Muse Wonder Full vs Step 5 Preview
Full profiles: Muse Wonder Full (Meta) and Step 5 Preview (StepFun): every benchmark, price and rank.
Updated · Data from 7 sources
As of 25 Oct 2026, Muse Wonder Full (max) is the better pick for most workloads: it leads on quality (70.6 vs 60.5 on the BenchLeader Index). Pick Muse Wonder Full for reasoning (95 vs 72); pick Step 5 Preview for long context (69 vs 67).
Muse Wonder Full benchmarks 
Step 5 Preview benchmarks Which to pick for…
The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.
| Use case | Pick | Why | Confidence |
|---|---|---|---|
| Coding | Muse Wonder Full | 72 vs 56 category score; IOI 79.8% vs 38.1% | High |
| Reasoning | Muse Wonder Full | 95 vs 72 category score; CritPt 32.9% vs 20.9% | High |
| Knowledge | Muse Wonder Full | 71 vs 69 category score; AA-Omniscience 30.1 vs 16.4 | Medium |
| Long documents | Step 5 Preview | 69 vs 67 category score; AA-LCR 88.3% vs 83.7% | Medium |
| Chat quality (human preference) | – | Only Step 5 Preview has an Arena rating (63 category score) | Not comparable |
| High volume on a budget | Neither flagship | A smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs | – |
Key differences
- Muse Wonder Full (max) leads on quality: 70.6 vs 60.5.
- Muse Wonder Full (max) is stronger in coding, composite, knowledge, reasoning.
- Step 5 Preview is stronger in long context, agents & tools, human preference, maths, multimodal.
At a glance
| Spec | Muse Wonder Full | Step 5 Preview |
|---|---|---|
| Developer | Meta | StepFun |
| Released | 12 Oct 2026 | 18 Sept 2026 |
| Context window (tokens) | 1,000,000 | 1,000,000 |
| Compared at | Muse Wonder Full (max) | Step 5 Preview |
| Open weights | No | Yes |
| Price in / out / cached input per 1M | – | $1.00 / $2.70 / $0.105 |
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 Wonder Full (max) | Step 5 Preview | Leader |
|---|---|---|---|
| Reasoning | 94.9 | 71.5 | Muse Wonder Full |
| Coding | 72.1 | 56.3 | Muse Wonder Full |
| Agents & tools | – | 51.0 | not comparable |
| Maths | – | 59.5 | not comparable |
| Knowledge | 71.4 | 68.9 | Muse Wonder Full |
| Human preference | – | 63.2 | not comparable |
| Multimodal | – | 59.7 | not comparable |
| Long context | 67.0 | 69.4 | Step 5 Preview |
| Composite | 91.9 | 61.1 | Muse Wonder Full |
Where sources disagree
Across the 34 benchmarks both have, Muse Wonder Full leads 33, Step 5 Preview leads 1. Every overall index that rates both puts Muse Wonder Full ahead.
| Overall index | Muse Wonder Full (max) | Step 5 Preview | Leader |
|---|---|---|---|
| BenchLeader Index | 70.6 | 60.5 | Muse Wonder Full |
| AA Intelligence Index v4.3.2 | 55.8 | 43.7 | Muse Wonder Full |
Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).
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 Wonder Full (max) | Step 5 Preview |
|---|---|---|
| Blended price per 1M tokens | – | $1.43 |
| Input / output per 1M | – / – | $1.00 / $2.70 |
| Cached input per 1M | – | $0.105 |
| Price per task: chat reply | – | $0.0012 |
| Price per task: summarize a 30-page report | – | $0.014 |
| Price per task: code edit | – | $0.010 |
| Price per task: agentic coding session | – | $0.071 |
| Price per task: structured extraction | – | $0.0025 |
| Cost to run a full benchmark suite | – | $1.03 |
| Output speed | – | 229 tok/s |
| Time to first answer | – | 9.9 s |
| Time to a complete answer | – | 12.1 s |
Each model is compared at its best-ranked reasoning-effort setting. Muse Wonder Full (max) scores 70.6. Step 5 Preview scores 60.5 and takes 10 s to its first answer token. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.
Every benchmark
80 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.
| Metric | Publisher | Muse Wonder Full (max) | Step 5 Preview |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 70.6 | 60.5 |
| Coding score | BenchLeader | 72.1 | 56.3 |
| Composite score | BenchLeader | 91.9 | 61.1 |
| Knowledge score | BenchLeader | 71.4 | 68.9 |
| Long context score | BenchLeader | 67.0 | 69.4 |
| Reasoning score | BenchLeader | 94.9 | 71.5 |
| Agents & tools score | BenchLeader | – | 51.0 |
| Human preference score | BenchLeader | – | 63.2 |
| Maths score | BenchLeader | – | 59.5 |
| Multimodal score | BenchLeader | – | 59.7 |
| Blended price $/M | BenchLeader | – | $1.43 |
| Output speed | BenchLeader | – | 229 tok/s |
| Time to first answer | BenchLeader | – | 9.9 s |
| Context window | BenchLeader | 1,000,000 tokens | 1,000,000 tokens |
| Reasoning | |||
| Arena Hard Prompts | Arena (LMArena) | – | 1477 |
| LiveBench 2.0 Reasoning | LiveBench | – | 83.8% |
| Humanity's Last Exam (AA) | Artificial Analysis | 53.6% | 46.5% |
| CritPt | Artificial Analysis | 32.9% | 20.9% |
| MysteryMechanism | Vals AI | 35.1% | 18.5% |
| Coding | |||
| SciCode | SciCode | – | 58.9% |
| Arena Coding | Arena (LMArena) | – | 1507 |
| Arena WebDev | Arena (LMArena) | 1726 | 1568† |
| LiveBench 2.0 Coding | LiveBench | – | 85.6% |
| SciCode (AA) | Artificial Analysis | 62.6% | 58.9% |
| IOI | Vals AI | 79.8% | 38.1% |
| Code Migration | Vals AI | 61.0% | 39.0% |
| Code Migration v1.1 | Vals AI | 62.8% | 47.0% |
| ProgramBench | Vals AI | 0.5% | – |
| SWE-bench Multimodal | Vals AI | 47.3% | 40.8% |
| Vibe Code Bench 1-100 | Vals AI | 34.0% | – |
| Vibe Code Bench v1.1 | Vals AI | 86.0% | 70.4% |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | 57.1% | 33.3% |
| FrontierCode 1.1 (AA) | Artificial Analysis | 44.9% | 38.4% |
| Agents & tools | |||
| Arena Agent | Arena (LMArena) | – | -2 |
| LiveBench Long Agentic | LiveBench | – | 27.5% |
| LiveBench Browser | LiveBench | – | 24.0% |
| GDPval-AA v2.1 | Artificial Analysis | 67.8% | 54.3% |
| ITBench SRE (AA) | Artificial Analysis | – | 55.6% |
| Analyst Agent (AA) | Artificial Analysis | – | 35.0% |
Show all 80 benchmarks
| Metric | Publisher | Muse Wonder Full (max) | Step 5 Preview |
|---|---|---|---|
| Agents & tools | |||
| APEX-Agents (AA) | Artificial Analysis | – | 38.0% |
| CyberBench | Vals AI | 73.6% | – |
| Finance Agent v2 | Vals AI | 59.1% | 50.7% |
| Finance Agent v2.1 | Vals AI | 67.6% | 58.9% |
| Harvey's Legal Agent Benchmark v1.1 | Vals AI | 23.3% | – |
| Harvey's Legal Agent Benchmark v1 | Vals AI | 21.7% | 9.2% |
| Legal Research Bench | Vals AI | 53.4% | 40.4% |
| Robo-bench | Vals AI | 10.4% | – |
| SREBench | Vals AI | 11.8% | 0.4% |
| Tax Agent Bench | Vals AI | 43.0% | 27.3% |
| Terminal-Bench 4.0 (Vals) | Vals AI | 58.1% | 31.8% |
| Terminal-Bench Science | Vals AI | 37.1% | 2.9% |
| AutomationBench | Artificial Analysis | 71.3% | 51.0% |
| GDP.pdf (AA) | Artificial Analysis | 32.6% | 14.8% |
| Harvey LAB-AA v1.1 | Harvey | 13.1% | – |
| EnterpriseOps-Gym | Artificial Analysis | – | 47.2% |
| AA-Briefcase v1.1 | Artificial Analysis | 1729 | 1423 |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | 37.1% | 2.4% |
| CWE-Bench (AA) | Artificial Analysis | – | 52.5% |
| DeepSec-Bench (AA) | Artificial Analysis | – | 15.8% |
| CyberGym end-to-end (AA) | Artificial Analysis | – | 74.8% |
| Maths | |||
| ProofBench | Vals AI | – | 42.0% |
| Arena Maths | Arena (LMArena) | – | 1462 |
| Knowledge | |||
| LiveBench 2.0 Data Analysis | LiveBench | – | 63.5% |
| LiveBench Research | LiveBench | – | 72.8% |
| AA-Omniscience | Artificial Analysis | 30.1 | 16.4 |
| LegalBench | Vals AI | 87.4% | – |
| BioMysteryBench | Vals AI | 73.3% | 67.4% |
| Excel Modeling Benchmark | Vals AI | 71.9% | 57.1% |
| Excel Modeling Benchmark v1.1 | Vals AI | 75.0% | 69.5% |
| MedCode | Vals AI | 49.9% | – |
| MedScribe | Vals AI | 89.3% | – |
| Public Benefits Bench v1.1 | Vals AI | 73.8% | 58.1% |
| AA-Omniscience: accuracy | Artificial Analysis | 43.2% | 41.5% |
| AA-Omniscience: non-hallucination | Artificial Analysis | 77.0% | 57.0% |
| Instruction following | |||
| Arena Instruction Following | Arena (LMArena) | – | 1446 |
| Human preference | |||
| Arena Text | Arena (LMArena) | – | 1448 |
| Arena Creative Writing | Arena (LMArena) | – | 1409 |
| Arena Multi-turn | Arena (LMArena) | – | 1445 |
| Arena Longer Queries | Arena (LMArena) | – | 1458 |
| Multimodal | |||
| Arena Vision | Arena (LMArena) | – | 1265 |
| LiveBench Design | LiveBench | – | 76.9% |
| MMMU-Pro | Artificial Analysis | – | 76.4% |
| AA-3D | Artificial Analysis | – | 854 |
| Long context | |||
| AA-LCR | Artificial Analysis | 83.7% | 88.3% |
| MLCR | Artificial Analysis | – | 18.3% |
| Composite | |||
| LiveBench 2.0 | LiveBench | – | 62.0% |
| AA Intelligence Index v4.3.2 | Artificial Analysis | 55.8 | 43.7 |
| Vals Index | Vals AI | 66.8 | – |
| Vals Finance Index | Vals AI | 64.5% | 55.4% |
| Vals RSI Index | Vals AI | 24.4% | – |
| Vals Science Index | Vals AI | 48.5% | 29.6% |
| Vals Router Index | Vals AI | 66.8%† | – |
| AA Cyber Index | Artificial Analysis | – | 47.7 |
| Metadata | |||
| AA Openness Index | Artificial Analysis | – | 33.3 |
Data as of 2026-10-25. Best configuration of each model; every score links to its source on the model pages.
What changed
- Step 5 Preview: 1 score revision.
- Muse Wonder Full (max): 1 new result (Terminal-Bench-Science 0.1 (AA)).
- Muse Wonder Full (max): 9 new results (Code Migration v1.1, Excel Modeling Benchmark v1.1, Finance Agent v2.1…).
- Step 5 Preview: 7 new results (Code Migration v1.1, Excel Modeling Benchmark v1.1, Finance Agent v2.1…).
- Muse Wonder Full (max): 1 new result (FrontierCode 1.1 (AA)).
- Step 5 Preview: 2 score revisions; Step 5 Preview cached input price moved from $0.05/M to $0.10/M (118% up).
- Muse Wonder Full (max): BenchLeader Index 68.6 → 70.7.
- Muse Wonder Full (max): 1 new result (Arena WebDev); 2 score revisions.
- Step 5 Preview: 1 score revision.
- Step 5 Preview: BenchLeader Index 62.2 → 60.6.
Related comparisons
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- Step 5 Preview vs Claude Opus 5.5
- Step 5 Preview vs Gemini 4 Argon
- Step 5 Preview vs Claude Fable 5.1
- Muse Wonder Full vs GPT-6.1 Sol
- Muse Wonder Full vs Claude Sonnet 5.5
Rankings: Best LLM overall · Best LLM for coding · Best LLM for agents · Best cheap LLMs
Muse Wonder Full vs Step 5 Preview: questions
- Is Muse Wonder Full better than Step 5 Preview?
- Muse Wonder Full (max) leads on quality: 70.6 vs 60.5. The BenchLeader Index combines every independent quality benchmark; Muse Wonder Full (max) is ahead overall as of 2026-10-25, but check the category scores for your use.
- Is Muse Wonder Full better than Step 5 Preview for coding?
- Muse Wonder Full scores higher in coding (72 vs 56 on the category index, where 50 is average). On IOI, the top shared coding benchmark, it is 79.8% for Muse Wonder Full against 38.1% for Step 5 Preview.
- Which is better for long documents?
- Step 5 Preview scores higher on long-context benchmarks (69 vs 67). Both accept 1,000,000 tokens of context.
- Do independent benchmarks agree on Muse Wonder Full vs Step 5 Preview?
- Across the 34 benchmarks both have, Muse Wonder Full leads 33, Step 5 Preview leads 1. Every overall index that rates both puts Muse Wonder Full ahead.
- When was Muse Wonder Full released?
- Muse Wonder Full was released on 12 Oct 2026.