AI model comparison
DeepSeek V4.1 Flash vs GPT-6 Astra
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
DeepSeek
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture.
- Input / 1M
- $0.30
- Output / 1M
- $1.20
- Context
- 1.05M
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
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
DeepSeek V4.1 Flash
37.5x cheaper for a typical chat
Higher intelligence score
GPT-6 Astra
52.7 vs 39.5 on Artificial Analysis
Larger context window
GPT-6 Astra
1.05M vs 1.05M tokens
Newer release
DeepSeek V4.1 Flash
Released September 10, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
DeepSeek V4.1 Flash vs GPT-6 Astra API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.30 | $10 |
| Output tokensPer 1M tokens | $1.20 | $50 |
| Cached input (read)Per 1M tokens | $0.01 | $1 |
| Cache writePer 1M tokens | Not available | $12.50 |
| Long-context pricingPer 1M tokens, for very long prompts | Same rate at any length | $20 in / $75 out above 272K |
| Web searchPer request | Not available | $0.01 |
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
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 944K tokens | 128K tokens |
| Input types | Image, Text | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, High, Low | Max, Extra high, High, Medium, Low |
| Default reasoning effort | High | Medium |
| Release date | September 10, 2026 | September 4, 2026 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Not supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Supported |
Our take
DeepSeek V4.1 Flash is the high-volume pick: much cheaper, very popular, and good enough for a lot of everyday tasks. Astra is the one you want when the answer has to be right, with a 52.7 intelligence score against Flash's 39.5.
FAQ
Frequently asked questions
Is DeepSeek V4.1 Flash or GPT-6 Astra cheaper?
DeepSeek V4.1 Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). DeepSeek V4.1 Flash costs $0.30 per 1M input tokens and $1.20 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, DeepSeek V4.1 Flash or GPT-6 Astra?
GPT-6 Astra supports up to 1.05M tokens of context, compared with 1.05M for DeepSeek V4.1 Flash.
Is DeepSeek V4.1 Flash smarter than GPT-6 Astra?
On the Artificial Analysis Intelligence Index, DeepSeek V4.1 Flash scores 39.5 and GPT-6 Astra scores 52.7, putting GPT-6 Astra ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use DeepSeek V4.1 Flash and GPT-6 Astra at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see DeepSeek V4.1 Flash and GPT-6 Astra answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to DeepSeek V4.1 Flash and GPT-6 Astra at the same time. Compare the answers side by side and keep the best one.