AI model comparison
GPT-6 Astra vs GLM 5.3 Flash
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
OpenAI
GPT-6 Astra
GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work.
- Input / 1M
- $10
- Output / 1M
- $50
- Context
- 1.05M
Z.ai
GLM 5.3 Flash
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks.
- Input / 1M
- $0.15
- Output / 1M
- $0.50
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GLM 5.3 Flash
81.8x cheaper for a typical chat
Higher intelligence score
GPT-6 Astra
52.7 vs 41.8 on Artificial Analysis
Larger context window
GPT-6 Astra
1.05M vs 1.05M tokens
Newer release
GPT-6 Astra
Released September 4, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
GPT-6 Astra52.7Coding index
GPT-6 Astra76.9Agentic index
GPT-6 Astra51Pricing
GPT-6 Astra vs GLM 5.3 Flash API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-6 Astra | |
|---|---|---|
| Input tokensPer 1M tokens | $10 | $0.15 |
| Output tokensPer 1M tokens | $50 | $0.50 |
| Cached input (read)Per 1M tokens | $1 | $0.03 |
| Cache writePer 1M tokens | $12.50 | Not available |
| Long-context pricingPer 1M tokens, for very long prompts | $20 in / $75 out above 272K | Same rate at any length |
| Web searchPer request | $0.01 | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
GPT-6 Astra$45Coding task
30K in, 4K out
GPT-6 Astra$500$230 cachedLong document summary
150K in, 2K out
GPT-6 Astra$1600$250 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | GPT-6 Astra | |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 128K tokens | 944K tokens |
| Input types | File, Image, Text | Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Max, Extra high, High, Medium, Low | Max, High, Low |
| Default reasoning effort | Medium | Max |
| Release date | September 4, 2026 | August 26, 2026 |
Features
Supported features
API features available for each model.
| Metric | GPT-6 Astra | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Not supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
GPT-6 AstraView full model details- GPT-6 Astra vs Claude Opus 5.5
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- GPT-6 Astra vs GPT-6 Sol
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- GPT-6 Astra vs Hy4 preview
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- GPT-6 Astra vs Gemini 3.1 Pro Preview
- GLM 5.3 Flash vs DeepSeek V4.1 Flash
- GLM 5.3 Flash vs MiMo-V2.6-Flash
- GLM 5.3 Flash vs Hy4 preview
- GLM 5.3 Flash vs GPT-6 Luna
- GLM 5.3 Flash vs DeepSeek V4 Flash 0731
- GLM 5.3 Flash vs Claude Opus 5.5
- GLM 5.3 Flash vs GLM 5.3
- GLM 5.3 Flash vs DeepSeek V4 Flash 0423
- GLM 5.3 Flash vs Step 5 Preview
- GLM 5.3 Flash vs Gemini 3.8 Flash
- GLM 5.3 Flash vs Hy3
- GLM 5.3 Flash vs GPT-5.6 Luna
- GLM 5.3 Flash vs GPT-6.1 Sol
- GLM 5.3 Flash vs Muse Spark 1.3 Contributor
- GLM 5.3 Flash vs Claude Sonnet 5.5
- GLM 5.3 Flash vs Claude Fable 5.1
- GLM 5.3 Flash vs MiMo-V2.6-Pro
- GLM 5.3 Flash vs Claude Opus 5
- GLM 5.3 Flash vs DeepSeek V4 Pro 0813
- GLM 5.3 Flash vs Claude Haiku 5.5
- GLM 5.3 Flash vs Ling 3.1 Flash
- GLM 5.3 Flash vs GPT-6 Luna Pro
- GLM 5.3 Flash vs Gemini 3.7 Flash
- GLM 5.3 Flash vs Muse Spark 1.2
- GLM 5.3 Flash vs Qwen3.8 Flash
- GLM 5.3 Flash vs Qwen3.7 Flash
- GLM 5.3 Flash vs DeepSeek V4 Flash Vision Exp
- GLM 5.3 Flash vs Mistral Nemo
- GLM 5.3 Flash vs GLM 5.3 FlashX
- GLM 5.3 Flash vs GPT-5.6 Luna Pro
Our take
GLM 5.3 Flash is 81.8x cheaper for a typical chat. GPT-6 Astra scores higher on the Artificial Analysis Intelligence Index (52.7 vs 41.8). GPT-6 Astra has the larger context window (1.05M vs 1.05M tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is GPT-6 Astra or GLM 5.3 Flash cheaper?
GLM 5.3 Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). GLM 5.3 Flash costs $0.15 per 1M input tokens and $0.50 per 1M output tokens, while GPT-6 Astra costs $10 per 1M input tokens and $50 per 1M output tokens.
Which has a bigger context window, GPT-6 Astra or GLM 5.3 Flash?
GPT-6 Astra supports up to 1.05M tokens of context, compared with 1.05M for GLM 5.3 Flash.
Is GPT-6 Astra smarter than GLM 5.3 Flash?
On the Artificial Analysis Intelligence Index, GPT-6 Astra scores 52.7 and GLM 5.3 Flash scores 41.8, putting GPT-6 Astra ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use GPT-6 Astra and GLM 5.3 Flash at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GPT-6 Astra and GLM 5.3 Flash answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GPT-6 Astra and GLM 5.3 Flash at the same time. Compare the answers side by side and keep the best one.