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#llm-benchmarks

10 posts

AI & Machine LearningJune 20, 20269 min
MiniMax M3: Open-Weight 1M-Context Coding Model
MiniMax M3 is an open-weight, 1M-context AI coding model with native multimodality and Sparse Attention. What its benchmarks, pricing, and license really mean.
AI & Machine LearningJune 13, 202610 min
Kimi K2.7-Code: Open Weights, First-Party Numbers (2026)
Moonshot's Kimi K2.7-Code is a 1T open-weight coding model with cheap API pricing, but every launch benchmark is first-party. Here's what's actually verified.
AI & Machine LearningJune 10, 202613 min
Claude Fable 5: Anthropic's Mythos-Class Model (2026)
Claude Fable 5 is Anthropic's most capable public model yet — a Mythos-class system at $10/$50 that quietly falls back to Claude Opus 4.8 on risky prompts.
AI & Machine LearningJune 10, 202612 min
Nex-N2-Pro: Open-Weight Coder vs GPT-5.5 (2026)
Nex-N2-Pro is a free, open-weight 397B MoE coding model from Nex AGI, built on Qwen3.5. We check its benchmarks against GPT-5.5, Opus, and rival open models.
AI & Machine LearningJune 9, 202613 min
MiniMax M3: Open-Weight Coding at 1/10 the Cost (2026)
MiniMax M3 is an open-weight coding model whose Sparse Attention runs 1M-token context at 1/20th the compute. Its benchmarks beat GPT-5.5 — with caveats.
AI & Machine LearningMay 2, 202621 min
DeepSeek V4: Open-Weight Frontier at 1/7 the Cost
DeepSeek V4 ships 1.6T MoE open weights with 1M-token context: 80.6% on SWE-bench Verified at $1.74/$3.48 per million — roughly 1/7 the output cost of Claude Opus 4.7.
AI & Machine LearningApril 24, 202612 min
GPT-5.5: OpenAI's First Retrained Base Since GPT-4.5
OpenAI released GPT-5.5 on April 23, 2026 — the first fully retrained base since GPT-4.5. Benchmarks, $5/$30 API pricing, 1M context, and Opus 4.7 compared.
AI & Machine LearningApril 9, 202612 min
Meta Muse Spark: Benchmarks and Strategy (2026)
Meta Muse Spark is MSL's first proprietary model, with top health and science benchmarks but coding gaps. Modes, scores, and what developers should know.
AI & Machine LearningApril 5, 20269 min
GPT-5.4 Beats Humans at Computer Use: What It Means
GPT-5.4 scores 75% on OSWorld, surpassing human experts at desktop tasks. What this means for AI agents, enterprise workflows, and the competition in 2026.
LLM & IntegrationMarch 8, 20269 min
GLM-4.7 Deep Dive: 358B MoE, 200K Context, $0.60/M Tokens
Zhipu AI's GLM-4.7 explained: 358B MoE architecture, 200K-token context, multimodal inputs, and $0.60 in / $2.20 out per million tokens on Z.ai.

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