AI Coding Live News

Meta overhauled the inference engine for Muse Spark 1.3, combining sub-quadratic linear attention with lossless parallel diffusion decoding. The upgrade delivers a 3.8x throughput increase and 50% memory reduction during long-horizon agent coding workflows.

LMArena reports Muse Spark 1.3 (Max) at #13 on Agent Arena with +4.2% net improvement across 8.7K+ real agentic sessions — a 17-rank climb from Muse Spark 1.2 (xHigh) at #30. Code, Work, and Chat all improved, with Code moving to #15 (+4.3%).

Cline says Meta’s Muse Spark 1.3 Contributor model is now free inside Cline. Benchmarks are described as similar to Opus 5 while remaining considerably more affordable for coding-agent workflows.

Cursor announced that Muse Spark 1.3 from Meta is now available in the Cursor coding agent, so users can select the model directly in the product.

Mark Zuckerberg announced Muse Spark 1.3 in Muse Code and the Meta Model API, calling it Meta’s biggest jump yet on coding and agentic work, with frontier performance almost too cheap to meter. Meta Superintelligence Labs followed with a 1.3 max reasoning tier for even stronger coding agents, and teased upcoming open-weight releases.

Meta Superintelligence Labs chief Alexandr Wang publicly released Muse Spark 1.3 max reasoning. Meta reports significantly stronger coding and agentic performance versus 1.3 high and xhigh, after completing safety testing. It is available on Muse Code and the Meta Model API; users can set reasoning to max or install Muse Code from the terminal.

Command Code says Meta Muse Spark 1.3 Contributor is now live in its coding agent across GOAT, Pro, Max, and API. It calls the tier the most capable lowest-cost option yet, with benchmark results in the Opus 5 and GPT-5.6 Sol class.

LMArena says Meta Muse Spark 1.3 (xHigh) lands ~#10 on Code Arena: WebDev with 1623 AutoEval pts, near Claude Fable 5 (#8, 1628) and GPT-5.6 Sol (#11, 1616). That is a large jump from Muse Spark 1.1 (#25, 1540) and 1.2 xHigh (#30, 1534). Scores are early AutoEval and may shift as live human votes arrive.

Artificial Analysis rated GPT-6 Astra: Coding Agent Index 67 in Codex, roughly matching Claude Opus 5 / Fable 5 in Claude Code and Muse Spark 1.3 in Muse Code, with ~70% better token efficiency vs GPT-5.6 Sol (max). List price rises to $10/$50 per 1M in/out (2.5× Sol), yet per-task cost stays well below Fable 5. Intelligence Index stays 61, tied with Sol.

Command Code ran FlappyBench with the same /design prompt across Muse Spark 1.3, Grok-4.6, and Gemini 3.8 Flash. Muse and Grok both scored 9/10, while Muse cost only $0.072; Gemini scored 7/10, cost $0.205, and did not fully finish.

Artificial Analysis (@ArtificialAnlys) published Meta Muse Spark 1.3 results on the Coding Agent Index in the Muse Code harness: the publicly available xhigh variant scores 64 (up 2 from Muse Spark 1.2 at 62) at about $1.72 per task—the cheapest agent above a 60 index score—while the partner-preview max variant scores 68, tied just behind Claude Opus 5 (xhigh) in Claude Code. Claude Fable 5.1 results are still pending.

AI at Meta (@AIatMeta) released Muse Spark 1.3 focused on real-world usability: longer-horizon multi-workflow threads, more active clarifying questions and confirmations before consequential actions, and better calibration of its own limits—about 20% fewer tool calls and 25% fewer tokens vs Muse Spark 1.2 in internal comparisons.

Arena.ai (@arena) says Meta Muse Spark 1.3 is now in the Arena: Agent Arena measures long-horizon agentic tasks with web search, filesystem, and terminal tools via causal tracing vs the average model; it is also in Code Arena WebDev/Text/Vision/Document. Voting is open and scores are coming soon.

Artificial Analysis (@ArtificialAnlys) benchmarks Meta Muse Spark 1.3: the xhigh variant scores 61 on the Intelligence Index (up 4 from 1.2’s 57), while limited-preview max reaches 62, trailing only Claude Fable/Opus lines. Gains are mainly agentic and scientific; xhigh is the lowest cost-per-task among models at 59+ (~$0.55) at unchanged $1.25/$4.25 per 1M tokens.

OpenRouter also announces Muse Spark 1.3 Contributor is live as the cost-efficient tier for experimentation, learning, and early agentic/coding workflows. Listed around $0.10 in / $0.20 out per 1M tokens (vs ~$1.25/$4.25 on the standard tier); prompts and outputs may be used to improve Meta products.