Muse Spark 1.1 vs Muse Wonder
As of 13 Oct 2026, Muse Wonder (max) leads on quality (66.3 vs 62.8 on the BenchLeader Index), but Muse Spark 1.1 costs 4.0× less, so it is the better buy unless you need the extra quality.
Muse Spark 1.1 Key differences
- Muse Wonder (max) leads on quality: 66.3 vs 62.8.
- Muse Spark 1.1 is stronger in agents & tools, coding, human preference, instruction following, maths, multimodal.
- Muse Wonder (max) is stronger in knowledge, reasoning, composite, long context.
- Muse Spark 1.1 is 4.0× cheaper ($2.00 vs $8.00 per 1M blended).
- Muse Spark 1.1 streams 2.4× faster (202 vs 85 tokens per second).
Choose Muse Spark 1.1 if
- cost matters: $2.00 against $8.00 per million tokens blended
- you need fast output: 202 against 85 tokens per second
- the wait for the first word matters: 1.9 s against 60.8 s to first answer
Choose Muse Wonder (max) if
- reasoning is the priority (88 vs 68 on the category score)
- knowledge is the priority (73 vs 69 on the category score)
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 | Muse Spark 1.1 | Muse Wonder (max) | Leader |
|---|---|---|---|
| Reasoning | 68.4 | 87.8 | Muse Wonder |
| Coding | 66.6 | – | not comparable |
| Agents & tools | 51.5 | – | not comparable |
| Maths | 61.9 | – | not comparable |
| Knowledge | 68.8 | 73.0 | Muse Wonder |
| Instruction following | 74.2 | – | not comparable |
| Human preference | 65.7 | – | not comparable |
| Multimodal | 63.8 | – | not comparable |
| Long context | – | 65.5 | not comparable |
| Composite | – | 78.2 | not comparable |
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 | Muse Spark 1.1 | Muse Wonder (max) |
|---|---|---|
| Blended price per 1M tokens | $2.00 | $8.00 |
| Input / output per 1M | $1.25 / $4.25 | $4.00 / $20.00 |
| Price per task: chat reply | $0.0018 | $0.0076 |
| Price per task: summarise a 30-page report | $0.018 | $0.060 |
| Price per task: code edit | $0.014 | $0.054 |
| Price per task: agentic coding session | $0.092 | $0.320 |
| Price per task: structured extraction | $0.0034 | $0.012 |
| Cost to run a full benchmark suite | – | $4.52 |
| Output speed | 202 tok/s | 85 tok/s |
| Time to first answer | 1.9 s | 60.8 s |
| Time to a complete answer | – | 66.7 s |
Every benchmark
| Metric | Muse Spark 1.1 | Muse Wonder (max) |
|---|---|---|
| BenchLeader Index | 62.8 | 66.3 |
| Agents & tools score | 51.5 | – |
| Coding score | 66.6 | – |
| Human preference score | 65.7 | – |
| Instruction following score | 74.2 | – |
| Knowledge score | 68.8 | 73.0 |
| Maths score | 61.9 | – |
| Multimodal score | 63.8 | – |
| Reasoning score | 68.4 | 87.8 |
| Composite score | – | 78.2 |
| Long context score | – | 65.5 |
| Blended price $/M | $2.00 | $8.00 |
| Output speed | 202 tok/s | 85 tok/s |
| Time to first answer | 1.9 s | 60.8 s |
| Context window | 1.0M | 1.0M |
| SimpleQA Verified | 57.8% | – |
| SciCode | 58.8% | – |
| APEX-Agents | 31.8% | – |
| ProofBench | 39.0% | – |
| Epoch Capabilities Index | 154.2 | – |
| LMArena Text | 1491 | – |
| LMArena Hard Prompts | 1511 | – |
| LMArena Coding | 1533 | – |
| LMArena WebDev | 1542 | – |
| LMArena Vision | 1293 | – |
| LMArena Agent | -5 | – |
| 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 | – | 52.4 |
| AA-LCR | – | 80.7% |
| AA-Omniscience | – | 25.5 |
| Humanity's Last Exam (AA) | – | 50.1% |
| SciCode (AA) | – | 60.3% |
| SWE-Bench Pro | 61.5% | – |
| MCP Atlas | 88.1% | – |
| MultiChallenge | 75.3% | – |
| PRBench Finance | 55.0% | – |
| MultiNRC | 65.6% | – |
| EQ-Bench 4 | 1260 | – |
| CritPt | – | 28.3% |
| GDPval-AA v2.1 | – | 63.5% |
| FORTRESS | 12.4% | – |
| SWE-Bench Pro (private) | 61.5% | – |
| VTB | 44.8% | – |
| LMArena Maths | 1495 | – |
| LMArena Creative Writing | 1445 | – |
| LMArena Instruction Following | 1472 | – |
| LMArena Multi-turn | 1497 | – |
| LMArena Longer Queries | 1481 | – |
| LMArena Document | 1480 | – |
| DeepSWE v1.1 | 53.3% | – |
| GBAEval | 7.9% | – |
| Vending-Bench 2 | 6520.5 | – |
| GDP.pdf | 15.0% | – |
| Terminal-Bench 4.0 (AA) | – | 52.0% |
| AutomationBench | – | 68.1% |
| GDP.pdf | – | 30.6% |
| AA-Omniscience: accuracy | – | 41.1% |
| AA-Omniscience: non-hallucination | – | 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.
Muse Spark 1.1 vs Muse Wonder: questions
- Is Muse Spark 1.1 better than Muse Wonder?
- Muse Wonder (max) leads on quality: 66.3 vs 62.8. 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, Muse Spark 1.1 or Muse Wonder?
- Muse Spark 1.1 is cheaper: $2.00 against $8.00 per million tokens, blended at three input tokens per output token.
- Which is faster, Muse Spark 1.1 or Muse Wonder?
- Muse Spark 1.1 streams faster: 202 against 85 output tokens per second.
- Which has the larger context window?
- Both accept 1.0M tokens of context.