MetaReasoning modelMuse Spark 1.1
Muse Spark 1.1 is a Meta proprietary reasoning model, released 9 Jul 2026. Its best configuration ranks #55 of 751 on the BenchLeader Index at 64.2 ±4.8, in the upper half. The ± is the point: 130 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in instruction following (78) and lowest in agents & tools (58). At $2.00 per million tokens blended it is pricier than most ranked models. Output speed of 220 tokens per second puts it in the fastest quarter, with a first token in 2.0 s. It has been measured at 4 reasoning-effort settings; this summary describes the best-scoring one, and the tabs above switch between them. Last measured 2 Oct 2026.
- Blended price
- $2.00/M
- $1.25 in · $4.25 out
- Output speed
- 220 tok/s
- OpenRouter traffic, 7-day median; not yet measured by Artificial Analysis
- First answer
- 2.02 s
- Context
- 1.0M
- Full answer
- –
- Cost per run
- –
- Released
- 9 Jul 2026
- Overall index64
- Reasoning68
- Coding67
- Agents & tools58
- Maths62
- Knowledge70
- Instruction following78
- Human preference66
- Multimodal64
Versions
Meta has shipped 4 models under this name. Each is ranked on its own results; a newer version often has fewer results so far, which holds its index nearer the average until more arrive.
| Model | Released | Index | Rank |
|---|---|---|---|
| Muse Spark 1.3max | 2 Sept 2026 | 67.8 | #21 |
| Muse Spark 1.2xhigh | 5 Aug 2026 | 62.7 | #76 |
| Muse Spark 1.1this page | 9 Jul 2026 | 64.2 | #55 |
| Muse Spark | 8 Apr 2026 | 64.8 | #46 |
Reasoning-effort configurations
The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Not stated” collects results from publishers that did not say which setting they used; for a reasoning model that is usually its thinking mode, but we do not assume it. Pick a setting here or at the top of the page to see its price, speed and category scores.
| Effort | Index | Rank | Speed | First answer | Chat reply cost | Categories |
|---|---|---|---|---|---|---|
| medium | – | – | 220 tok/s | 2.02 s | $0.0018 | |
| high | – | – | 220 tok/s | 2.02 s | $0.0018 | |
| xhigh | 60.5 | #103 | 124 tok/s | 46 s | $0.0018 | Agents & tools 59 · Coding 62 · Composite 59 · Knowledge 67 · Long context 64 · Reasoning 67 |
| not statedbest | 64.2 | #55 | 220 tok/s | 2.02 s | $0.0018 | Agents & tools 58 · Coding 67 · Human preference 66 · Instruction following 78 · Knowledge 70 · Maths 62 · Multimodal 64 · Reasoning 68 |
How its index has moved
8 Sept 2026 to 4 Oct 2026- not stated
- xhigh
The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.
Benchmark results
One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Reasoning
| Benchmark | medium | high | xhigh | not stated | Source | Trend |
|---|---|---|---|---|---|---|
| LMArena Hard Prompts | – | – | – | 1511#15 | LMArena | |
| LiveBench Reasoningnot in index | – | – | 87.7%#25 | – | LiveBench | |
| GPQA Diamond (AA)not in index | – | – | 89.8%#67 | – | Artificial Analysis | |
| Humanity's Last Exam (AA)not in index | – | – | 46.2%#42 | – | Artificial Analysis | |
| GPQA Diamond (Vals)not in index | – | – | 91.2%#23 | – | Vals AI | |
| CritPt | – | – | 15.1%#83 | – | Artificial Analysis | |
| LMCAnot in index | – | 49.9%#50 | – | – | Epoch AI Benchmarking Hub | |
| DTBenchnot in index | – | 94.4%#43 | – | – | Epoch AI Benchmarking Hub |
Coding
| Benchmark | medium | high | xhigh | not stated | Source | Trend |
|---|---|---|---|---|---|---|
| SciCode | – | – | – | 58.8%#13 | SciCode | |
| LMArena Coding | – | – | – | 1533#17 | LMArena | |
| LMArena WebDev | – | – | – | 1542#38 | LMArena | |
| LiveBench Codingnot in index | – | – | 77.2%#37 | – | LiveBench | |
| SciCode (AA)not in index | – | – | 58.8%#16 | – | Artificial Analysis | |
| LiveCodeBench | – | – | 85.9%#27 | – | Vals AI | |
| SWE-bench (Vals)not in index | – | – | 82.0%#21 | – | Vals AI | |
| SWE-Bench Pro | – | – | – | 61.5%#1 | Scale AI SEAL | |
| Code Migrationnot in index | – | – | 31.1%#33 | – | Vals AI | |
| ProgramBenchnot in index | – | – | 0.0%#23 | – | Vals AI | |
| Vibe Code Bench v1.1not in index | – | – | 72.2%#30 | – | Vals AI | |
| SWE-Bench Pro (private)not in index | – | – | – | 61.5%#1 | Scale AI SEAL | |
| SWE Atlas: Codebase QnAnot in index | – | – | 42.2%#9 | – | Scale AI SEAL | |
| SWE Atlas: Test Writingnot in index | – | – | 41.5%#10 | – | Scale AI SEAL | |
| Surface Evolver Benchnot in index | – | 52.5%#17 | – | – | Epoch AI Benchmarking Hub | |
| DeepSWEnot in index | – | – | – | 53.3%#45 | Epoch AI Benchmarking Hub | |
| Terminal-Bench 4.0 (AA)not in index | – | – | 6.1%#85 | – | Artificial Analysis | |
| Terminal-Bench 2.1 (AA)not in index | – | – | 77.9%#54 | – | Artificial Analysis |
Agents & tools
| Benchmark | medium | high | xhigh | not stated | Source | Trend |
|---|---|---|---|---|---|---|
| LMArena Agent | – | – | – | -4.9#38 | LMArena | |
| LiveBench Agentic Codingnot in index | – | – | 58.5%#17 | – | LiveBench | |
| Terminal-Bench 2.1 (Vals) | – | – | 69.3%#30 | – | Vals AI | |
| MCP Atlas | – | – | – | 88.1%#1 | Scale AI SEAL | |
| GDPval (AA)not in index | – | – | 35.4%#105 | – | Artificial Analysis | |
| τ²-Bench Banking (AA) | – | – | 31.8%#61 | – | Artificial Analysis | |
| Finance Agent v2not in index | – | – | 57.2%#14 | – | Vals AI | |
| Harvey's Legal Agent Benchmarknot in index | – | – | 20.0%#4 | – | Vals AI | |
| Legal Research Benchnot in index | – | – | 38.0%#30 | – | Vals AI | |
| SkillsBenchnot in index | – | – | 59.2%#10 | – | Vals AI | |
| Time Horizon Index: KSPnot in index | – | – | 1.7%#11 | – | Vals AI | |
| GBAEvalnot in index | – | – | – | 7.9%#13 | Epoch AI Benchmarking Hub | |
| Vending-Bench 2not in index | – | – | – | 6520.5#13 | Andon Labs |
Maths
| Benchmark | medium | high | xhigh | not stated | Source | Trend |
|---|---|---|---|---|---|---|
| ProofBench | – | – | – | 39.0%#30 | Vals AI | |
| LiveBench Mathematicsnot in index | – | – | 87.1%#44 | – | LiveBench | |
| LMArena Maths | – | – | – | 1492#24 | LMArena |
Knowledge
| Benchmark | medium | high | xhigh | not stated | Source | Trend |
|---|---|---|---|---|---|---|
| SimpleQA Verified | – | – | – | 57.8%#17 | Epoch AI Benchmarking Hub | |
| LiveBench Data Analysisnot in index | – | – | 72.5%#42 | – | LiveBench | |
| AA-Omniscience | – | – | 28.1#38 | – | Artificial Analysis | |
| MMLU-Pro | – | – | 88.7%#17 | – | Vals AI | |
| LegalBench | – | – | 85.0%#25 | – | Vals AI | |
| CorpFin | – | – | 71.3%#4 | – | Vals AI | |
| TaxEval | – | – | 79.7%#2 | – | Vals AI | |
| PRBench Finance | – | – | – | 55.0%#2 | Scale AI SEAL | |
| PRBench Legal | – | – | – | 57.0%#2 | Scale AI SEAL | |
| MultiNRC | – | – | – | 65.6%#1 | Scale AI SEAL | |
| Excel Modeling Benchmarknot in index | – | – | 56.4%#39 | – | Vals AI | |
| MedScribenot in index | – | – | 88.9%#8 | – | Vals AI | |
| Public Benefits Benchnot in index | – | – | 61.3%#25 | – | Vals AI | |
| GDP.pdfnot in index | 15.0%#33 | – | – | 15.0%#33 | Epoch AI Benchmarking Hub | |
| AA-Omniscience: accuracynot in index | – | – | 52.0%#52 | – | Artificial Analysis | |
| AA-Omniscience: non-hallucinationnot in index | – | – | 50.0%#102 | – | Artificial Analysis |
Instruction following
| Benchmark | medium | high | xhigh | not stated | Source | Trend |
|---|---|---|---|---|---|---|
| LiveBench Languagenot in index | – | – | 74.3%#51 | – | LiveBench | |
| LiveBench Instruction Followingnot in index | – | – | 69.6%#30 | – | LiveBench | |
| MultiChallenge | – | – | – | 75.3%#2 | Scale AI SEAL | |
| LMArena Instruction Followingnot in index | – | – | – | 1473#33 | LMArena |
Human preference
| Benchmark | medium | high | xhigh | not stated | Source | Trend |
|---|---|---|---|---|---|---|
| LMArena Text | – | – | – | 1491#12 | LMArena | |
| EQ-Bench 4 | – | – | – | 1260#8 | EQ-Bench | |
| LMArena Creative Writingnot in index | – | – | – | 1447#43 | LMArena | |
| LMArena Multi-turnnot in index | – | – | – | 1496#14 | LMArena | |
| LMArena Longer Queriesnot in index | – | – | – | 1482#42 | LMArena |
Multimodal
| Benchmark | medium | high | xhigh | not stated | Source | Trend |
|---|---|---|---|---|---|---|
| LMArena Vision | – | – | – | 1294#23 | LMArena | |
| MMMU-Pro (Vals)not in index | – | – | 86.6%#18 | – | Vals AI | |
| MortgageTaxnot in index | – | – | 66.1%#36 | – | Vals AI | |
| SAGEnot in index | – | – | 45.6%#38 | – | Vals AI | |
| VTBnot in index | – | – | – | 44.8%#1 | Scale AI SEAL |
Long context
| Benchmark | medium | high | xhigh | not stated | Source | Trend |
|---|---|---|---|---|---|---|
| AA-LCR | – | – | 77.7%#116 | – | Artificial Analysis | |
| LMArena Documentnot in index | – | – | – | 1480#12 | LMArena |
Composite
| Benchmark | medium | high | xhigh | not stated | Source | Trend |
|---|---|---|---|---|---|---|
| Epoch Capabilities Indexnot in index | – | – | – | 154.3#34 | Epoch AI Benchmarking Hub | |
| LiveBench | – | – | 75.3%#36 | – | LiveBench | |
| AA Intelligence Index | – | – | 33.7#89 | – | Artificial Analysis | |
| Vals Multimodal Indexnot in index | – | – | 66.7%#11 | – | Vals AI |
Safety & honesty
| Benchmark | medium | high | xhigh | not stated | Source | Trend |
|---|---|---|---|---|---|---|
| FORTRESSnot in index | – | – | – | 12.4%#62 | Scale AI SEAL |
Where it wins
Benchmarks where this configuration ranks in the top five of every configuration measured.
Where to run it
Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.
| Provider | Speed | First token | Input $/M | Output $/M | Context | Quantisation |
|---|---|---|---|---|---|---|
| Meta | 220 tok/s | 3.55 s | $1.25 | $4.25 | 1.0M | – |
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.150 per 1M. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0018 | $0.0014 | 3.4 s |
| Summarise a 30-page report | 12,000 / 600 | $0.018 | $0.0077 | 4.7 s |
| Code edit | 6,000 / 1,500 | $0.014 | $0.0089 | 8.8 s |
| Agentic coding session | 60,000 / 4,000 | $0.092 | $0.043 | 20.2 s |
| Structured extraction | 2,000 / 200 | $0.0034 | $0.0017 | 2.9 s |
See also
Data as of 4 Oct 2026. Compare these configurations.
Cite as: BenchLeader, “Muse Spark 1.1: benchmarks, pricing, speed and rank”, https://www.benchleader.com/models/muse-spark-1-1, data as of 4 Oct 2026.