Meta Launches Muse Spark 1.3, Targeting Rivals on Price

Episode 1 · Meta Launches Muse Spark 1.3: Agentic and Coding Gains at Near-Free Pricing (2026-09-03, 25 posts)

On September 3, Meta officially released Muse Spark 1.3, available the same day on Muse Code and the Meta Model API. Meta and executive Alexandr Wang positioned it as the strongest model in the Spark series to date, with a focus on real-world usability for agentic and coding tasks.

Confirmed

• The model is live on Muse Code and the Meta Model API, available immediately
• Supports longer-horizon, multi-workflow tasks within a single thread, emphasizing complex instruction following
• More proactive and collaborative interaction: asks clarifying questions, flags when stuck, and confirms before critical actions
• Compared with version 1.2: fewer wasted turns, roughly 20% fewer tool calls, and about 25% lower token consumption
• The max reasoning tier will roll out after safety testing is complete

Not Yet Confirmed

• A repost claimed pricing is "nearly negligible" and that open weights and new models are coming; this is supplementary repost information, not directly stated in the official post, and awaits further confirmation

Why It Matters

The core narrative of this upgrade is a shift from single-turn capability toward practical, long-horizon agentic workflows: fewer tool calls and lower token consumption mean real cost and latency reductions for agent tasks—another signal that model vendors' competition is pivoting to agent scenarios.

• Meta Releases Muse Spark 1.3 With Major Gains in Agentic and Coding Performance — alexandr_wang · 2026-09-03
• Muse Spark 1.3 Cuts Tool Calls ~20% and Tokens ~25%, Meta Says — alexandr_wang · 2026-09-03
• Meta's Muse Spark 1.3 Cuts Tool Calls ~20% and Tokens ~25%, Says Alexandr Wang — alexandr_wang · 2026-09-03
• Meta Releases Muse Spark 1.3, Its Strongest Model for Agentic and Coding Tasks — shengjia_zhao · 2026-09-03
• Muse Spark 1.3 rolls out with 'biggest jump' on coding and agentic work, open weights teased — shuchaobi · 2026-09-03
• Meta releases Muse Spark 1.3 with ~20% fewer tool calls and ~25% fewer tokens — AIatMeta · 2026-09-03
• Muse Spark 1.3 rolls out in Muse Code and Meta Model API, max reasoning pending — AIatMeta · 2026-09-03
• Meta teases Muse Spark open weights and bigger models ahead — AIatMeta · 2026-09-03
• Meta ships muse spark 1.3 with stronger agentic and coding skills at near-zero cost — rohanpaul_ai · 2026-09-03
• Muse launches Spark 1.3, a proactive agentic model update, third release in three days — bowenc0221 · 2026-09-03
• Meta ships Muse Spark 1.3, its third release in two months, targeting coding and agents — ren_hongyu · 2026-09-03
• Muse Spark ships 1.1 to 1.3 in two months, pushing coding and agent skills — EdwardSun0909 · 2026-09-03
• Meta releases Muse Spark 1.3 with upgraded agentic and coding performance — ns123abc · 2026-09-03
• Meta Ships Muse Spark 1.3, Third Release in Two Months, Pushing Coding and Agents — billyuchenlin · 2026-09-03
• Muse Spark 1.3 Ships With 'Almost Too Cheap to Meter' Pricing; Open Weights Next — bowenc0221 · 2026-09-03
• Meta officially releases Muse Spark 1.3 with major agentic and coding upgrades — alexandr_wang · 2026-09-03
• Meta ships Muse Spark 1.3; side-by-side 3D viking figurine test vs 1.2 — alexandr_wang · 2026-09-03
• Meta Releases Muse Spark 1.3, Matching Fable 5 at $0.10/M Input, $0.20/M Output — Public_Umpire_1099 · 2026-09-03
• Muse Spark 1.3 released with focus on instruction following and long-horizon coding — armand_ruiz · 2026-09-03
• Meta ships Muse Spark 1.3, predicts rival model access cutoff and industry-wide token price war — SumitGup · 2026-09-03

5 more related posts →

Episode 2 · Meta's Muse Spark 1.3 Hits 62 on Intelligence Index, Near Top Models at Fraction of Cost (2026-09-03, 7 posts)

Meta released its proprietary reasoning model Muse Spark 1.3 on September 3, the fourth iteration in five months. Artificial Analysis has published its eval page: the max version scores 62 on the Intelligence Index and the xhigh version 61, a continued sharp climb from 53 for 1.1 and 57 for 1.2, far above the category median of 17 and ranking near the top among all 636 models. Reddit users conclude Meta is slowly closing the gap with top models like GPT-5.6 Sol.

Confirmed

• Artificial Analysis Intelligence Index: xhigh 61, max 62—on par with GPT-5.6 Sol (max)
• Proprietary reasoning model with a 1M tokens context window
• Pricing stays at $1.25/$4.25 per million tokens; the xhigh version costs just $0.55 per Intelligence Index task, the most cost-efficient model at its intelligence level
• Tau3-Bench Banking: max scores 52%, a new first place on that benchmark; xhigh hits 47%, comparable to Claude Fable 5.1 (max) and peers
• Gains over 1.2 concentrate in agentic evals, with a marked jump on GDPval-AA v2

Why it matters

• Four releases in five months plus consecutive Intelligence Index jumps show Meta rapidly closing the gap with frontier models
• Lowest task cost at its intelligence tier is directly attractive for usage-based Agent applications
• Agent-focused evals (GDPval-AA v2, Tau3-Bench Banking) drove most of the gains, showing the iteration is aimed squarely at agentic capability

• Meta's Muse Spark 1.3 hits 61-62 on AA Intelligence Index, cheapest per-task at its level — ArtificialAnlys · 2026-09-03
• Muse Spark 1.3 (xhigh) is cheapest per-task at its intelligence level at $0.55 — ArtificialAnlys · 2026-09-03
• Muse Spark 1.3 jumps on Intelligence Index, with agentic evals driving gains at $0.55 per task — ArtificialAnlys · 2026-09-03
• Muse Spark 1.3 (max) takes #1 on Tau3-Bench Banking at 52% — ArtificialAnlys · 2026-09-03
• Meta's Muse Spark 1.3 (max) scores 62 on Artificial Analysis Intelligence Index, top-6 of 636 — ArtificialAnlys · 2026-09-03
• Meta's Muse Spark 1.3 Beats Sol on Artificial Analysis Leaderboard — DistanceSolar1449 · 2026-09-03
• Meta's Muse Spark 1.3 ties Claude Fable 5 on Intelligence Index at 8x lower cost — alexandr_wang · 2026-09-03