Topic
Large language models - benchmarks, capabilities, and how to choose the right one.
148 resources - 131 posts, 16 tools, 1 guide

Amazon engineers replaced Sonnet 4.6 on a 20-label ticket classifier with Strands Decider, a small decision model, at about 44x lower list cost. Here is the narrow job it fits and the rollout pattern worth copying.

Muse Ember lists at $0.10 in and $0.50 out per million tokens, the same sticker as Haiku 5.5 and GPT-6 Luna. Here is what actually separates them.

Gemini 4 Carbon is Google's new frontier model: 59 on the AA Intelligence Index, $2/$10 intro pricing, but cyber-defender access only. What builders do now.

Kimi K3.1 Pro costs $2/$10 per million tokens, promises weights by Nov 4, and scores 65.7% on Terminal-Bench 4.0 (vendor-reported). The cost-per-task catch.

Mistral Large 4 weights are on Hugging Face under a modified MIT license. What the license blocks, the vLLM command, and when self-hosting beats the API.

Anthropic filed its S-1 for a Nasdaq listing under ANT. The revenue and loss figures, the risk factors that touch API users, and what to change in your stack on Monday.

Recursive's Flint is a 40B open-weight coding model with 2.5B active parameters. How to run it on Ollama and point Claude Code at it, plus the benchmark caveats.

Every scheduled AI model API shutdown through mid 2027 by month: GPT-4o on Jan 14, whisper-1 on Feb 26, Claude Sonnet 4.5 on Nov 30, plus how to migrate.

97 of 167 models we track enforce a JSON schema on output. Request shapes, schema limits and refusal handling for OpenAI, Claude, Gemini and Mistral.

DeepSeek V4.1-Flash-1017 jumps 11 points on Terminal-Bench 4.0 at the same deepseek-flash price. Benchmarks vs Opus 5, K3, GLM-5.3 and when to switch.

Codex says gpt-5.5 is not supported with a ChatGPT account because OpenAI retired it from ChatGPT sign-in on October 14. The fix and what still works.

LFM2.5-24B-A2B vs Qwen3.6-35B-A3B for local agents: Liquid wins tool-use benchmarks, Qwen wins SWE-Bench Verified. Which one to run for which job.

Ollama 0.40.4 runs decision models locally: ollama run nimble --ask answers yes/no, label and score questions with probabilities. Commands and limits.

DeepSeek 4.1 Flash as a daily coding model: what a session costs, how peak hours double the bill, why caching matters, and where the subsidy argument holds.

Which cheap model belongs under your orchestrator? Haiku 5.5 vs GPT-6 Luna as a subagent or worker: routing by prompt length, compaction, tool-call gotchas and cost per agent task.

OpenAI Decisions API costs $0.10 per million input tokens, 2.4x Jev. Pick Jev for cheap text decisions, Clef-flash for speed, Decisions API for images.

Step 5 Preview is StepFun's 600B MoE with 27B active and a 1M window. What it scores, what a session costs, and what to check before the October 15 weights.

Sonnet 5.5 is the default, Opus 5.5 is for open-ended long-horizon work, and Haiku 5.5 is for bounded steps and subagents. Prices, benchmarks, cost math.

Claude Haiku 5.5 pricing, the cliff above 100K-token prompts, the tokenizer catch, the migration steps from Haiku 4.5, and when to use it instead of Sonnet.

Mistral Large 4 is a 1T-parameter multimodal MoE with 52B active, in public preview at $0.68/$2.09 per million tokens, with open weights due end of October.

Kolibri is an Apache 2.0 English-German MoE with 78B total and 3B active parameters and a 1M context. Benchmarks, the vLLM command, and who should run it.

Cloudflare Clef and Clef-flash are Jev-compatible decision models on Workers AI. Pricing, latency and benchmarks against Jev, plus the RL fine-tuning service.

Gemini 4 Argon for developers: what Google shipped, what is verified, why access starts narrow, and what to watch before planning a migration around it.

Jeff fine-tunes Qwen3.5 and Gemma 4 into small Jev-compatible decision models on one GPU. The numbers, run commands, and where the benchmark misses real work.

GPT-6.1 Sol release guide: near-Astra scores at a fifth of Astra's price, $0.10 cache reads, verified pricing, the Astra 6.1 safety hold, and how to run it.

Claude Sonnet 5.5 costs $2/$10 per million tokens, and cache reads fell to $0.10 on October 7 - half of Opus 5.5 on every line. Pricing math and API changes.

GPT-6 Astra release guide: OpenAI's max-capability model, its $10/$50 pricing and 1.05M context, what the benchmarks do and do not say, and commands to try it.

GPT-6 in 7 minutes: what Astra, Sol and Luna are, what each tier costs per million tokens, the new API features, and how to try each one in Codex and the API.

How to use Jev from TypeSafe: every verified way to call it, the Jev + Claude Opus 5.5 coding-agent pattern, and how Laya, Kev, and Ollaya compare.

Claude Code and Codex with Meta Muse: run both agents on Muse Spark 1.3 via the Meta Model API, use OpenCode Go, or import your setup into Muse Code.

GPT-6 Sol vs Claude Opus 5.5 vs Grok 4.7 pricing: verified per-token rates, cost-per-task math and a decision guide for the September 2026 price war.

Claude Opus 5.5 costs $4/$20 per million tokens with $0.20 cache reads. SDK examples, Claude Code setup, and when to pick it over Sonnet 5.5 or Haiku 5.5.

Gemini 3.8 Live and 3.8 Live Extended Thinking are Google's audio-to-audio voice models with background tool calls. Benchmarks, pricing and how to build.

TypeSafe Jev costs $0.042 per million input tokens, output free, at 80 requests/second. Limits, benchmarks, failure modes and every way to call it, re-verified October 9.

Gemini agentic video understanding lets Flash models pick the frames, audio and transcripts to inspect, cutting tokens up to 88%. How it works and its limits.

Tencent Hy4 preview is a 770B open MoE with 49B active under Apache 2.0. Architecture, posted agentic benchmarks, OpenRouter pricing and self-hosting needs.

Gemini Omni 1.1 Flash is GA in the Gemini API with 10-second scene extension, first and last frame interpolation, 360p drafts and 4K upscaling, plus pricing.

DeepSeek V4 Flash Vision Exp guide: supported image formats, three input methods, the 384-token per-image cap, and how to run it in OpenCode today.

Ox Alpha is a free stealth model on OpenCode with 1M context. What is confirmed, where OpenCode and OpenRouter differ on retention, and how to run it.

Qwen3.8-27B is a 27B dense Apache-2.0 model that beats Opus 4.6 Max on SWE-bench Pro (61.7 vs 53.4). Benchmarks, hardware, cost and when to run it.

Grok 4.6 release guide: xAI's agent-focused update matches GPT-5.6 Sol on the AA index at the same $2/$6 pricing, and runs in Cursor and OpenCode.

LFM2.5-VL-3B is a 3B open-weights vision model from Liquid AI that reads screens, grounds objects and calls tools on a laptop. What shipped and how to run it.

Cactus open-sourced Needle 2, a 45M-parameter agentic LLM in a single 14MB binary that runs a full tool-calling session in 28MB of RAM. 500 tok/s on a Raspberry Pi 5, ESP32-S3 class parts, Apache 2.0. Here is what the benchmarks actually show.

Encrypted chain-of-thought from Anthropic, OpenAI and Google APIs can be replayed into weaker models and read verbatim. How the attack works and what leaked.

Muse Glimmer 30B is Meta's Apache 2.0 open-weight multimodal agent model that runs in 24GB. Benchmarks, hardware reality and what the numbers actually say.

Grok Imagine Image 2.0 is xAI's typography-aware image model, ranked second on text-to-image and editing leaderboards and callable via Vercel's AI Gateway.

WeatherNext Cyclones, DeepMind's open-source tropical cyclone model, adds a day of forecast lead time. What the Nature paper shows and how to run the weights.

Kimi K3 is GA in GitHub Copilot at $3/$15 per million tokens, off by default for Business and Enterprise. Rollout details and what it means for model choice.

Meta Muse Code is a terminal coding agent co-trained with Muse Spark 1.2. How the harness works and what the $0.10/$0.20 contributor tier asks in return.

OpenAI retuned GPT-5.6 Sol for ChatGPT and made GPT-5.6 Luna the Free and Go default. What changed in chat, what stayed the same in the API, and why.

LFM2.5-2.6B is an open-weight on-device agent model from Liquid AI that runs in under 2.5 GB. How it was trained, what the benchmarks say and how to run it.

Qwen 3.8 Max is a 2.4T-parameter MoE with 95B active, a 1M context window and $2/$6 per million tokens on QwenCloud, with open weights promised next week.

Gemini 2.5 Pro and Gemini 3 Flash are deprecated in GitHub Copilot. What GitHub suggests instead, the October follow-up deprecations, and how to migrate.

AI session portability: sealed reasoning, opaque compaction and hidden subagent messages are replacing portable transcripts. Five tests and seven rules for it.

Claude Haiku 5.5 and GPT-6 Luna both list at $0.10/$0.50 per MTok. The price tie breaks at Haiku's 100K cliff, and Anthropic's benchmarks favor Haiku. Checked Oct 8, 2026.

Claude Mythos Preview explained: Anthropic's gated frontier model, who got access through Project Glasswing, what it found, and where the model line went next.

DeepSeek V4 Flash 0731 was re-post-trained for agent work. Its benchmark numbers, native Responses API and Codex support, and how to wire it up today.

DeepSeek V4 Flash 0731 is the official V4 Flash API release, re-post-trained to beat V4-Pro-Preview on agent benchmarks. How to run it in OpenCode today.

Inkling-Small is a 12B-active, Apache 2.0 open-weights MoE that beats the 975B Inkling on agentic coding and tool use at a quarter of the size.

MiniMax H3 turns text, image, video and audio into video with native stereo sound. API from 0.80 CNY per second at 2K, and open weights are on Hugging Face.

Gemini Robotics 2 from Google DeepMind brings whole-body humanoid control, dexterous hands and multi-robot teamwork. The models, the numbers and the HN debate.

OpenAI slashes GPT-5.6 Luna by 80% to $0.20/M input tokens, cuts Terra by 20%, adds Sol Fast mode at 2.5x speed, and reveals Sol autonomously optimized its own production kernels.

Grok 4.5 in 10 minutes: xAI's flagship model with a 500K context window, function calling, structured outputs and build-mode agents, plus verified pricing.

Fable 5 effort levels vs switching models: effort spends more of one model's ceiling, a model switch buys a new one. When to move each dial.

Kimi K3 open weights are on HuggingFace: 2.8T parameters, 1M context, native MXFP4 and a ~1.63TB download. The specs, license terms and HN reaction.

Claude Opus 5 benchmarks, pricing and HN reaction: near Fable 5 performance at the Opus 4.8 price, and what it means for choosing a daily-driver model.

Claude Opus 5 for developers: what changed from Opus 4.8, the breaking API changes to migrate, and when Opus 5 is the right default over Fable 5.

A new multi-model orchestration system routes requests across open-weight models to match frontier performance at reduced inference cost. Here is what we know.

FLUX 3 from Black Forest Labs is one multimodal model for image, video, audio, and robot actions. What it does, how it works, and how to try it.

Kimi K3 from Moonshot AI is a 2.8T open model with a 1M-token context and an OpenAI-compatible API. How to call it, what it costs, and how it benchmarks.

Where to access Kimi K3: Moonshot's API at $3 input and $15 output per million tokens, OpenRouter hosts, inference clouds, and open weights.

Kimi K3 developer guide: the 2.8T-parameter model's 1M-token context, native vision, API pricing and open-weights timing, and how it fits coding agents.

Kimi K3 vs K2.7 Code: 1M vs 256K context, $3/$15 vs $0.95/$4 per million tokens, and when the bigger model earns its price on coding work.

Kimi K3 is Moonshot's 2.8T-parameter model with a 1M-token context and Delta Attention. Pricing, HN reactions and where it fits among frontier models.

A new American open-weights frontier model with multimodal capabilities, 1M token context, and competitive benchmarks. Here's what the HN community thinks.

PrismML's Bonsai 27B uses 1-bit quantization to compress a 27B model to 3.9GB - small enough to run on an iPhone. Here's how it works and what HN thinks.

Claude Fable 5 in 7 minutes: a companion guide to the video review covering benchmarks, pricing, availability, demos and hands-on developer takeaways.

GPT-5.6 vs Claude 5 for coding: how OpenAI's Sol, Terra, and Luna tiers compare with Claude Fable 5 and Mythos 5 on pricing, benchmarks, and model choice.

Grok 4.5 for developers - $2/$6 per million tokens, a 500k context window, vendor benchmarks with caveats, and when to pick it over Claude, GPT, or Gemini.

Tencent's Hy3 ships 295B parameters but activates only 21B per token, matching flagship performance at flash-tier pricing under Apache 2.0.

Grok 4.5 coding model from xAI, trained on Cursor data: $2/M input pricing, benchmarks near Opus 4.7, the CursorBench caveat, and the Hacker News reaction.

Meta Muse Image is live in Meta AI but has no public model API. What the launch confirms, what is still preview-only, and how developers should evaluate it.

Meta Muse Spark 1.1 developer guide: Meta's first paid model API, with 1M-token context, OpenAI-compatible endpoints, pricing and setup for agentic tasks.

Meta Muse Spark 1.1 is Meta's first paid, closed-weights API model, with $1.25/M input tokens and 1M context. The pricing, benchmarks and HN debate.

GLM 5.2 and the AI margin collapse thesis: why open-weights models could squeeze frontier lab margins, where HN pushes back, and what it means for model choice.

Claude Sonnet 5 migration guide: the three breaking API changes from Sonnet 4.6, the new effort parameter, tokenizer impact and when to use each effort level.

Claude Sonnet 5 vs Sonnet 4.6: near-Opus 4.8 results on coding and agents, but a new tokenizer uses about 30% more tokens. The upgrade decision, with numbers.

Fable 5 agent fleet operations: 30-day retention limits, refusal-rate alerting, per-role effort tuning, observability and availability planning for production.

Fable 5 is back after a US export-control suspension. What the Anthropic model is, the specs and refusal behavior to handle, and when to pick Opus 4.8.

Fable 5 vs Opus 4.8 as your agent fleet orchestrator: a fair head-to-head with a decision matrix by run length, budget, compliance and refusal tolerance.

GLM 5.2 in 9 minutes: a companion guide to the video on the open-weight GPT-5.5 rival, covering benchmarks, pricing and a live OpenCode demo.

GPT-5.5 in 7 minutes: a companion guide to the video review of the new OpenAI model in ChatGPT and Codex - benchmarks, Codex agents, context window and pricing.

Anthropic releases Claude Sonnet 5 with improved agentic capabilities, better tool use, and an introductory pricing deal. Here's what developers need to know.

Switzerland's fully open foundation model promises transparent training data and EU compliance. The HN crowd has questions about actual performance.

Sakana Fugu Ultra claims frontier performance by orchestrating models instead of one giant model. What the benchmarks show, what is novel, what needs proof.

Sakana Fugu makes a timely argument for model routing: frontier performance should come from swappable systems, not a hard dependency on one proprietary API.

Sakana Fugu Ultra is a learned orchestration layer routing work across expert models behind one API - a serious case for multi-model AI over one giant model.

Codex only speaks the Responses API now. Tested config.toml blocks for GLM-5.3, Mistral Large 4 through a gateway, local Ollama and an internal proxy.

Model routers turn having no single winning model into an advantage: how routing works, why open weights and neoclouds make it cheap, and the counter-argument.

GLM-5.2 cost math: when Z.ai's open-weights coding model actually saves money, with per-token pricing, a worked cost-per-task example and a decision guide.

Model routing recipes with paste-ready OpenRouter and LiteLLM configs for task tiers, fallback chains, cost ceilings and cache-aware routing that cut AI spend.

OpenRouter Fusion turns multi-model panels into an API feature. Use it as an escalation lane for prompts where a wrong answer is expensive, not as the default.

Anthropic's docs say the tokenizer introduced with Opus 4.7 can use up to 35% more tokens for the same text. Here is what that does to per-request cost, max_tokens, and cross-model comparisons.

Fable 5 1M context workflows that actually work: whole-repo reviews, log archaeology, multi-doc synthesis - plus the honest math on when RAG still wins.

Claude effort levels explained: what low, medium, high, xhigh and max change on Fable 5, Opus 5.5 and Haiku 5.5, each default, and what a level costs.

Fable 5 long-running requests can run for minutes per turn and hours per run. Configure client timeouts, streaming keepalive, batch polling and background jobs.

A practical playbook for running Claude Fable 5 as the orchestrator over Sonnet and Haiku workers, with verified cost math on when the premium pays off.

Frontier AI model directory for July 2026 covering Claude Fable 5, Opus 5, GPT-5.6, Sonnet 5, Gemini 3.1 Pro, Kimi K3 and DeepSeek V4, with verified pricing.

How to use Claude Fable 5 via claude.ai plans, the Claude API, Amazon Bedrock, Vertex AI and Microsoft Foundry, with model IDs, setup effort and prompt tips.

Claude Fable 5 latency measured: 109 seconds to first token at max effort vs 1.4s for Sonnet 4.6. When slow is fine, when it hurts, and how to route around it.

Migrating off retired GPT models in 2026: the live retirement table, what maps to what, an eval-before-switch day plan, and when to jump providers.

Qwen 3.7 Max developer guide: the 1M token context window, pricing, Anthropic and OpenAI-compatible API, benchmarks, and when to pick it over Claude or GPT.

Twelve documented Claude Fable 5 use patterns - agent orchestration, overnight runs, 1M-context refactors, effort tuning - each with a how-to seed and doc link.

Anthropic's model names: Haiku, Sonnet, Opus, then Fable and Mythos. What each tier means, the current model IDs and prices, and which one to pick.

Apple's LanguageModel protocol lets iOS and macOS apps swap Claude, Gemini, or local models with one dependency change. What it means for model lock-in.

Fable 5 posts an 80.3% SWE-Bench Pro score and costs 2x Opus 4.8 - here is the task-profile scoring guide that tells you when the premium pays off.

Claude Mythos 5 explained - how it differs from Fable 5, who gets unrestricted access through Project Glasswing, and what developers should do right now.

Which AI coding changes matter: a layer-by-layer filter for model, IDE, CLI, background agent, framework, UI, context, security, and pricing updates.

The models.dev project is trending because AI teams need one boring source of truth for model specs, pricing, context windows, modalities, and tool support.

DeepSeek V4 brings near-frontier coding at a much lower token price. Where cheap reasoning fits in a coding agent stack, from code review to repo mapping.

DeepSeek V4 developer guide: Flash vs Pro, pricing, OpenAI SDK setup with thinking mode and tool calling, and when to pick V4 over Claude or GPT.

Nemotron 3 Super developer guide: the latent MoE hybrid Mamba architecture, hardware needs, reasoning modes, and code to run NVIDIA's 120B model.

Anthropic's Claude Haiku 4.5 delivers Sonnet 4-level coding performance at one-third the cost and twice the speed. Here is what developers need to know.

DeepSeek R1 and V3 developer guide: use the MIT-licensed models through the API, run them locally with Ollama and decide when they beat closed-source models.

Llama 4 developer guide to Scout and Maverick, the open mixture-of-experts models from Meta: run them locally, call them via APIs and know when to pick them.

Claude vs GPT for real TypeScript work: benchmarks, pricing, model families, and the practical differences that matter when picking a coding model.

A developer's comparison of OpenAI and Anthropic ecosystems - models, coding tools, APIs, pricing, and which to choose for different use cases.

NVIDIA Nemotron 3 Super combines latent mixture of experts with hybrid Mamba layers - 120B total parameters, 12B active per token, 1M context and open weights.

xAI has launched Grok 4, claiming the title of the world's most powerful AI model. With a $300/month Super Grok tier, saturated AMI benchmarks, and a coding model on the horizon, this is xAI's bigge...

Qwen 3 is Alibaba's family of eight Apache 2 licensed models, led by a 235B MoE flagship. How it compares to Llama 4, how hybrid thinking works, how to run it.

xAI's Grok 3 launch explained: the 200,000-GPU cluster, benchmarks against GPT-4o and Sonnet 3.5, the reasoning modes, and what it all means for developers.
Anthropic's model family. As of October 2026: Opus 5.5 as the default, Fable 5.1 for the hardest long-horizon work, Sonnet 5.5 for speed, Haiku 5.5 for cost. 1M context. Max from $100/mo.
AI ModelsOpenAI's chat app. As of October 2026 Free and Go run GPT-6 Luna; Plus ($20/mo) adds GPT-6.1 Sol and GPT-6 Astra. Agent mode, Codex, image generation, code interpreter.
AI ModelsUnified API for hundreds of models. One API key, one billing dashboard. OpenAI, Anthropic, Google, Meta, Mistral, and more. Automatic fallbacks and load balancing.
AI ModelsChinese lab shipping open-weight MoE models. The V4 family (previewed April 24, 2026) runs a 1M context on DeepSeek's API; R1 (2025) popularized open reasoning models. Low-cost API.
AI ModelsMeta's open-weight model family. Llama 4, released April 5, 2025, comes in Scout (109B total, 17B active) and Maverick (400B total, 17B active). Commercial use under the Llama license.
AI ModelsEuropean open-weight models. Mistral Large for complex tasks, Mistral Small for speed, Codestral for code. Strong multilingual support. Open and API options.
AI ModelsOpenAI's GPT-5 model, released August 2025. Unified fast and reasoning modes in one model. Superseded by the GPT-6 family in September 2026 and now marked deprecated in the API.
AI ModelsGoogle's model family. As of October 2026 Gemini 4 Argon (GA October 13, 1M token context) is the flagship for coding and agents, with Gemini 3.8 Flash (free tier in AI Studio) as the fast, cheaper option.
AI ModelsxAI's model family, now documented under the SpaceXSI (SpaceX Super Intelligence) name. Grok 4.7 (September 21, 2026) has a 500K context at $2/$6 per million tokens. OpenAI-compatible API.
AI ModelsAnthropic's smallest Claude 4.5 model, released October 2025 and succeeded by Haiku 5.5 in October 2026. Sonnet 4-level coding at one-third the cost. $1/$5 per million tokens.
AI ModelsAlibaba's open-weight coding model, released in 2025. 480B total parameters, 35B active (MoE). Native 256K context, extends to 1M. Apache 2.0 license. Built for agentic coding.
AI ModelsDeepSeek's reasoning-first model built for agents. First model to integrate thinking directly into tool use. Ships alongside V3.2-Speciale, which rivals GPT-5 and Gemini 3.0 Pro.
AI ModelsAnthropic's Opus model released April 2026, since succeeded by Opus 4.8 and Opus 5.5. Strong at coding, long-context analysis, and agentic work. 1M context, $5/$25 per million tokens.
AI ModelsAnthropic's first generally available Mythos-class model, released June 9, 2026. 1M context, 128K max output, $10/$50 per million tokens. Built for long-horizon agentic work.
AI ModelsAnthropic's Opus model released May 28, 2026, and its recommended default until Opus 5.5 shipped in September 2026. 1M context, 128K output, $5/$25 per million tokens.
AI ModelsDeepSeek's open-weights frontier family, previewed April 24, 2026. V4-Pro is 1.6T total / 49B active params; V4-Flash is 284B / 13B. 1M context standard. Weights on Hugging Face.
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