |
|---|---|---|
| Maker | OpenAI | Z.ai (Zhipu / GLM) |
| Released | 2026-09-03 | 2026-08-14 |
| Context window | not published | 1M |
| Max output | not published | 128K |
| Input price | $10.00 | $1.40 |
| Output price | $50.00 | $4.40 |
| Parameters | not published | Same base model as GLM-5.2 (744B total · 40B active) |
| License | Proprietary | GLM-5.3 License — a permissive, MIT-style grant to use, modify, distribute and fine-tune the weights, with one condition: a licensee running a Model-as-a-Service business whose aggregate revenue exceeds US$10 billion over any consecutive 12 months must pass a Z.ai security review before any commercial use |
| Weights | API only | Open weights |
| Modalities | Text, Vision | Text |
Not published by either maker: knowledge cutoff.
Benchmarks both models report
| Benchmark | GPT-6 Astra | GLM-5.3 |
|---|---|---|
| DeepSWE v1.1 | 74.1% | 66.9% |
| ExploitBench | 100% | 54.4% |
Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.
Which one should you pick?
Pick GPT-6 Astra if…
- You care about DeepSWE v1.1, ExploitBench (it scores higher on 2 shared benchmarks).
- You need Vision input, which GLM-5.3 lacks.
- Your use case is: reach for it when a job means driving a browser or desktop app to completion rather than producing text about it.
Pick GLM-5.3 if…
- Cost matters: input tokens cost 7.1× less ($1.4 vs $10 per 1M).
- You want to self-host or fine-tune (open weights, GLM-5.3 License — a permissive, MIT-style grant to use, modify, distribute and fine-tune the weights, with one condition: a licensee running a Model-as-a-Service business whose aggregate revenue exceeds US$10 billion over any consecutive 12 months must pass a Z.ai security review before any commercial use).
- Your use case is: long-horizon coding agents that must stay productive across hundreds of files and interdependent systems.
FAQ
Which is better, GPT-6 Astra or GLM-5.3?
GPT-6 Astra scores higher on 2 of the 2 benchmarks both models report; GLM-5.3 is cheaper on input tokens ($1.4 vs $10 per 1M, 7.1×); GLM-5.3 ships open weights while GPT-6 Astra is API-only. The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.
How much cheaper is GLM-5.3?
GPT-6 Astra: $10.00 input, $50.00 output. GLM-5.3: $1.40 input, $4.40 output (list API prices as published by each maker).
Is GPT-6 Astra newer than GLM-5.3?
GPT-6 Astra was released 2026-09-03; GLM-5.3 was released 2026-08-14.