MODEL PROFILE / EDITION 2026.09
Muse Spark 1.3
Teams that want high-taste, very fast, very long-output generation and can accept thin benchmark disclosure
Balanced model evidence score; rank 5. No rank delta is shown because there is no prior numeric snapshot.
Best for
Teams that want high-taste, very fast, very long-output generation and can accept thin benchmark disclosure
Price & access
CONFLICT: Artificial Analysis and MindStudio both report $1.25 in / $4.25 out per 1M; LLM Stats' Meta Model API catalog lists Muse Spark 1.3 at $0.100 in / $0.200 out with $0.002 cached input. Meta's own blog states no price. Scored on the $1.25/$4.25 figure, which two independent sources agree on.
Evidence summary
Release date, speed, context and Design Arena rank are well sourced, but there is no 1.3-specific coding benchmark, the price conflicts by 10x across sources, and Meta's own blog omits price, context, parameters and licence.
Edition status
No prior snapshot. Tracked in the September 2026 baseline.
Strengths
- Design Arena Website rank 2 (1343) - second-best design-preference score in the set
- AA Intelligence Index 53 at 190.1 tok/s: the best intelligence-per-second combination measured here
- 1M input context with a ~944K max output - by far the largest output budget in this set
- ~20% fewer tool calls and ~25% fewer tokens than Muse Spark 1.2 per Meta
Tradeoffs
- No SWE-bench Pro/Verified/LiveCodeBench score for 1.3 - all hard coding evidence is for 1.1/1.2
- Pricing sources conflict by more than 10x ($1.25/$4.25 vs $0.10/$0.20)
- Open weights are promised but not available
- Arena row has only 1,012 votes (+/-21), the widest interval in the top 15
Score profile
visual 84 · code 76 · agentic 80 · debug 74 · context 90 · speed 88 · value 90
Linked evidence
Evidence source 1 ↗Evidence source 2 ↗Evidence source 3 ↗Evidence source 4 ↗Evidence source 5 ↗Evidence source 6 ↗Evidence source 7 ↗Use the same published data, filters, and side-by-side metrics.