AI model comparison
Kimi K3.1 Pro vs Grok 4.7
Side by side comparison of Kimi K3.1 Pro and Grok 4.7 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
Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6.
- Input / 1M
- $2
- Output / 1M
- $6
- Context
- 500K
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
Grok 4.7
1.3x cheaper for a typical chat
Higher intelligence score
Kimi K3.1 Pro
55.1 vs 46.4 on Artificial Analysis
Larger context window
Kimi K3.1 Pro
1.05M vs 500K 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 Grok 4.7 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $2 | $2 |
| Output tokensPer 1M tokens | $10 | $6 |
| Cached input (read)Per 1M tokens | $0.20 | $0.50 |
| Cache writePer 1M tokens | Not available | Not available |
| Long-context pricingPer 1M tokens, for very long prompts | Same rate at any length | $4 in / $12 out above 200K |
| Web searchPer request | Not available | $0.005 |
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 | 500K tokens |
| Max output | 944K tokens | 450K tokens |
| Input types | Image, Text, Video | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, High, Low, None | Extra high, High, Medium, Low |
| Default reasoning effort | Max | High |
| Release date | October 23, 2026 | September 21, 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 | Supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Not supported | Supported |
| Verbosity control | Not supported | Not supported |
Our take
Grok 4.7 is 1.3x cheaper for a typical chat. Kimi K3.1 Pro scores higher on the Artificial Analysis Intelligence Index (55.1 vs 46.4). Kimi K3.1 Pro has the larger context window (1.05M vs 500K 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 Grok 4.7 cheaper?
Grok 4.7 is cheaper for a typical chat (2K input tokens and 500 output tokens). Grok 4.7 costs $2 per 1M input tokens and $6 per 1M output tokens, while Kimi K3.1 Pro costs $2 per 1M input tokens and $10 per 1M output tokens.
Which has a bigger context window, Kimi K3.1 Pro or Grok 4.7?
Kimi K3.1 Pro supports up to 1.05M tokens of context, compared with 500K for Grok 4.7.
Is Kimi K3.1 Pro smarter than Grok 4.7?
On the Artificial Analysis Intelligence Index, Kimi K3.1 Pro scores 55.1 and Grok 4.7 scores 46.4, 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 Grok 4.7 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Kimi K3.1 Pro and Grok 4.7 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Kimi K3.1 Pro and Grok 4.7 at the same time. Compare the answers side by side and keep the best one.