MMeta · Released Sep 2, 2026
Muse Spark 1.3
Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...
- Top 9%SciCode
- Top 13%WebDev Arena
- Top 14%OTIS Mock AIME
- Top 17%CritPt
- Released
- Sep 2 2026
- Context window
- 1M 944K out
- Input / 1M tokens
- $1.25
- Output / 1M tokens
- $4.25
Where to run it
Providers
Only Meta serves Muse Spark 1.3 on OpenRouter right now.
| Provider | Input | Output | Cache read | Context | Max output | Uptime | vs. best |
|---|---|---|---|---|---|---|---|
| Meta | $1.25 | $4.25 | $0.15 | 1M | 944K | 99.8%24h | Cheapest |
Value
Price vs. performance
Muse Spark 1.3 Other Meta Other labs Value frontier · FrontierSWE vs. input price per 1M tokens (log scale) · Drag to pan, pinch or Ctrl + scroll to zoom, double-click to zoom in.
Benchmarks
14 benchmark scores
| Benchmark | Score | Rank | Leader |
|---|---|---|---|
| FrontierSWESoftware engineering · Ultra-long-horizon engineering tasks with a 20-hour budget each | 25.8% | #13of 19 | GPT-6 Astra65.5% |
| CursorBenchSoftware engineering · Ambiguous multi-file tasks drawn from real Cursor sessions | 41.6% | #10of 16 | Claude Opus 5.557.8% |
| SciCodeSoftware engineering · Research-coding problems from the natural sciences | 59.7% | #8of 93 | Claude Opus 5.566.9% |
| WeirdML v3Software engineering · Unfamiliar ML and data tasks with vague goals | 6.7% | #16of 22 | GPT-6 Astra42.2% |
| APEX-AgentsAgents & computer use · Long professional tasks in banking, consulting and law | 58.6% | #13of 51 | Gemini 4 Argon82.4% |
| GDP.pdfWriting & content · Answer questions about real professional PDFs | 27.6% | #9of 38 | GPT-6.1 Sol35.0% |
| WebDev ArenaDesign & visual · People vote on which model builds the better website (Elo) | 1652 | #11of 88 | Claude Opus 5.51820 |
| CritPtReasoning & knowledge · Open-ended, research-level physics problems | 26.0% | #16of 96 | GPT-5.6 Sol32.3% |
| Chess PuzzlesReasoning & knowledge · Find the single best move in 100 new puzzles | 37.0% | #38of 70 | GPT-6 Astra76.0% |
| LMCAReasoning & knowledge · Judge the quality of conceptual arguments like experts | 53.9% | #17of 96 | Claude Sonnet 5.568.3% |
| FrontierMathMaths · Expert-written problems, undergrad to early research (tiers 1–3) | 74.4% | #21of 72 | GPT-6.1 Sol93.7% |
| FrontierMath Tier 4Maths · Exceptionally hard research-level problems | 46.3% | #19of 62 | GPT-6.1 Sol100.0% |
| ProofBenchMaths · Graduate maths proofs verified in Lean 4 | 58.0% | #21of 70 | Claude Sonnet 5.5100.0% |
| OTIS Mock AIMEMaths · Competition-style problems harder than MATH Level 5 | 99.2% | #12of 90 | Gemini 4 Argon100.0% |
Specs
Details
- Model ID
meta/muse-spark-1.3- Developer
- Meta
- Release date
- Sep 2, 2026 ·
- Context window
- 1,048,576 tokens
- Max output
- 943,718 tokens
- API price
- $1.25 / $4.25 per 1M input / output tokens
- Providers
- 1
- Input types
- text, image, video, file
- Reasoning
- Yes
- Tool calling
- Yes
- Open weights
- No
- Free tier
- No
Release date, prices and providers from OpenRouter's catalog; buying directly from a provider can cost a little differently. Uptime is the share of OpenRouter requests each provider served over the last day. Benchmark scores are the best result per benchmark from Epoch AI, licensed CC BY 4.0. Rank counts every model tracked here with a score.