Muse Spark vs Muse Spark 1.3
Full profiles: Muse Spark (Meta) and Muse Spark 1.3 (Meta): every benchmark, price and rank.
Updated · Data from 7 sources
As of 24 Oct 2026, Muse Spark and Muse Spark 1.3 (max) are neck and neck on quality (64.3 vs 67.1, inside the ±5.4 margin of error) and close on price, so pick on the category that matters to you. Muse Spark 1.3 leads in every category we measure both in.
Muse Spark 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 | Either | 65 vs 65 category score; SciCode 51.5% vs 58.8% | Either |
| Agents & tool use | Either | 66 vs 66 category score | Either |
| Maths | Muse Spark 1.3 | 63 vs 59 category score; Arena Maths 1510 vs 1467 | Medium |
| Reasoning | Muse Spark 1.3 | 77 vs 65 category score; CritPt 24.9% vs 11.3% | High |
| Knowledge | Muse Spark 1.3 | 73 vs 63 category score; AA-Omniscience 25 vs 7.2 | High |
| Long documents | Muse Spark 1.3 | 67 vs 64 category score; AA-LCR 83.0% vs 78.0% | Medium |
| Images and other media | Muse Spark 1.3 | 66 vs 65 category score; Arena Vision 1308 vs 1306 | Medium |
| Chat quality (human preference) | Either | 68 vs 69 on Arena votes | Either |
| High volume on a budget | Neither flagship | A smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs | – |
Key differences
- Muse Spark and Muse Spark 1.3 (max) are neck and neck on quality (64.3 vs 67.1, within the ±5.4 margin).
- Muse Spark is stronger in agents & tools, coding, instruction following.
- Muse Spark 1.3 (max) is stronger in composite, human preference, knowledge, long context, maths, multimodal, reasoning.
At a glance
| Spec | Muse Spark | Muse Spark 1.3 |
|---|---|---|
| Developer | Meta | Meta |
| Released | 8 Apr 2026 | 2 Sept 2026 |
| Context window (tokens) | 262,144 | 1,048,576 |
| Compared at | Muse Spark | Muse Spark 1.3 (max) |
| Open weights | No | No |
| Price in / out / cached input per 1M | – | $1.25 / $4.25 / $0.150 |
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 | Muse Spark 1.3 (max) | Leader |
|---|---|---|---|
| Reasoning | 65.3 | 77.4 | Muse Spark 1.3 |
| Coding | 65.0 | 64.5 | level |
| Agents & tools | 66.1 | 65.6 | level |
| Maths | 59.1 | 63.4 | Muse Spark 1.3 |
| Knowledge | 63.3 | 72.8 | Muse Spark 1.3 |
| Instruction following | 77.3 | – | not comparable |
| Human preference | 68.3 | 69.1 | level |
| Multimodal | 64.5 | 65.7 | Muse Spark 1.3 |
| Long context | 64.0 | 66.6 | Muse Spark 1.3 |
| Composite | 64.5 | 83.3 | Muse Spark 1.3 |
Where sources disagree
Across the 20 benchmarks both have, Muse Spark leads 2, Muse Spark 1.3 leads 18. Every overall index that rates both puts Muse Spark 1.3 ahead.
| Overall index | Muse Spark | Muse Spark 1.3 (max) | Leader |
|---|---|---|---|
| BenchLeader Index | 64.3 | 67.1 | neck and neck |
| AA Intelligence Index v4.3.2 | 31.3 | 48.1 | Muse Spark 1.3 |
| Arena Text | 1489 | 1496 | Muse Spark 1.3 |
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 Spark | Muse Spark 1.3 (max) |
|---|---|---|
| Blended price per 1M tokens | – | $2.00 |
| Input / output per 1M | – / – | $1.25 / $4.25 |
| Cached input per 1M | – | $0.150 |
| Price per task: chat reply | – | $0.0018 |
| Price per task: summarize a 30-page report | – | $0.018 |
| Price per task: code edit | – | $0.014 |
| Price per task: agentic coding session | – | $0.092 |
| Price per task: structured extraction | – | $0.0034 |
| Cost to run a full benchmark suite | – | $1.60 |
| Output speed | – | 116 tok/s |
| Time to first answer | – | 90.1 s |
| Time to a complete answer | – | 94.4 s |
Each model is compared at its best-ranked reasoning-effort setting. Muse Spark scores 64.3. Muse Spark 1.3 (max) scores 67.1 and takes 90 s to its first answer token; Muse Spark 1.3 (xhigh) scores 64.9 in 30 s, Muse Spark 1.3 scores 59.8 in 3 s. 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
119 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 Spark | Muse Spark 1.3 (max) |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 64.3 | 67.1 |
| Agents & tools score | BenchLeader | 66.1 | 65.6 |
| Coding score | BenchLeader | 65.0 | 64.5 |
| Composite score | BenchLeader | 64.5 | 83.3 |
| Human preference score | BenchLeader | 68.3 | 69.1 |
| Instruction following score | BenchLeader | 77.3 | – |
| Knowledge score | BenchLeader | 63.3 | 72.8 |
| Long context score | BenchLeader | 64.0 | 66.6 |
| Maths score | BenchLeader | 59.1 | 63.4 |
| Multimodal score | BenchLeader | 64.5 | 65.7 |
| Reasoning score | BenchLeader | 65.3 | 77.4 |
| Blended price $/M | BenchLeader | – | $2.00 |
| Output speed | BenchLeader | – | 116 tok/s |
| Time to first answer | BenchLeader | – | 90.1 s |
| Context window | BenchLeader | 262,144 tokens | 1,048,576 tokens |
| Reasoning | |||
| GPQA Diamond | Epoch AI Benchmarking Hub | 89.8% | – |
| Humanity's Last Exam | Scale AI / CAIS | 40.6% | – |
| Arena Hard Prompts | Arena (LMArena) | 1506 | 1517 |
| LiveBench 2.0 Reasoning | LiveBench | – | 89.7%† |
| LiveBench 1.0 Reasoning | LiveBench | – | 89.7%† |
| GPQA Diamond (AA) | Artificial Analysis | 88.4% | 93.5% |
| Humanity's Last Exam (AA) | Artificial Analysis | 40.7% | 48.7% |
| GPQA Diamond (Vals) | Vals AI | 89.7% | – |
| CritPt | Artificial Analysis | 11.3% | 24.9% |
| MysteryMechanism | Vals AI | – | 36.0% |
| Chess Puzzles | Epoch AI Benchmarking Hub | – | 37.0% |
| Mystery Game Puzzles | Epoch AI Benchmarking Hub | – | 25.0% |
| LMCA | Epoch AI Benchmarking Hub | – | 53.9%† |
| DTBench | Epoch AI Benchmarking Hub | – | 96.5%† |
| BTF-3 | Epoch AI Benchmarking Hub | – | 14.1%† |
| Coding | |||
| SciCode | SciCode | 51.5% | 58.8% |
| Arena Coding | Arena (LMArena) | 1529 | 1536 |
| Arena WebDev | Arena (LMArena) | – | 1657 |
| LiveBench 2.0 Coding | LiveBench | – | 90.2%† |
| LiveBench 1.0 Coding | LiveBench | – | 81.1%† |
| SciCode (AA) | Artificial Analysis | – | 58.8% |
| IOI | Vals AI | – | 56.6% |
| SWE-bench (Vals) | Vals AI | 74.4% | – |
| SWE-Bench Pro | Scale AI SEAL | 55.0% | – |
| Code Migration | Vals AI | – | 47.4% |
Show all 119 benchmarks
| Metric | Publisher | Muse Spark | Muse Spark 1.3 (max) |
|---|---|---|---|
| Coding | |||
| ProgramBench | Vals AI | – | 2.5% |
| SWE-bench Multimodal | Vals AI | – | 43.1% |
| Vibe Code Bench 1-100 | Vals AI | – | 20.5% |
| Vibe Code Bench v1.1 | Vals AI | 19.7% | 85.9% |
| SWE-Bench Pro (private) | Scale AI SEAL | 55.0% | – |
| SWE Atlas: Codebase QnA | Scale AI SEAL | 24.2% | – |
| SWE Atlas: Test Writing | Scale AI SEAL | 31.1% | – |
| CursorBench | Cursor | – | 41.6% |
| ALE-Bench | Epoch AI Benchmarking Hub | – | 1688.3† |
| FrontierSWE | Epoch AI Benchmarking Hub | – | 25.8% |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | – | 33.3% |
| Terminal-Bench 2.1 (AA) | Artificial Analysis | 62.2% | 84.3% |
| Startrise Frontend | Startrise | – | 74.7%† |
| FrontierCode 1.1 (AA) | Artificial Analysis | – | 40.6% |
| Agents & tools | |||
| Terminal-Bench | Terminal-Bench | – | 14.6%† |
| APEX-Agents | Mercor | – | 47.6% |
| Arena Agent | Arena (LMArena) | – | 3.4 |
| LiveBench Long Agentic | LiveBench | – | 40.4%† |
| LiveBench Browser | LiveBench | – | 80.0%† |
| LiveBench Agentic Coding | LiveBench | – | 64.1%† |
| Terminal-Bench Hard | Artificial Analysis | 45.5% | – |
| τ²-Bench Telecom (AA) | Artificial Analysis | 91.5% | – |
| Terminal-Bench 2.1 (Vals) | Vals AI | – | 79.0% |
| MCP Atlas | Scale AI SEAL | 82.2% | – |
| HiL-Bench | Scale AI SEAL | – | 66.9%† |
| τ³-Banking (AA) | Artificial Analysis | – | 50.5% |
| ITBench SRE (AA) | Artificial Analysis | – | 33.2% |
| Analyst Agent (AA) | Artificial Analysis | – | 37.5% |
| CUA-bench | Vals AI | – | 5.8% |
| CyberBench | Vals AI | – | 72.7% |
| Finance Agent v2 | Vals AI | – | 60.0% |
| Harvey's Legal Agent Benchmark v1 | Vals AI | – | 23.8% |
| Legal Research Bench | Vals AI | – | 55.3% |
| SREBench | Vals AI | – | 3.8% |
| Tax Agent Bench | Vals AI | – | 42.4% |
| Terminal-Bench 2.0 (Vals) | Vals AI | 59.5% | – |
| Terminal-Bench 4.0 (Vals) | Vals AI | – | 24.8% |
| Terminal-Bench Science | Vals AI | – | 10.0% |
| AutomationBench | Artificial Analysis | – | 57.9% |
| GDP.pdf (AA) | Artificial Analysis | – | 26.6% |
| Harvey LAB-AA v1.1 | Harvey | – | 8.9% |
| AA-Briefcase v1.1 | Artificial Analysis | – | 1581 |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | – | 10.9% |
| Maths | |||
| FrontierMath Tiers 1–3 | Epoch AI Benchmarking Hub | – | 74.0% |
| FrontierMath Tier 4 | Epoch AI Benchmarking Hub | – | 46.3% |
| OTIS Mock AIME | Epoch AI Benchmarking Hub | 88.9% | 99.2%† |
| ProofBench | Vals AI | 17.0% | 58.0% |
| LiveBench Mathematics | LiveBench | – | 96.0%† |
| AIME (Vals) | Vals AI | 96.9% | – |
| Arena Maths | Arena (LMArena) | 1467 | 1510 |
| Knowledge | |||
| LiveBench 2.0 Data Analysis | LiveBench | – | 79.6%† |
| LiveBench Research | LiveBench | – | 68.6%† |
| LiveBench 1.0 Data Analysis | LiveBench | – | 79.6%† |
| AA-Omniscience | Artificial Analysis | 7.2 | 25 |
| MMLU-Pro | Vals AI | 87.3% | – |
| LegalBench | Vals AI | 84.2% | – |
| CorpFin | Vals AI | 65.1% | – |
| TaxEval | Vals AI | 77.7% | – |
| PRBench Finance | Scale AI SEAL | 52.4% | 59.5%† |
| PRBench Legal | Scale AI SEAL | 52.3% | 61.6%† |
| MultiNRC | Scale AI SEAL | 59.0% | – |
| CaseLaw v2 | Vals AI | 63.1% | – |
| Excel Modeling Benchmark | Vals AI | – | 67.4% |
| MedCode | Vals AI | 51.3% | – |
| MedScribe | Vals AI | 85.9% | – |
| DrugDiscoveryBench | Scale AI SEAL | – | 62.2%† |
| GDP.pdf | Epoch AI Benchmarking Hub | – | 27.6%† |
| AA-Omniscience: accuracy | Artificial Analysis | 49.6% | 43.6% |
| AA-Omniscience: non-hallucination | Artificial Analysis | 15.8% | 67.1% |
| Instruction following | |||
| LiveBench Language | LiveBench | – | 82.8%† |
| LiveBench Instruction Following | LiveBench | – | 78.0%† |
| IFBench | Artificial Analysis | 75.9% | – |
| MultiChallenge | Scale AI SEAL | 75.5% | – |
| TutorBench | Scale AI SEAL | 68.5% | – |
| Arena Instruction Following | Arena (LMArena) | 1465 | 1485 |
| Human preference | |||
| Arena Text | Arena (LMArena) | 1489 | 1496 |
| Arena Creative Writing | Arena (LMArena) | 1464 | 1463 |
| Arena Multi-turn | Arena (LMArena) | 1494 | 1494 |
| Arena Longer Queries | Arena (LMArena) | 1476 | 1497 |
| Multimodal | |||
| Arena Vision | Arena (LMArena) | 1306 | 1308 |
| LiveBench Design | LiveBench | – | 74.8%† |
| MMMU-Pro | Artificial Analysis | 80.5% | 82.0%† |
| MMMU-Pro (official) | MMMU | 80.4%† | – |
| MMMU-Pro (Vals) | Vals AI | 87.4% | – |
| AA-3D | Artificial Analysis | – | 1037 |
| Long context | |||
| AA-LCR | Artificial Analysis | 78.0% | 83.0% |
| Arena Document | Arena (LMArena) | 1467 | 1468 |
| MLCR | Artificial Analysis | – | 13.9% |
| Composite | |||
| Epoch Capabilities Index | Epoch AI Benchmarking Hub | 152.0 | 157.2† |
| LiveBench 2.0 | LiveBench | – | 74.8%† |
| LiveBench 1.0 | LiveBench | – | 81.6%† |
| AA Intelligence Index v4.3.2 | Artificial Analysis | 31.3 | 48.1 |
| Vals RSI Index | Vals AI | – | 19.6% |
| Safety & honesty | |||
| FORTRESS | Scale AI SEAL | 20.2% | – |
Data as of 2026-10-24. Best configuration of each model; every score links to its source on the model pages.
What changed
- Muse Spark 1.3 (max): 3 new results (Harvey's Legal Agent Benchmark v1, Vals RSI Index, SWE-bench Multimodal); 1 score revision.
- Muse Spark 1.3 (max): 1 score revision.
- Muse Spark 1.3 (max): 1 score revision.
- Muse Spark 1.3 (max): 2 new results (ProgramBench, SREBench); 1 score revision.
- Muse Spark 1.3 (max): 2 new results (APEX-Agents, FrontierSWE); 1 score revision.
- Muse Spark 1.3 (max): BenchLeader Index 68.0 → 67.5.
- Muse Spark: 1 new result (PRBench Legal).
- Muse Spark 1.3 (max): 1 new result (Analyst Agent (AA)); 1 score revision.
- Muse Spark: 1 new result (SWE Atlas: Codebase QnA).
- Muse Spark 1.3 (max): 3 new results (FrontierCode 1.1 (AA), Terminal-Bench-Science 0.1 (AA), AA-3D).
Related comparisons
- Muse Spark vs Claude Opus 5.5
- Muse Spark vs Gemini 4 Argon
- Muse Spark vs Muse Wonder Full
- Muse Spark 1.3 vs Claude Opus 5.5
- Muse Spark 1.3 vs Gemini 4 Argon
- Muse Spark 1.3 vs Muse Wonder Full
- Muse Spark 1.3 vs Claude Fable 5.1
- Muse Spark vs Muse Spark 1.2
Rankings: Best LLM overall · Best LLM for agents · Best cheap LLMs
Muse Spark vs Muse Spark 1.3: questions
- Is Muse Spark better than Muse Spark 1.3?
- Muse Spark and Muse Spark 1.3 (max) are neck and neck on quality (64.3 vs 67.1, within the ±5.4 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 2026-10-24, so check the category scores for your use.
- Is Muse Spark better than Muse Spark 1.3 for coding?
- They are level in coding (65 vs 65 on the category index). On SciCode, the top shared coding benchmark, it is 51.5% for Muse Spark against 58.8% for Muse Spark 1.3.
- Is Muse Spark better than Muse Spark 1.3 for agents and tool use?
- They are level in agentic tasks (66 vs 66 on the category index).
- Which is better for long documents?
- Muse Spark 1.3 scores higher on long-context benchmarks (67 vs 64). Muse Spark 1.3 accepts more context: 1,048,576 against 262,144 tokens for Muse Spark.
- Do independent benchmarks agree on Muse Spark vs Muse Spark 1.3?
- Across the 20 benchmarks both have, Muse Spark leads 2, Muse Spark 1.3 leads 18. Every overall index that rates both puts Muse Spark 1.3 ahead.
- When was Muse Spark 1.3 released?
- Muse Spark 1.3 was released on 2 Sept 2026.