Which company has the best AI model on LiveBench (Coding) end of September?

Meta has released Muse Spark 1.3, their fourth Muse Spark model release in five months. Muse Spark 1.3 (max), which is in limited preview for Meta’s partners, scores 62 on the Artificial Analysis Intelligence Index, behind only Claude Fable 5.1 and Claude Opus 5. The variant available now, Muse Spark 1.3 (xhigh), scores 61 and ties with GPT-5.6 Sol (max) and Grok 4.6 (high). Both variants’ gains come primarily from improvements in agentic work and scientific capabilities • • Muse Spark 1.3 (xhigh) enters the Artificial Analysis Intelligence Index at 61, up 4 points from Muse Spark 1.2 (57, August) and 8 points from Muse Spark 1.1 (53, July). It enters tied with GPT-5.6 Sol (max), Grok 4.6 (high), and Claude Opus 5 (high), and behind Claude Fable 5.1 (max, 66), Claude Opus 5 (max, 63), and Claude Fable 5 (max, 62) • • Muse Spark 1.3 (max), which is in a limited preview stage, lands at 62. This higher index score is enabled by gains vs. Muse Spark 1.3 (xhigh) in Tau3-Bench Banking (52% vs. 47%) and GDPval-AA v2 (1,754 Elo vs. 1,709). Muse Spark 1.3 (max) is second only to Claude’s Fable and Opus variants in total score • • Congratulations to @AIatMeta, @finkd, and @alexandr_wang on the release! • • Key Takeaways: • • ➤ Continued improvement on agentic knowledge work tasks. At the launch of Muse Spark 1.2, we noted its significant gains in agentic knowledge work performance vs. Muse Spark 1.1. The latest iteration continues this trend, with Muse Spark 1.3 (xhigh) demonstrating a notable 12-point gain vs. Muse Spark 1.2 in Tau3-Bench Banking (35% to 47%), a 5-point gain in Terminal-Bench 2.1 (80% to 85%), and a new GDPval-AA v2 Elo of 1709 against its predecessor’s 1615. Muse Spark 1.3 (max) improves further on Tau3-Bench Banking (52%) and GDPval-AA v2 (1,754 Elo). This Tau3-Bench Banking score is #1 among all models. Muse Spark 1.3 (max) achieves these higher agentic work scores by using more turns and total reasoning tokens, reasoning 62% more on GDPval-AA v2 and 28% more on Tau3-Bench Banking compared to Muse Spark 1.3 (xhigh) • • ➤ The lowest cost per task for any model at 59+ on the Artificial Analysis Intelligence Index. Muse Spark 1.3 (xhigh) costs $0.55 per Intelligence Index task at Meta's unchanged $1.25/$4.25 per 1M token pricing ($0.15 for cached input), with its peers GPT-5.6 Sol (max) and Grok 4.6 (high) costing $0.95 and $0.94 respectively, a 70%+ premium. This places Muse Spark 1.3 (xhigh) on the Pareto frontier for Intelligence vs. Cost per Task. Its cost per task is higher than Muse Spark 1.2 ($0.40 per task), driven by ~57% more input tokens per task on agentic evaluations, with output tokens up only ~8%. Pricing for Muse Spark 1.3 (max) is not yet publicly available • • ➤ Scientific Reasoning results rose across the board, led by CritPt. CritPt was the standout non-agentic score gain vs. Muse Spark 1.2, with a material +8 points for the xhigh variant (18% to 26%), and GPQA Diamond achieved +4 points (90% to 94%), while Humanity’s Last Exam and SciCode each gained a more modest 2-3 points (45% to 47% and 56% to 59%, respectively). Muse Spark 1.3 (max) achieved roughly similar scores to the xhigh variant, gaining 2 points in Humanity’s Last Exam, tying on GPQA Diamond, and losing a point on CritPt vs. Muse Spark 1.3 (xhigh) • • ➤ Minor regressions in only two evaluations. Both Muse Spark 1.3 (xhigh) and Muse Spark 1.3 (max) dropped 4 points in AA-LCR (83% to 79%) when compared to Muse Spark 1.2, and AA-Omniscience (Accuracy) fell 3 points for xhigh and 1 point for max. The drops in AA-Omniscience (Accuracy) are due to a higher abstention rate (not answering questions when unsure), which also lowered the hallucination rate for Muse Spark 1.3 (xhigh) • • Other model details (xhigh variant): • ➤ Context window: 1M tokens, unchanged from Muse Spark 1.2 • ➤ Pricing: unchanged from Muse Spark 1.2: $1.25/$4.25 per 1M input/output tokens, with cache hits discounted to $0.15 per 1M • ➤ Input modalities: text, image, video • ➤ Availability: Meta's first-party API and Muse Code

JUST IN: Meta releases Muse Spark 1.3, its most powerful AI model yet, with Alexandr Wang claiming it is “better than” OpenAI’s GPT-5.6 Sol at coding.

Anthropic Unveils High-Performance AI ‘Fable 5.1’… Improved Coding Capabilities, Cost Efficiency, and Safety

*ANTHROPIC’S NEW FABLE 5.1 AI MODEL IS CHEAPER, BETTER AT CODING

Google Launches New AI Model in 3 Weeks… “Improves Coding Accuracy and Lowers Prices”

Meta Unveils First AI Coding Agent 'Muse Code'... Challenging OpenAI and Antropic

Meta Unveils First AI Coding Agent… "Competing on Price, Not Performance"

Meta just shipped the beta version of its first coding agent. • • Muse Code is the agent system around Muse Spark 1.2, adding planning, tools, persistent session context, parallel sub-agents, and automatic validation. • • So it can handle one large software task for hours without needing a human to prompt every next step. • • - Scores 82.9% on Terminal-Bench 2.1 against 86.7% for Claude Code running Opus 5. • • - On DeepSWE 1.1 it lands at 59.3%, behind Opus 5 (65.0%) and GPT 5.6 Terra (64.8%). • • - installs with one command • • - You get background agents that stay alive for the whole session and accumulate context, instead of restarting cold on every task. • • - When a job grows big enough, the work fans out to sub-agents running in parallel inside isolated worktrees. • • - Every model call, tool run and edit hits a local event log before it executes, so a crash resumes from the last entry with nothing re-prompted. • • - That durability is why it could run 1,000+ tool calls over 24 hours on NVIDIA Hopper and keep finding kernel improvements deep into the session. • • - Pricing matches Muse Spark 1.1: $1.25/$4.25 per million input/output tokens

Meta to take on Anthropic's Claude and OpenAI's Codex with new coding agent

Meta Muse Spark 1.2 & Muse Code Beta • • - Muse Spark 1.2 is Meta's new coding model, reaching near frontier-level performance on benchmarks like TerminalBench 2.1 and DeepSWE 1.1. • - Muse Code is now in beta: a terminal coding agent that uses persistent and parallel AI agents to plan, code, test, and validate large software engineering tasks.

i never thought i’d see a meta ai model reach parity with fable and gpt 5.6 at coding but here we are • • muse spark 1.2 beats gemini 3.6 flash and grok 4.5 in deepSWE. this is metas second model release in <4 weeks. • • they truly pulled off a miracle and the single common denominator is compute • • zuck aggressively invested in data centers and its paid off. well done.

Meta Releases Coding Agent to Compete With OpenAI and Anthropic -- WSJ

*Meta Platforms Releasing Coding Agent to Compete With OpenAI, Anthropic, Company Says -- WSJ

$META | Meta Debuts First AI Coding Agent To Take On Anthropic And OpenAI - @CNBC •

Meta debuts first AI coding agent to take on Anthropic and OpenAI

Meta debuts first AI coding agent to take on Anthropic and OpenAI