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AI行业报告

基于数据驱动的AI模型性能、价格趋势和市场动态分析。报告将定期发布,包含最新排名和基准测试数据。

BreakingJul 9, 2026

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.

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ReviewJun 9, 2026

Claude 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.

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Deep DiveApr 9, 2026

HUMAIN'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.

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BreakingApr 7, 2026

Claude 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.

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GuideApr 3, 2026

LLM 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.

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ComparisonApr 3, 2026

Qwen 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.

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ReviewApr 3, 2026

Gemma 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.

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ReviewApr 3, 2026

Qwen 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.

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LLMMar 1, 2026

State 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.

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ImageFeb 20, 2026

Image 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.

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VideoFeb 12, 2026

Video 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.

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ArchitectureJan 28, 2026

The 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.

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PricingJan 15, 2026

AI 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.

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ContextJan 5, 2026

Context 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.

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关于我们的报告

LM Market Cap的报告基于60多个AI模型的实时数据生成。我们的综合评分方法结合了基准测试表现、社区评价、Elo评分、采用指标和成本效率。所有数据均可公开验证。