AI Industry Reports
Data-driven analysis of AI model performance, pricing trends, and market dynamics. Reports will be published regularly with the latest rankings and benchmarks.
GPT-5.6: OpenAI's Sol, Terra, and Luna Three-Tier Family
OpenAI shipped GPT-5.6 as a three-tier family - Luna ($1/$6), Terra ($2.50/$15), and flagship Sol ($5/$30), all with a 1.05M-token context. We break down the verified Terminal-Bench 2.1, Agents' Last Exam, and SWE-Bench Pro numbers, the new agent-first API, the pricing ladder, and where each tier lands in our live rankings.
Read reportClaude Fable 5: Anthropic's Mythos-Class Model Goes Public
Fable 5 tops SWE-bench Verified at 95% and brings Mythos-level capabilities to all developers at $10/$50 per million tokens. We break down the benchmarks, safety architecture, pricing economics, and real-world deployment results from the official system card.
Read reportHUMAIN's ALLaM: The Saudi Arabic-First AI Stack
A primary-source deep dive into HUMAIN's ALLaM, the Arabic-first model family from Saudi Arabia's national AI champion. We cover the four public variants, the architecture from Hugging Face config files, the 1.2T token bilingual pretraining mix, and every access channel from Hugging Face to IBM watsonx to Azure AI Foundry to HUMAIN Chat.
Read reportClaude Mythos: Anthropic's Most Powerful Model Explained
Anthropic's Claude Mythos was revealed through a data leak and officially previewed on April 7 via Project Glasswing. We break down the confirmed benchmarks, cybersecurity capabilities, the 40+ partner consortium, and what this means for the AI model landscape.
Read reportLLM Knowledge Bases: Karpathy's Self-Improving Second Brain
Andrej Karpathy shared his workflow for building personal knowledge bases with LLMs - no RAG needed. We break down the six-stage pipeline, explain why it works without vector databases, and identify the best models for each step.
Read reportQwen 3.6 vs Gemma 4: Head-to-Head Comparison
Two major model releases on the same day. We compare Alibaba's Qwen 3.6-Plus and Google's Gemma 4 31B across scores, pricing, context windows, open-source licensing, and real-world coding performance.
Read reportGemma 4 Review: Google DeepMind's Open-Weight Challenger
Google DeepMind launches Gemma 4 31B under Apache 2.0 with multimodal capabilities and a 256K context window. We test benchmark performance, evaluate the open-source advantage, and rank it against closed-source competitors.
Read reportQwen 3.6-Plus Review: Alibaba's New Flagship Model
Alibaba releases Qwen 3.6-Plus with agentic coding, 1M token context window, and a free tier. We benchmark it against the top coding models and analyze where it stands in the April 2026 rankings.
Read reportState of AI Coding Models Q1 2026
Claude Opus 4.6 and GPT-5.2 are locked in a tight race for the top coding model. This report breaks down SWE-bench, HumanEval, and real-world developer surveys to determine which model ships the best code in 2026.
Read reportImage Generation Market Report
FLUX 1.2 Pro and Midjourney V7 have redefined photorealism. We compare quality, speed, pricing, and enterprise adoption across 12 image generation models to find the best fit for every use case.
Read reportVideo AI: From Novelty to Production
Video generation has matured from short clips to full production-quality output. This report covers Sora, Runway Gen-4, Kling 2.0, and Veo 3 with benchmarks on consistency, motion quality, and cost per minute.
Read reportThe Rise of Mixture-of-Experts
MoE architectures power some of the best-value models on the market: DeepSeek V3.1, Qwen 3.5, and Llama 4 Maverick. We analyze how sparse routing reduces cost while maintaining frontier performance.
Read reportAI Pricing Trends: Race to the Bottom
Input token pricing has dropped 85% in 18 months. This report tracks pricing changes across all major providers, identifies the best value at each tier, and forecasts where prices are headed next.
Read reportContext Windows: The Long-Context Revolution
From 4K to 2M tokens in two years. We test how models actually perform at extreme context lengths with needle-in-a-haystack evaluations, real document QA, and multi-file code analysis across 10 leading models.
Read reportAbout Our Reports
LM Market Cap reports are generated from real-time data across 60+ AI models. Our composite scoring methodology combines benchmark performance, community sentiment, Elo ratings, adoption metrics, and cost efficiency. All data is publicly verifiable.