AI model comparison
Muse Wonder vs Grok 4.7
Side by side comparison of Muse Wonder and Grok 4.7 on pricing, benchmark scores, context window, and more.
Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks.
- Input / 1M
- $4
- Output / 1M
- $20
- 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
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At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Grok 4.7
2.6x cheaper for a typical chat
Higher intelligence score
Muse Wonder
43.3 vs 35 on Artificial Analysis
Larger context window
Muse Wonder
1.05M vs 500K tokens
Newer release
Muse Wonder
Released October 12, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
Muse Wonder vs Grok 4.7 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $4 | $2 |
| Output tokensPer 1M tokens | $20 | $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 | $0.0025 | $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 | Audio, File, Image, Text, Video | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, Extra high, High, Medium, Low, Minimal | Extra high, High, Medium, Low |
| Default reasoning effort | Medium | High |
| Release date | October 12, 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 | Supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Not supported | Supported |
| Verbosity control | Not supported | Not supported |
Our take
Grok 4.7 is 2.6x cheaper for a typical chat. Muse Wonder scores higher on the Artificial Analysis Intelligence Index (43.3 vs 35). Muse Wonder 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 Muse Wonder 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 Muse Wonder costs $4 per 1M input tokens and $20 per 1M output tokens.
Which has a bigger context window, Muse Wonder or Grok 4.7?
Muse Wonder supports up to 1.05M tokens of context, compared with 500K for Grok 4.7.
Is Muse Wonder smarter than Grok 4.7?
On the Artificial Analysis Intelligence Index, Muse Wonder scores 43.3 and Grok 4.7 scores 35, putting Muse Wonder ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Muse Wonder and Grok 4.7 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Muse Wonder and Grok 4.7 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Muse Wonder and Grok 4.7 at the same time. Compare the answers side by side and keep the best one.