AI model leaderboard · LinkWord

Anthropic's latest Fable series model, same $10/$50 pricing with incremental performance gains

Anthropic's most advanced flagship model with industry-leading reasoning and safety features

Moonshot AI's latest flagship model. 2.8T-parameter MoE (16/896 experts active), 1M context window, native vision. AA Intelligence Index #4, trailing only Fable 5 and GPT-5.6 Sol. Open weights releasing July 27.

Google's Flash-tier workhorse model released Aug 13, 2026 for coding and agents, intro-priced at half of 3.6 Flash's original rate ($0.75/$3.75 per 1M tokens). FrontierCode 1.1: 43.6%, DeepSWE v1.1: 65.3%.

Alibaba Qwen's upgraded snapshot of Qwen3.8-Max. Leads Code Arena at 1691 points, surpassing Claude Opus 5 max. Enhanced coding and multi-tool orchestration. 1M context, priced at $2/$6.

Meta's latest Muse Spark, 1M context, multimodal, priced at $1.25/$4.25

Meta Muse Spark 1.2 multimodal model with 1M context, successor to Muse Spark 1.1

Fast-mode variant of Claude Opus 5 with identical capabilities, ~2.5x faster output at 2x base pricing ($10/$50 per M tokens), 1M context, ideal for latency-sensitive long-horizon agentic work

Meta's flagship multimodal reasoning model with 1M-token context, built for agentic tasks, coding, and computer use

Upgraded DeepSeek V4 Pro, 1M context, 1041 HN points, community says beats GPT-5.5 Pro on precision

Zhipu AI's latest flagship model with strong bilingual understanding and reasoning performance

Fastest, most affordable GPT-5.6 model. API price cut 80% on 2026-07-30 ($0.20/M input, $1.20/M output), near-frontier performance at roughly 6 cents on the dollar per task. Supports tools and multi-step workflows.

Anthropic's previous-generation flagship model with strong reasoning and long-context capabilities

Google lightweight flagship model with built-in Computer Use, function calling, Search/Maps Grounding — ideal for agent scenarios

Google's latest Flash model optimized for long-horizon software engineering and autonomous agents. Outperforms larger frontier models on DeepSWE v1.1, 54.9% on HLE-Verified. 1M context, priced at $0.75/$3.75 (promo through end of 2026).

Lightweight GLM-5.3, 1.3M context, ultra-cheap $0.15/$0.50, 1132 HN points, community says better than DeepSeek

3B dense reasoning model. AIME26: 94.3, based on Qwen2.5. Uses Spectrum-to-Signal post-training. No tool calling support, focused on math and code reasoning.

DeepSeek V4 Flash Vision experimental, multimodal input support, extremely low pricing

Z.ai lightweight chat model, 1.3M context, ultra-low pricing $0.07/$0.25 per 1M tokens

xAI's latest coding and agentic model based on 1.5T V9 foundation, 500K context, $2/$6/M tokens, coding performance competitive with GPT-5.5

ByteDance Seed 2.1 Turbo model, 262K context, fast speed and low pricing

Cursor AI IDE built-in Agent coding mode, 256K context

Anthropic Claude Sonnet series, mid-to-high-end reasoning model

Windsurf full-stack AI coding assistant, 200K context

Xiaomi MiMo-V2.5 Pro on-device LLM

Qwen3.8 series open model (released Aug 14, 2026, Apache 2.0): 27B dense multimodal model with native image/video understanding, 262K native context (extendable to 1M via YaRN), Gated DeltaNet hybrid architecture, thinking mode on by default and toggleable per request. SWE-bench Pro 61.7, QwenSWEBench 79.0, DeepSWE 1.1 42.2, LiveCodeBench v6 90.3, OSWorld 84.3 - beats Claude Opus 4.6 Max on multiple coding and agent benchmarks. Runs locally on consumer hardware (~48 tps q4km on a 4090).

Meta Superintelligence Labs' open 30B on-device agentic model (Apache 2.0), distilled from Muse Spark, quantized to under 20GB for single-GPU local runs, with multimodal input and tool calling.

OpenAI GPT-4o multimodal model with 128K context

Meta's mid-size multimodal model, 131K context, $0.30/$1.10

Alibaba's flagship Qwen model with improved instruction following and tool use

Zhipu AI GLM series previous-gen flagship, 200K context

Cursor Composer 2 AI coding assistant

Google DeepMind lightweight Gemini model with 1000K context

Alibaba Qwen3.5 397B parameter large model

OpenAI's compact model in the GPT-5.4 series, optimized for efficiency

Open-weights MoE from Thinking Machines Lab, 276B total/12B active, comparable performance to Inkling at a quarter of the size. Native audio+image reasoning, variable thinking effort, up to 1M context. Highest-scoring open-weight model on ARC Prize.

xAI previous-gen Grok model with 1000K context

ByteDance Seed 2.0 Code model optimized for frontend development, multilingual coding, and agentic coding

Poolside coding-specialized agent model, 118B-A8B MoE, 1M context, Terminal-Bench 70.2%, DeepSWE 40.4%, focused on autonomous long-horizon engineering work

NVIDIA's most capable open-weight model with strong benchmark performance

Anthropic lightweight fast model with 200K context

Inception's diffusion language model, ultra-fast inference, 260K context, $0.04/$0.15

Mistral AI's specialized coding model, optimized for code generation, completion, and refactoring across multiple programming languages

OpenAI's compact model in the GPT-5.4 lineup, designed for rapid inference and cost-efficient deployment

Nex-N2-Pro is an agentic mixture-of-experts model from Nex AGI, with 17B active / 397B total parameters. Built on Qwen3.5 architecture, supports text and image input, 262K context window. Extremely cost-effective at $0.25/M input tokens.