@elevate_sneakers: Lowkey clean, highkey needed#newbalance #newbalance9060 #flykicks #sneakerhead #menshoes

ELEVATE SNEAKERS
ELEVATE SNEAKERS
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Wednesday 15 July 2026 01:00:00 GMT
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Same score as Claude Haiku, a third of the cost 💸 Meta's new Muse Ember, compared with the cheap-model crowd. Independent numbers from Artificial Analysis (Intelligence Index v5.0.1, published Nov 9, 2026). • Score: Muse Ember (max) 36, tied with Claude Haiku 5.5 (max). Grok 4.7 (xhigh) and Tencent Hy4 35, DeepSeek V4.1 Flash 1017 (max) 33, GPT-6 Luna (max) 28. • Cost per task: Muse Ember $0.14 vs Haiku 5.5 $0.41 (almost 3x more) and DeepSeek V4.1 Flash $0.60. • Same token prices as Haiku 5.5 and GPT-6 Luna: $0.10 input / $0.50 output per 1M. The savings come from cheaper cached input ($0.004 per 1M, 60% cheaper) and about a third as many output tokens per task (84k vs 226k for Haiku). • Coding is mixed: 40.9% vs 32.8% for Haiku on Terminal-Bench 4.0, but 27.2% vs 34.9% on FrontierCode 2.0. In Muse Code it scores 46 on the Coding Agent Index vs 37 for Haiku 5.5 in Claude Code. • Weak spot: knowledge. 21% AA-Omniscience accuracy because it declines 64% of questions, which keeps its hallucination rate at 17%, half of Haiku's. • 1M context window, text and image input. Available on Meta's first-party API and Muse Code. Takeaway: token price isn't the whole bill. Cache pricing and how many tokens a model burns per task decide what an agent really costs. Sources: Artificial Analysis,
Same score as Claude Haiku, a third of the cost 💸 Meta's new Muse Ember, compared with the cheap-model crowd. Independent numbers from Artificial Analysis (Intelligence Index v5.0.1, published Nov 9, 2026). • Score: Muse Ember (max) 36, tied with Claude Haiku 5.5 (max). Grok 4.7 (xhigh) and Tencent Hy4 35, DeepSeek V4.1 Flash 1017 (max) 33, GPT-6 Luna (max) 28. • Cost per task: Muse Ember $0.14 vs Haiku 5.5 $0.41 (almost 3x more) and DeepSeek V4.1 Flash $0.60. • Same token prices as Haiku 5.5 and GPT-6 Luna: $0.10 input / $0.50 output per 1M. The savings come from cheaper cached input ($0.004 per 1M, 60% cheaper) and about a third as many output tokens per task (84k vs 226k for Haiku). • Coding is mixed: 40.9% vs 32.8% for Haiku on Terminal-Bench 4.0, but 27.2% vs 34.9% on FrontierCode 2.0. In Muse Code it scores 46 on the Coding Agent Index vs 37 for Haiku 5.5 in Claude Code. • Weak spot: knowledge. 21% AA-Omniscience accuracy because it declines 64% of questions, which keeps its hallucination rate at 17%, half of Haiku's. • 1M context window, text and image input. Available on Meta's first-party API and Muse Code. Takeaway: token price isn't the whole bill. Cache pricing and how many tokens a model burns per task decide what an agent really costs. Sources: Artificial Analysis, "Meta's Muse Ember is the cheapest model scoring 36 on the Intelligence Index" (Nov 9, 2026): artificialanalysis.ai/articles/meta-s-muse-ember-is-the-cheapest-model-scoring-36-on-the-intelligence-index Artificial Analysis model page: artificialanalysis.ai/models/muse-ember Run each agent task on the model with the best price. AtmoRouter is the cheapest AI API gateway: one OpenAI-compatible endpoint, 100+ models, up to 95% off official price 👉 atmorouter.dev Save this before you pick your next cheap model. #AI #LLM #Meta #MuseEmber #Claude #Haiku #GPT6 #DeepSeek #AIModels #Benchmarks #AIAgents #Developers #AtmoRouter

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