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Hacker News - Newest: "LLM"

GitHub - lechmazur/position_bias: A benchmark for testing whether LLM judges keep the same preference when two lightly edited versions of the same story are shown in opposite orders. Flex routing (EU and EFTA) Dark Factories: Retooling for LLM Velocity Ask HN: What would be the impact of a LLM output injection attack? GitHub - AronDaron/dataset-generator: No-code desktop app for generating high-quality synthetic datasets to fine-tune LLMs — plan-then-execute pipeline, LLM-as-judge, HuggingFace upload. GitHub - Oaklight/llm-rosetta: Production-ready LLM API translation layer for Python — bidirectional conversion between OpenAI, Anthropic & Google formats via hub-and-spoke IR. Optional API gateway. Streaming & non-streaming. Zero core deps. Contributions welcome! GitHub - browser-use/browser-harness: Self-healing browser harness that enables LLMs to complete any task. GitHub - moeen-mahmud/remen: Remen turns thoughts into something you can return to Analyzing 156 LLM Launch Posts on Hacker News ChatGPT vs Gemini vs Claude: The Best LLM Subscription You Should Buy GitHub - salaamalykum/quran-semantic-search: High-density RAG Semantic Search Engine & Quran Corpus (GEO/SEO Architecture) GitHub - NVIDIA/TensorRT-LLM: TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way. The State of LLM Bug Bounties in 2026 Operational Readiness Criteria for Tool-Using LLM Agents Meshcore: Architecture for a Decentralized P2P LLM Inference Network How an LLM becomes more coherent as we train it GitHub - seetrex-ai/laimark GitHub - Jossifresben/BibCrit: AI-assited biblical textual criticism GitHub - wastedcode/memex: File system based wiki, maintained by Claude 99helpers.com GitHub - cliver-project/AITrigram GitHub - unbody-io/adapt: A self-evolving memory layer for AI agents. GitHub - hb20007/awesome-gen-ai-fails: A list of incidents where reliance on generative AI and LLMs resulted in harm to companies, individuals, or society GitHub - nevenkordic/localmind: Run any local LLM with persistent memory and context. CLI agent over Ollama with SQLite-backed hybrid recall. No cloud. Ask HN: What are the machine requirements for a LLM like Llama-3.1-8B? Faster LLM Inference via Sequential Monte Carlo grpo explained: group relative policy optimization for llm finetuning - cgft Stop comparing price per million tokens: the hidden LLM API costs · TensorZero Andrej Karpathy's LLM Wiki Is a Bad Idea GitHub - GG-QandV/mnemostroma: Offline RAM-first cognitive leer/coprocessor for AI agents and robotics. Solves "Context Abandonment" with 20-80ms latency using a dual-thread biomimetic memory architecture (ONNX + SQLite WAL). mempalace/agent at agent · skorotkiewicz/mempalace GitHub - Nyquest-ai/nyquest-rust-fullstack-pub: Nyquest — Semantic Compression Proxy for LLMs. 350+ rules, local LLM stage, 15-75% token savings. Full Rust stack. GitHub - TheoV823/mneme: Enforce architectural decisions in AI-assisted development. GitHub - klemenvod/TokenBrawl: A 1v1 Bomberman-style game where two LLM agents play autonomously against each other. No human plays — you watch the AIs fight. Each agent receives a text description of the board state, reasons about it, and outputs a move as JSON. The game engine executes it. Introducing the Common AI Provider: LLM and AI Agent Support for Apache Airflow Power Circuit AI: Designing Power Electronic Circuits for Motor Drives with Generative Artificial Intelligence Ask HN: How to program with IDE and LLM on CPU locally? Show HN: Agent-cache – Multi-tier LLM/tool/session caching for Valkey and Redis Bonsai 1-bit WebGPU - a Hugging Face Space by webml-community The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows Ask HN: Simple tooling for local LLM code critique without IDE integration? Can a General LLM Diagnose a DICOM Slice? A 10-Case Public Benchmark Charts-of-Thought: Enhancing LLM Visualization Literacy (PDF, 2026) GitHub - Mesh-LLM/mesh-llm: Distributed AI/LLM for the people. Share compute privately or publicly to power your agents and chat. GitHub - seamus-brady/springdrift: A persistent runtime for long-lived LLM agents Writing an LLM from scratch, part 32k -- Interventions: training a better model locally with gradient accumulation Ask HN: Which LLM model and agentic CLI are you using for local development? GitHub - wayneColt/modelcascade: Route local. Escalate smart. Never overspend. Open-source multi-model cascade routing for autonomous agents. LLM pricing is 100x harder than you think GitHub - asakin/llm-primer: Pre-warmed Claude Code sessions in tmux. No startup wait. GitHub - EggerMarc/chat-rs: A multi-provider LLM framework for Rust. GitHub - SynapseKit/SynapseKit: Minimal, async-first Python framework for production LLM apps- 2 hard deps, no magic, no SaaS. A Claude Skill that Makes LLM Paragraphs More Bearable Does Gas Town 'steal' usage from users' LLM credits & paid services to improve itself? What's Claude Code Actually Doing? Open the Black Box with the Arthur Engine Milla Jovovich's New Open Source LLM Memory App and the Dark Code Problem Your intuition of LLM token usage might be wrong Show HN: Bloomberg Terminal for LLM ops – free and open source GitHub - 0xchamin/mcptube: Transform YouTube videos into a compounding knowledge base with transcripts, vision analysis, and agentic search. Works as an MCP server for Claude, Copilot & more. Show HN: Open KB: Open LLM Knowledge Base Your LLM is a compiler, not a runtime GitHub - sapountzis/Unslop: A Web Feed That Deserves You crates.io: Rust Package Registry Beyond Karpathy's LLM-Wiki: The Necessity of Cognitive Governance GitHub - amitshekhariitbhu/llm-internals: Learn LLM internals step by step - from tokenization to attention to inference optimization. GitHub - parallem-ai/parallem: An expressive library for running agents with the Batch API. GitHub - stfurkan/pi-llm LLM-Wiki Show HN: Formal – Formal verification for AI-generated code using Lean 4 LRTS – Regression testing for LLM prompts (open source, local-first) LLM Wiki Skill: Build a Second Brain with Claude Code and Obsidian I built an LLM Wiki and RAG solution: here's a demo for a security KB The biggest advance in AI since the LLM Predict-Rlm: The LLM Runtime That Lets Models Write Their Own Control Flow the-synthetic-library/the-synthetic-mind at main · joshferrer1/the-synthetic-library GitHub - yisding/reviewwiggum GitHub - Donnyb369/mcp-spine: Context Minifier & State Guard — Local-first MCP middleware proxy GitHub - Beledarian/wgpu-llm: A from-scratch LLM inference engine that uses wgpu (the cross-platform WebGPU implementation) to dispatch WGSL compute shaders for every math operation a Transformer needs. No CUDA. No Python. No massive framework dependencies. Just Rust, raw shaders, and your GPU. GitHub - anitiue/Hindsight: An experience-driven self-improvement framework for LLM agents — 基于经验的 LLM Agent 自我改进框架 GitHub - stef41/lmscan: 🔍 Detect AI-generated text and fingerprint which LLM wrote it. Open-source GPTZero alternative. Zero dependencies, works offline. GitHub - alainnothere/AmdPerformanceTesting: Amd Performance Testing Ask HN: Is a purely Markdown-based CRM a terrible idea? Optimized for LLM agents Context Engineering - LLM Memory and Retrieval for AI Agents | Weaviate little_helper_tui/letter.md at main · sleepyeldrazi/little_helper_tui GitHub - EvanZhouDev/umr: The Unified Model Registry for all your local AI apps. GitHub - JordanCT/VigIA-Orchestrator Your Agent Is Mine: Measuring Malicious Intermediary Attacks on the LLM Supply Chain A Taxonomy of RL Environments for LLM Agents Llama LLM Network Feture GitHub - genedeng-ca/ai-mac-migration: AI-powered Mac-to-Mac migration tool - replace Apple Migration Assistant with intelligent, selective transfer using local LLMs GitHub - lunargate-ai/gateway: High-performance self-hosted AI gateway (OpenAI-compatible) with routing, retries, and streaming GitHub - AuthBits/webmcp: A lightweight, prompt-driven MCP web research server for high-quality LLM powered information extraction. Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering Springdrift: An Auditable Persistent Runtime for LLM Agents with Case-Based Memory, Normative Safety, and Ambient Self-Perception High-Stakes Personalization: Rethinking LLM Customization for Individual Investor Decision-Making From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents HUOZIIME: An On-Device LLM-enhanced Input Method for Deep Personalization TIDE: Token-Informed Depth Execution for Per-Token Early Exit in LLM Inference Characterizing WebGPU Dispatch Overhead for LLM Inference Across Four GPU Vendors, Three Backends, and Three Browsers LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users
AkaRouter — AI Inference Gateway
mrdedatn · 2026-06-22 · via Hacker News - Newest: "LLM"

[SYS_STATUS]: GATEWAY_ONLINE_READY

CLAUDE MAX 20X
$200/MO $20/MO

Same Opus 4.8. Same prompt size limits. 91% cheaper.
Pay-per-request. One API key. Every frontier model.

* Every signup ships with 100 free points on 1pt models (10/day cap). No credit card.

from openai import OpenAI

client = OpenAI(
  base_url="https://api.akarouter.dev/v1",
  api_key="akar_your_key_here"
)

response = client.chat.completions.create(
  model="step-37-flash",
  messages=[{"role": "user", "content": "Hello AkaRouter!"}]
)

Why pay 5x–90x more for the same model?

Same upstream models. Same prompts. Same response quality. AkaRouter routes you to the same providers the big guys use — we just don't mark it up 50x.

Feature

AkaRouter

Pro $20/mo

Claude Max 20x

$200/mo

ChatGPT Pro

$200/mo

OpenRouter

pay-as-you-go

Per-call cost (Opus 4)$0.08$0.90N/A$0.45+
Opus 4 calls on $20250~220 (no API)~44
API access (Claude Code, scripts)
Multi-provider (Anthropic + OpenAI + Google)
Flat per-call (no token math)
Same price for 5K or 200K promptmixed
Free frontier model included
One key, every modelClaude onlyOpenAI only
OpenAI-compatible (any client)

the billing model that makes sense

Pay per request. Not per token.

Most APIs charge per million tokens. We charge per call — flat. Same price whether your prompt is 500 words or 200,000 tokens.

Pay-per-token (OpenRouter, direct APIs)

5K-token prompt$0.025

50K-token prompt (medium Claude Code)$0.25

200K-token prompt (full context Opus)$1.00+

Same question, 40x cost variance

Every time you stuff more code into context, you pay more. Every long doc. Every large repo clone. Token anxiety is real.

No token math

Don't calculate input/output token splits. Don't estimate cost before every request. Just call the model.

Use full context

Stuff the whole codebase in. Drop in 10 PDFs. Use the full 200K Opus window without a calculator.

Predictable bills

100 Opus calls = $8. Always. Same on Monday, same on Sunday. No surprise overages.

* Per-call pricing applies as long as your prompt fits within the model's documented context window. Hit the limit? Split your request — or upgrade to a model with a bigger window.

full pricing transparency

Every model. Every point cost.

No hidden tiers. No "premium" markups. The whole menu, at the price you'll actually pay.

ModelTierPoints/callPro $19.99/moUltra $99.99/moBest for

MiniMax M350% off

frontier, free to us

free

1

2

2.5k calls7.5k callsfrontier reasoning, daily driver

Nemotron Ultra

free-tier alternative

free

1

2.5k calls7.5k callshigh-volume free tier

Claude Haiku 4.5

fast + cheap

free

1

2.5k calls7.5k callslightweight tasks, quick Q&A

Claude Sonnet 4.6

workhorse

T1

2

1.3k calls7.5k callscoding, mid-complex reasoning

GPT-5.4

multimodal

T1

2

1.3k calls7.5k callsvision + reasoning + tools

Gemini 3.1 Pro

1M context, multimodal

T1

2

1.3k calls7.5k callshuge context, video, audio

GPT-5.5

flagship OpenAI

T2

3

1.3k calls3.8k callsagentic workflows, code gen

GPT-5.3 Codex Spark

coding specialist

T2

3

1.3k calls3.8k callslarge code refactors

Step 3.7 Flash

instant answers

T2

3

1.3k calls3.8k callsinstant answers, free daily pool

Owl Alpha

experimental preview

T3

10

312 calls1.3k callsexperimental frontier preview

Pro Plan ships with 2,500 points/month. Ultra ships with 7,500. Mix and match freely — no model locking.

ROBUST LLM GATEWAY KERNEL

Built from the ground up for high availability and low-latency inference workloads.

SMART LOAD BALANCING

Round-robin routing with real-time health weighting and dynamic in-flight concurrency tracking.

HIGH-AVAILABILITY FAILOVER

Automatic request retry and hot-swap routing. If a routing target goes down, traffic is immediately re-allocated.

QUOTA MANAGEMENT

Granular subscription tier rate limits, sliding token budgets, and cost analytics logged per API key.

AVAILABLE MODELS

All models accessible through a single API key. Supports per-token and per-request billing.

Per-Token & Per-Request Billing Active

Browse All Models

Showing 10 of 11 models|0 per-token|11 per-request

Pricing Profiles

Choose a flexible subscription plan that matches your production throughput demands.

Most popular

Pro Plan

Starter + Claude Sonnet 4.6, GPT-5.4, Gemini 3.1 Pro

$19.99/ mo

  • Monthly Budget: $0.00
  • RPM Limit: 40 RPM
  • 5-Hour Limit: $0.00
  • 7-Day Limit: $0.00
  • Points/mo: 2,500
  • Daily Free Req: 0

GET STARTED

Starter Plan

Starter + Owl Alpha, Nemotron Ultra, Step 3.7 Flash

$4.99/ mo

  • Monthly Budget: $0.00
  • RPM Limit: 20 RPM
  • 5-Hour Limit: $0.00
  • 7-Day Limit: $0.00
  • Points/mo: 500
  • Daily Free Req: 0

Elite performance

Ultra Plan

Pro + GPT-5.5, GPT-5.3 Codex Spark, Claude Opus 4.8

$99.99/ mo

  • Monthly Budget: $0.00
  • RPM Limit: 60 RPM
  • 5-Hour Limit: $0.00
  • 7-Day Limit: $0.00
  • Points/mo: 7,500
  • Daily Free Req: 0

* Need custom limits or an enterprise setup? Join our Telegram support group at t.me/akarouter_support — we don't do email, just the group.