Grok 4.7 vs Muse Wonder
As of 13 Oct 2026, Muse Wonder (max) leads on quality (66.3 vs 64.1 on the BenchLeader Index), but Grok 4.7 (high) costs 2.7× less, so it is the better buy unless you need the extra quality.
Grok 4.7 
Muse Wonder Key differences
- Muse Wonder (max) leads on quality: 66.3 vs 64.1.
- Grok 4.7 (high) is stronger in coding, composite, knowledge.
- Muse Wonder (max) is stronger in long context, reasoning.
- Grok 4.7 (high) is 2.7× cheaper ($3.00 vs $8.00 per 1M blended).
Choose Grok 4.7 (high) if
- knowledge is the priority (75 vs 73 on the category score)
- cost matters: $3.00 against $8.00 per million tokens blended
- the wait for the first word matters: 46.4 s against 60.8 s to first answer
Choose Muse Wonder (max) if
- reasoning is the priority (88 vs 61 on the category score)
- long context is the priority (66 vs 64 on the category score)
- you need a longer context: 1.0M against 500k tokens
Category by category
Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.
| Category | Grok 4.7 (high) | Muse Wonder (max) | Leader |
|---|---|---|---|
| Reasoning | 61.1 | 87.8 | Muse Wonder |
| Coding | 65.4 | – | not comparable |
| Knowledge | 75.4 | 73.0 | Grok 4.7 |
| Long context | 63.6 | 65.5 | Muse Wonder |
| Composite | 81.6 | 78.2 | Grok 4.7 |
Price, speed and latency
List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page; suite cost is what Artificial Analysis paid to run its whole Intelligence Index.
| Measure | Grok 4.7 (high) | Muse Wonder (max) |
|---|---|---|
| Blended price per 1M tokens | $3.00 | $8.00 |
| Input / output per 1M | $2.00 / $6.00 | $4.00 / $20.00 |
| Price per task: chat reply | $0.0026 | $0.0076 |
| Price per task: summarise a 30-page report | $0.028 | $0.060 |
| Price per task: code edit | $0.021 | $0.054 |
| Price per task: agentic coding session | $0.144 | $0.320 |
| Price per task: structured extraction | $0.0052 | $0.012 |
| Cost to run a full benchmark suite | $2.73 | $4.52 |
| Output speed | 77 tok/s | 85 tok/s |
| Time to first answer | 46.4 s | 60.8 s |
| Time to a complete answer | 53.0 s | 66.7 s |
Every benchmark
| Metric | Grok 4.7 (high) | Muse Wonder (max) |
|---|---|---|
| BenchLeader Index | 64.1 | 66.3 |
| Coding score | 65.4 | – |
| Composite score | 81.6 | 78.2 |
| Knowledge score | 75.4 | 73.0 |
| Long context score | 63.6 | 65.5 |
| Reasoning score | 61.1 | 87.8 |
| Blended price $/M | $3.00 | $8.00 |
| Output speed | 77 tok/s | 85 tok/s |
| Time to first answer | 46.4 s | 60.8 s |
| Context window | 500k | 1.0M |
| SciCode | 57.8% | – |
| LiveBench | – | 81.2% |
| LiveBench Reasoning | – | 90.6% |
| LiveBench Coding | – | 80.7% |
| LiveBench Agentic Coding | – | 62.7% |
| LiveBench Mathematics | – | 96.5% |
| LiveBench Data Analysis | – | 81.6% |
| LiveBench Language | – | 82.9% |
| LiveBench Instruction Following | – | 73.0% |
| AA Intelligence Index v4.3.2 | 46.3 | 52.4 |
| AA-LCR | 77.0% | 80.7% |
| AA-Omniscience | 30.9 | 25.5 |
| Humanity's Last Exam (AA) | 42.3% | 50.1% |
| SciCode (AA) | 57.8% | 60.3% |
| ARC-AGI-1 | 90.2% | – |
| ARC-AGI-2 | 58.3% | – |
| ARC-AGI-3 | 10.0% | – |
| CritPt | 18.0% | 28.3% |
| GDPval-AA v2.1 | 60.4% | 63.5% |
| CursorBench | 43.9% | – |
| Terminal-Bench 4.0 (AA) | 24.8% | 52.0% |
| AutomationBench | – | 68.1% |
| GDP.pdf | – | 30.6% |
| AA-Omniscience: accuracy | 47.8% | 41.1% |
| AA-Omniscience: non-hallucination | 67.6% | 73.5% |
| AA-Briefcase v1.1 | – | 1659 |
Data as of 2026-10-13. Best configuration of each model; every score links to its source on the model pages.
Grok 4.7 vs Muse Wonder: questions
- Is Grok 4.7 better than Muse Wonder?
- Muse Wonder (max) leads on quality: 66.3 vs 64.1. The BenchLeader Index combines every independent quality benchmark; Muse Wonder (max) is ahead overall as of 2026-10-13, but check the category scores for your use.
- Which is cheaper, Grok 4.7 or Muse Wonder?
- Grok 4.7 is cheaper: $3.00 against $8.00 per million tokens, blended at three input tokens per output token.
- Which is faster, Grok 4.7 or Muse Wonder?
- Muse Wonder streams faster: 85 against 77 output tokens per second.
- Which has the larger context window?
- Muse Wonder accepts more context: 1.0M against 500k tokens.