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Muse Wonder by Meta scores 71.48 overall, costs $4.00 per 1M input tokens and $20.00 per 1M output tokens, and carries a context window of 1M tokens — observed 2026-10-23.
Meta · Proprietary · rank 14 · bench-align-v5
Seven axes from the ranking source. A missing axis is drawn as a gap.
Measured values with the date they were observed. Nothing is inferred from a sibling model or a provider claim.
Time to first token: latency to the first answer chunk (Artificial Analysis, via BenchLM). Reasoning models include thinking time, so values can run to tens or hundreds of seconds.
Evidence key: Observed
| Measurement | Value | Observed | Last good | Evidence |
|---|---|---|---|---|
| Time to first token | 44.51 s | 2026-10-23 | 2026-10-23 | |
| Throughput | 161 tok/s | 2026-10-23 | 2026-10-23 |
Regional or per-endpoint measurements appear only when the API supplies them; none are modelled here.
Every published price component, including cache reads and writes.
10 conversations per day × 8 messages × 22 active days, 1200 input and 400 output tokens per message, no cache. This uses the same calculator as the cost simulator, so an unavailable applicable rate makes the example unavailable too.
24 matched benchmark rows with their published value, unit, and provenance.
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index | 52.4 | Cross-benchmark intelligence index | Display-only external reference | Artificial Analysis |
| AA-HLE Artificial Analysis Humanity's Last Exam | 50.1 | Expert-level questions | Frontier expert reasoning | Artificial Analysis Humanity's Last Exam Benchmark Leaderboard |
| AA-Omniscience Index Artificial Analysis Omniscience Index | 25.5 | Knowledge questions | Broad factual knowledge | AA-Omniscience: Knowledge and Hallucination Benchmark |
Lifecycle events the source associates with this model, plus what this profile does not claim.
That is not evidence the model has no lifecycle plan — only that this source published none.
| AA-Omniscience Accuracy Artificial Analysis Omniscience Accuracy |
| 41.1 |
| Knowledge questions |
| Broad knowledge |
| Artificial Analysis model benchmarks |
| AA-Omniscience Hallucination Rate Artificial Analysis Omniscience Hallucination Rate | 26.5 | Knowledge questions | Factuality | Artificial Analysis model benchmarks |
| HealthBench Professional HealthBench Professional | 60.5 | Clinician chat tasks | Professional clinical workflows | HealthBench Professional: Evaluating Large Language Models on Real Clinician Chats |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| ProgramBench ProgramBench: Can Language Models Rebuild Programs From Scratch? | 50.0 | 200 program reconstruction tasks | Full-repository software architecture | ProgramBench: Can Language Models Rebuild Programs From Scratch? |
| Bug Hunt Bench Bug Hunt Bench | 31.7 | 105 planted bugs across two production TypeScript repositories | Blind production-repository bug finding and repair | Bug Hunt Bench method, caveats, and definitions |
| AA-SciCode Artificial Analysis SciCode | 60.3 | Scientific coding subproblems | Scientific programming | Artificial Analysis SciCode Benchmark Leaderboard |
| DeepSWE DeepSWE | 78.8 | 113 software engineering tasks across 91 repositories and 5 languages | Long-horizon software engineering | DeepSWE benchmark blog |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| AA-LCR Artificial Analysis Long Context Reasoning | 80.7 | Long-context reasoning tasks | Long-context reasoning | Artificial Analysis model benchmarks |
| CritPt Critical Physics Tasks | 28.3 | Research-level physics questions | Research-level physics reasoning | CritPt Benchmark Leaderboard |
| STEMBench STEMBench120: six-domain scientific research progress | 2.68 | 120 research tasks, 20 in each of six STEM domains | Open research targets; no run has reached a full-target success | STEMBench: six-domain model evaluation |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| AA Briefcase Artificial Analysis Briefcase | 1659 | Professional knowledge-work tasks | Professional work | Artificial Analysis Briefcase Benchmark Leaderboard |
| AA AutomationBench Artificial Analysis AutomationBench | 39.1 | Business-process automation tasks | Agentic automation | Artificial Analysis AutomationBench Benchmark Leaderboard |
| GDPval-AA GDPval-AA | 1770 | Agentic real-world work tasks | Professional agentic workflows | DeepSeek-V4 Technical Report |
| GDPval-AA GDPval-AA normalized | 63.5 | Economically valuable tasks | Professional agentic workflows | Artificial Analysis model benchmarks |
| AA Terminal-Bench 4.0 Artificial Analysis Terminal-Bench v4.0 | 52.0 | Terminal-based agent tasks | Agentic software engineering | Artificial Analysis Terminal-Bench v4.0 Benchmark Leaderboard |
| GDP.pdf Artificial Analysis GDP.pdf | 30.6 | Professional document-production tasks | Professional knowledge work | GDP.pdf Benchmark Leaderboard |
| JobBench JobBench | 70.5 | 130 tasks across 35 occupations | Professional multi-source workflows | JobBench: Aligning Agent Work With Human Will |
| Finance Agent v2 Finance Agent v2 | 56.6 | Financial analyst task categories | Professional expert-task agent workflow | Finance Agent v2 |
| Harvey LAB-AA v1.1 Harvey LAB-AA v1.1 | 10.0 | 120 private legal tasks across 24 practice areas | Professional legal work | Harvey LAB-AA v1.1 Benchmark Leaderboard |
| MazeBench MazeBench: visual spatial reasoning in a 3D open world | 0 | 100 hidden gems across 256 rooms in one open world | Long-horizon spatial planning, with single puzzles that can take over one hundred moves | MazeBench Results |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| Design Arena Website Design Arena Website Elo | 1360 | Website generation comparisons | Design and website generation | OpenRouter Grok 4.3 benchmarks |