AI model comparison
Kimi K3.1 Pro vs GPT-6 Astra
Side by side comparison of Kimi K3.1 Pro and GPT-6 Astra on pricing, benchmark scores, context window, and more.
Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window.
- Input / 1M
- $2
- Output / 1M
- $10
- Context
- 1.05M
GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work.
- Input / 1M
- $10
- Output / 1M
- $50
- Context
- 1.05M
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Kimi K3.1 Pro
5.0x cheaper for a typical chat
Higher intelligence score
Kimi K3.1 Pro
55.1 vs 52.7 on Artificial Analysis
Larger context window
GPT-6 Astra
1.05M vs 1.05M tokens
Newer release
Kimi K3.1 Pro
Released October 23, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
Kimi K3.1 Pro vs GPT-6 Astra API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $2 | $10 |
| Output tokensPer 1M tokens | $10 | $50 |
| Cached input (read)Per 1M tokens | $0.20 | $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, Video | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, High, Low, None | Max, Extra high, High, Medium, Low |
| Default reasoning effort | Max | Medium |
| Release date | October 23, 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 | Not supported | Not supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Not supported | Supported |
| Verbosity control | Not supported | Supported |
Our take
Kimi K3.1 Pro is 5.0x cheaper for a typical chat. Kimi K3.1 Pro scores higher on the Artificial Analysis Intelligence Index (55.1 vs 52.7). 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 Kimi K3.1 Pro or GPT-6 Astra cheaper?
Kimi K3.1 Pro is cheaper for a typical chat (2K input tokens and 500 output tokens). Kimi K3.1 Pro costs $2 per 1M input tokens and $10 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, Kimi K3.1 Pro or GPT-6 Astra?
GPT-6 Astra supports up to 1.05M tokens of context, compared with 1.05M for Kimi K3.1 Pro.
Is Kimi K3.1 Pro smarter than GPT-6 Astra?
On the Artificial Analysis Intelligence Index, Kimi K3.1 Pro scores 55.1 and GPT-6 Astra scores 52.7, putting Kimi K3.1 Pro ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Kimi K3.1 Pro and GPT-6 Astra at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Kimi K3.1 Pro and GPT-6 Astra answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Kimi K3.1 Pro and GPT-6 Astra at the same time. Compare the answers side by side and keep the best one.