Claude Fable 5.2 vs Muse Wonder Full
Full profiles: Claude Fable 5.2 (Anthropic) and Muse Wonder Full (Meta): every benchmark, price and rank.
Updated · Data from 7 sources
As of 9 Nov 2026, Claude Fable 5.2 is ahead of Muse Wonder Full on quality (69.4 vs 62.2 on the BenchLeader Index). Claude Fable 5.2 leads in every category we measure both in.
Key facts (as of 9 Nov 2026)
- Claude Fable 5.2 scores 69.4 on the BenchLeader Index and Muse Wonder Full scores 62.2 (BenchLeader, 9 Nov 2026).
- Claude Fable 5.2 costs $16.00 per 1M tokens blended (list price, 9 Nov 2026).
- Of the 18 benchmarks both models have, Claude Fable 5.2 leads 13 (BenchLeader, 9 Nov 2026).
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 | Claude Fable 5.2 | 80 vs 70 category score; FrontierCode 2.0 (AA) 48.8% vs 37.8% | High |
| Reasoning | Claude Fable 5.2 | 78 vs 66 category score; HLE-Diamond (AA) 80.2% vs 48.5% | High |
| Knowledge | Claude Fable 5.2 | 82 vs 63 category score; AA-Omniscience v1.1 66.8 vs 30.6 | High |
| Long documents | Either | 66 vs 67 category score; AA-LCR v1.1 83.3% vs 83.7% | Either |
| High volume on a budget | Neither flagship | A smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs | – |
Key differences
- Claude Fable 5.2 (max) leads on quality: 69.4 vs 62.2.
- Claude Fable 5.2 (max) is stronger in coding, knowledge, reasoning.
- Muse Wonder Full (max) is stronger in long context, agents & tools.
At a glance
| Spec | Claude Fable 5.2 | Muse Wonder Full |
|---|---|---|
| Developer | Anthropic | Meta |
| Released | 9 Nov 2026 | 12 Oct 2026 |
| Context window (tokens) | 1,000,000 | 1,000,000 |
| Compared at | Claude Fable 5.2 (max) | Muse Wonder Full (max) |
| Open weights | No | No |
| Price in / out / cached input per 1M | $8.00 / $40.00 / $0.200 | – |
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 | Claude Fable 5.2 (max) | Muse Wonder Full (max) | Leader |
|---|---|---|---|
| Reasoning | 78.4 | 66.2 | Claude Fable 5.2 |
| Coding | 80.2 | 70.3 | Claude Fable 5.2 |
| Agents & tools | – | 65.8 | not comparable |
| Knowledge | 81.7 | 62.5 | Claude Fable 5.2 |
| Long context | 66.4 | 66.6 | level |
On one chart
Each domain on the index's own scale, where 50 is an average model. Click a domain to see the benchmarks behind it. Pick up to 5 models from the list.
Not drawn, measured for fewer than two of these models: Agents & tools, Maths, Instruction following, Multimodal, Human preference.
Where sources disagree
Across the 18 benchmarks both have, Claude Fable 5.2 leads 13, Muse Wonder Full leads 5. Every overall index that rates both puts Claude Fable 5.2 ahead.
| Overall index | Claude Fable 5.2 (max) | Muse Wonder Full (max) | Leader |
|---|---|---|---|
| BenchLeader Index | 69.4 | 62.2 | Claude Fable 5.2 |
| AA Intelligence Index v5.0 | 64.6 | 50.1 | Claude Fable 5.2 |
| Vals Index | 71.3† | 66.8 | Claude Fable 5.2 |
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. Cost, tokens and time per benchmark task are measured: Artificial Analysis’ averages over its whole Intelligence Index run.
| Measure | Claude Fable 5.2 (max) | Muse Wonder Full (max) |
|---|---|---|
| Blended price per 1M tokens | $16.00 | – |
| Input / output per 1M | $8.00 / $40.00 | – / – |
| Cached input per 1M | $0.200 | – |
| Price per task: chat reply | $0.015 | – |
| Price per task: summarize a 30-page report | $0.120 | – |
| Price per task: code edit | $0.108 | – |
| Price per task: agentic coding session | $0.640 | – |
| Price per task: structured extraction | $0.024 | – |
| Agentic coding session, input mostly cached | $0.289 | – |
| Cost per benchmark task (AA Index) | $26.54 | – |
| Output tokens per task (AA Index) | 274k | 88k |
| Of which reasoning | 193k | 55k |
| Output speed | 72 tok/s | – |
| Time to first answer | 3.0 s | – |
Each model is compared at its best-ranked reasoning-effort setting. Claude Fable 5.2 (max) scores 69.4 and takes 3 s to its first answer token; Claude Fable 5.2 (high) scores 68.9 in 3 s, Claude Fable 5.2 (xhigh) scores 68.7 in 3 s. Muse Wonder Full (max) scores 62.2. 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
70 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 | Claude Fable 5.2 (max) | Muse Wonder Full (max) |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 69.4 | 62.2 |
| Coding score | BenchLeader | 80.2 | 70.3 |
| Knowledge score | BenchLeader | 81.7 | 62.5 |
| Long context score | BenchLeader | 66.4 | 66.6 |
| Reasoning score | BenchLeader | 78.4 | 66.2 |
| Agents & tools score | BenchLeader | – | 65.8 |
| Blended price $/M | BenchLeader | $16.00 | – |
| Output speed | BenchLeader | 72 tok/s | – |
| Time to first answer | BenchLeader | 3.0 s | – |
| Context window | BenchLeader | 1,000,000 tokens | 1,000,000 tokens |
| Reasoning | |||
| LiveBench 2.0 Reasoning | LiveBench | 88.8%† | – |
| Humanity's Last Exam (AA) | Artificial Analysis | 74.3% | 53.6% |
| HLE-Diamond (AA) | Artificial Analysis | 80.2% | 48.5% |
| ARC-AGI-1 | ARC Prize | 97.5% | – |
| ARC-AGI-2 | ARC Prize | 92.5% | – |
| ARC-AGI-3 | ARC Prize | 94.9% | – |
| CritPt | Artificial Analysis | 35.4% | 32.9% |
| CritPt v2 hard subset (AA) | Artificial Analysis | 76.5% | 56.5% |
| MysteryMechanism | Vals AI | 51.8%† | 35.1% |
| Coding | |||
| Arena WebDev | Arena (LMArena) | – | 1724 |
| LiveBench 2.0 Coding | LiveBench | 79.2%† | – |
| SciCode (AA) | Artificial Analysis | 67.7% | 62.6% |
| IOI | Vals AI | – | 79.8% |
| Code Migration | Vals AI | – | 61.0% |
| Code Migration v1.1 | Vals AI | 83.3%† | 62.8% |
| ProgramBench | Vals AI | 19.0%† | 0.5% |
| SWE-bench Multimodal | Vals AI | 62.3%† | 47.3% |
| Vibe Code Bench 1-100 | Vals AI | – | 34.0% |
| Vibe Code Bench v1.1 | Vals AI | 93.8%† | 86.0% |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | 59.6% | 57.1% |
| FrontierCode 1.1 (AA) | Artificial Analysis | 56.2% | 44.9% |
| FrontierCode 2.0 (AA) | Artificial Analysis | 48.8% | 37.8% |
| Agents & tools | |||
| Arena Agent | Arena (LMArena) | – | 9.1 |
| LiveBench Long Agentic | LiveBench | 82.9%† | – |
| LiveBench Browser | LiveBench | 86.9%† | – |
Show all 70 benchmarks
| Metric | Publisher | Claude Fable 5.2 (max) | Muse Wonder Full (max) |
|---|---|---|---|
| Agents & tools | |||
| GDPval-AA v2.1, normalised score | Artificial Analysis | – | 67.8% |
| GDPval-AA v2.1 | Artificial Analysis | 1831 | 1857 |
| CyberBench | Vals AI | – | 73.6% |
| Finance Agent v2 | Vals AI | – | 59.1% |
| Finance Agent v2.1 | Vals AI | 69.5%† | 67.6% |
| Harvey's Legal Agent Benchmark v1.1 | Vals AI | 5.0%† | 23.3% |
| Harvey's Legal Agent Benchmark v1 | Vals AI | – | 21.7% |
| Legal Research Bench | Vals AI | 46.1%† | 53.4% |
| Robo-bench | Vals AI | – | 10.4% |
| SREBench | Vals AI | – | 11.8% |
| Tax Agent Bench | Vals AI | 32.1%† | 43.0% |
| Terminal-Bench 4.0 (Vals) | Vals AI | 65.2%† | 58.1% |
| Terminal-Bench Science | Vals AI | 55.7%† | 37.1% |
| AutomationBench | Artificial Analysis | 76.4% | 71.3% |
| GDP.pdf (AA) | Artificial Analysis | 24.2% | 32.6% |
| Harvey LAB-AA v1.1 | Harvey | 7.2% | 13.1% |
| AA-Briefcase v1.1 | Artificial Analysis | 1785 | 1729 |
| GDPx | GDPx by SemiAnalysis | – | 9.0% |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | 73.3% | 37.1% |
| Knowledge | |||
| LiveBench 2.0 Data Analysis | LiveBench | 81.5%† | – |
| LiveBench Research | LiveBench | 94.5%† | – |
| AA-Omniscience v1.1 | Artificial Analysis | 66.8 | 30.6 |
| LegalBench | Vals AI | – | 87.4% |
| BioMysteryBench | Vals AI | 83.7%† | 73.3% |
| Excel Modeling Benchmark | Vals AI | – | 71.9% |
| Excel Modeling Benchmark v1.1 | Vals AI | 77.4%† | 75.0% |
| MedCode | Vals AI | – | 49.9% |
| MedScribe | Vals AI | – | 89.3% |
| Public Benefits Bench v1.1 | Vals AI | – | 73.8% |
| AA-Omniscience v1.1: accuracy | Artificial Analysis | 79.1% | 41.0% |
| AA-Omniscience v1.1: non-hallucination | Artificial Analysis | 40.7% | 82.4% |
| HealthBench Professional (AA) | OpenAI | 67.7% | – |
| Multimodal | |||
| LiveBench Design | LiveBench | 85.1%† | – |
| AA-3D | Artificial Analysis | 1271 | – |
| Long context | |||
| AA-LCR v1.1 | Artificial Analysis | 83.3% | 83.7% |
| MLCR | Artificial Analysis | – | 22.2% |
| Composite | |||
| LiveBench 2.0 | LiveBench | 84.9%† | – |
| AA Intelligence Index v5.0 | Artificial Analysis | 64.6 | 50.1 |
| AA Intelligence Index v4.3.2 | Artificial Analysis | – | 55.8 |
| AA Progress Index v1 | Artificial Analysis | – | 343.2 |
| Vals Index | Vals AI | 71.3† | 66.8 |
| Vals Finance Index | Vals AI | 63.6%† | 64.5% |
| Vals RSI Index | Vals AI | – | 24.4% |
| Vals Science Index | Vals AI | 63.7%† | 48.5% |
| Vals Router Index | Vals AI | – | 66.8%† |
Data as of 2026-11-09. Best configuration of each model; every score links to its source on the model pages.
What changed
- Muse Wonder Full (max): 1 score revision.
- Muse Wonder Full (max): 1 score revision.
- Muse Wonder Full (max): 1 new result (Arena Agent).
- Muse Wonder Full (max): 6 new results (AA Intelligence Index v5.0, AA Progress Index v1, HLE-Diamond (AA)…); 2 score revisions.
- 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…).
- Muse Wonder Full (max): 1 new result (FrontierCode 1.1 (AA)).
- Muse Wonder Full (max): 1 new result (Arena WebDev); 2 score revisions.
- Muse Wonder Full (max): 21 new results (IOI, LegalBench, Vals Index…).
- Muse Wonder Full (max): 1 new result (Harvey LAB-AA v1.1).
Related comparisons
- Claude Fable 5.2 vs Claude Opus 5.5
- Claude Fable 5.2 vs Gemini 4 Carbon
- Claude Fable 5.2 vs GPT-6 Astra
- Muse Wonder Full vs Claude Opus 5.5
- Muse Wonder Full vs Gemini 4 Carbon
- Muse Wonder Full vs GPT-6 Astra
- Claude Sonnet 5.5 vs Muse Wonder Full
- Claude Fable 5.2 vs Muse Spark 1.3
Rankings: Best LLM overall · Best LLM for coding · Best LLM for agents · Best cheap LLMs
Claude Fable 5.2 vs Muse Wonder Full: questions
- Is Claude Fable 5.2 better than Muse Wonder Full?
- Claude Fable 5.2 (max) leads on quality: 69.4 vs 62.2. The BenchLeader Index combines every independent quality benchmark; Claude Fable 5.2 (max) is ahead overall as of 9 Nov 2026, but check the category scores for your use.
- Is Claude Fable 5.2 or Muse Wonder Full better for coding?
- Claude Fable 5.2 scores higher in coding (80 vs 70 on the category index, where 50 is average). On FrontierCode 2.0 (AA), the top shared coding benchmark, it is 48.8% for Claude Fable 5.2 against 37.8% for Muse Wonder Full.
- Which is better for long documents?
- They are level on long-context benchmarks (66 vs 67). Both accept 1,000,000 tokens of context.
- Do independent benchmarks agree on Claude Fable 5.2 vs Muse Wonder Full?
- Across the 18 benchmarks both have, Claude Fable 5.2 leads 13, Muse Wonder Full leads 5. Every overall index that rates both puts Claude Fable 5.2 ahead.
- When was Claude Fable 5.2 released?
- Claude Fable 5.2 was released on 9 Nov 2026.