Engineering
Thinking Fast and Slow
There are two kinds of inference: someone is waiting, or nobody is watching. The alpha lives at the ends. The open stack serves the middle.
The loop
One inference stack for
the whole agent loop.
Run the agent
Kimi K3 is #1 on Design Arena: Fable-tier, served at 100 tok/s. GLM-5.2 is Opus-tier with 1M context. Both on kernels tuned for codegen, plus the open-weight lineup: Qwen, MiniMax, DeepSeek.
Search, apply, compact
Specialized models: WarpGrep for search. Fast Apply for applying edits at 10,500 tok/s. Compact at 33k tok/sec.
LLM as a Judge for agent convo turns, built for speed and scale
Same weights. Different tokens.
- Fidelity
- Our quantization stays within ±1% of the reference model. Run your eval before you switch.
- Speed
- Speculative decoding adapts to your traffic. The same model runs ~30% faster three weeks in.
- Price
- Custom kernels get more tokens per GPU-hour, so you pay less.
OpenAI-compatible at api.morphllm.com. In Claude Code, Cursor, and Codex viaMCPplus the AI SDKand
Deploy anywhere. Our cloud or yours.
Self-Host
Deploy Morph on your own infra - on-prem or cloud.
High Rate Limits
Flexible, high-capacity rate limits.
Enterprise Level Reliability
99.9% uptime SLA with top-tier support .
SOC2 Certified
Ready-to-sign agreements for enterprise compliance.
Frequently Asked Questions
Everything you need to know about Morph
More about Morph
Engineering
GLM-5.2: An Open Model That Codes Like a Closed One
Z.ai's GLM-5.2 lands within a few points of Claude Opus 4.8 on agent benchmarks at a fraction of the cost. Open weights don't serve themselves — here's how we make it fast, and how to reach it on Morph and OpenRouter.
Engineering
Claude Code cost: keep your AI bill flat while usage grows
Claude Code cost climbs because the whole agent loop runs on one frontier model. Here is what you actually pay for, why spend caps do not help, and how per-call model routing keeps the bill flat while token usage keeps growing.
Product
Agent Failures Don't Throw
An agent loops, a user gives up, a jailbreak slips past, and the trace still says 200 OK. The failures that matter to agents are semantic, and your logs can't see them. Reflexes are small classifiers that read every turn and label the ones that broke: frustration, jailbreaks, loops, policy violations. Eight ship out of the box, one API call, under 90ms. Train your own in an hour.
Engineering
One Backbone, Many Reflexes
Reflexes are a new way to run LLM-as-a-judge at scale - by reusing the compute used for other reflexes
Research
Optimizing Models to Be Fast at Codegen
How we serve open source models to be the best in class at coding agent workloads.
Explore Codegen
Critical takes on the latest in codegen.
What is SWE-Bench Pro?
Scale AI's benchmark for coding agents: 1,865 tasks across 41 repos. Leaderboard, scores, and why WarpGrep v2 lifts every model to #1.
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Codex vs Claude Code: Real Data, Not Vibes
Real data on when Codex destroys Claude Code and when it doesn't. Token economics, failure modes, and which $20/month actually delivers.
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Cursor Alternatives: 8 Tools Tested (2026)
Every serious Cursor alternative benchmarked: Claude Code, Windsurf, Cline, Copilot, Aider, Codex, and OpenCode.
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Best AI Model for Coding 2026
Claude Opus 4.5 leads SWE-bench at 80.9%. Grok 4 hits 81%. Scores, API pricing, speed, and why the harness matters more than the model.
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AI Coding Agents: The 2026 Landscape
How coding agents actually work, what separates harnesses from models, and where the field is headed.
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Playwright MCP: Browser Testing for AI Agents
Set up Playwright MCP in Claude Code, Cursor, or Codex. MCP vs CLI token costs and Stagehand comparison.
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Install Claude Code: Complete Setup Guide
Native install, Homebrew, npm. Auth, CLAUDE.md, MCP setup, and troubleshooting.
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What Is Context Rot?
Why LLMs degrade as context grows. 30%+ performance drop from lost-in-the-middle, and how subagent isolation reduces context rot by 70%.
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Context Engineering for AI Agents
The difference between a prompt and an agent that works. How to structure context so coding agents stay coherent across long sessions.
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OpenCode vs Codex: Go vs Rust Harness Deep Dive
Technical analysis of AI coding agent harness architectures. Go-based OpenCode (75+ providers) vs Rust-based Codex (GPT-5).
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AI Code Tool Comparisons 2026
Every head-to-head comparison in one place. Cursor, Claude Code, Copilot, Windsurf, Codex, Aider, Cline, and more.
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Diff Format Explained
Search-replace blocks with git merge syntax: limitations, accuracy issues, and why semantic editing achieves 98% vs 70% success rates.
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Browserbase MCP: Hosted Browsers for Agents
Browserbase MCP gives coding agents hosted browser sessions, MCP tools, and a cleaner path from local browser loops to production browser infrastructure.
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Stagehand MCP: Framework Layer for AI Browser Automation
Where Stagehand fits next to Browserbase MCP, Playwright MCP, and Browser Use. Framework primitives, reliability, and when to use it.
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Browserless API: REST and CDP for Hosted Browsers
Browserless API supports REST endpoints for task-shaped browser jobs and CDP WebSockets for Playwright or Puppeteer. Setup, tradeoffs, and self-hosting.
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Browserless Docker: Self-Hosted Browser Infrastructure
Run Browserless in your own environment with Docker, queue browser workloads, and expose Playwright/Puppeteer-compatible endpoints with better operational controls.
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Claude Code LiteLLM: Minimal Setup, Unified Endpoint, and Real Tradeoffs
Set up Claude Code with LiteLLM as a unified endpoint. Learn when LiteLLM helps, how the proxy works, and the practical tradeoffs.
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Claude vs Copilot (2026): Pricing, Features, and Which One Wins
Claude is the broader Anthropic assistant stack. GitHub Copilot is the broader GitHub coding stack. Pricing, product scope, and workflow fit compared.
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Kiro Pricing (2026): Plans, Credits, Overage, and What the Meter Actually Means
Kiro pricing is simple on paper: plans, credits, and overage. This guide breaks down the actual credit math, trial rules, and tradeoffs.
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What Is an LLM Router? Automatic Model Routing for Cost and Quality
An LLM router classifies prompt difficulty in ~430ms and routes to the right model tier. 40-70% API cost savings with under 2% quality loss on hard tasks.
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Sonnet vs Haiku: Which Claude Model to Use
Claude Sonnet 4.5 costs 3.75x more than Haiku 4.5. Pricing, speed, quality tradeoffs, and how automatic model routing cuts costs 40-60%.
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LLM Gateway: Unified API Layer for Multi-Provider AI Apps
What an LLM gateway does, how it differs from a proxy and a router, key capabilities, open source options, and where intelligent routing fits in.
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OpenRouter Alternative: When a Proxy Isn't Enough
OpenRouter and LiteLLM solve provider access. Neither solves model selection. Comparison of routing logic, cost optimization, latency, and how intelligent routing fills the gap.
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LLM Cost Optimization: 5 Levers That Cut API Spend 70-85%
A practical guide to reducing LLM API costs. Five levers: model routing (40-70% savings), context compaction (50-70% token reduction), prompt optimization, caching (90% on cache hits), and batching (50% discount).
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Is AI Overhyped? An AI Company's Honest Assessment
An AI infrastructure company writing honestly about the AI bubble. Bain found 10-15% productivity gains, METR showed devs 19% slower with AI, CodeRabbit measured 1.7x more bugs. What the data says, and what survives the correction.
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The Real Cost of AI Coding in 2026
What AI coding actually costs: token waste, agent loops, context bloat, subscription stacking. Real pricing data for Claude, GPT-5, Gemini, and how to cut spend 40-70%.
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AI Hallucination Examples: A Catalog of What Goes Wrong and Why
Real AI hallucination examples across legal, medical, and coding domains. Measured hallucination rates from 0.7% to 29.9%, why token prediction makes hallucination inevitable, and architectural strategies that reduce it.
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Claude vs ChatGPT (2026): Honest Comparison, Real Pricing
An honest Claude vs ChatGPT comparison from a team that routes production traffic to both. Pricing, benchmarks, strengths, weaknesses, and why model routing beats picking one.
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AI Washing: A B2B Buyer's Guide to Spotting Fake AI Claims
AI washing is adding 'AI-powered' to a product that uses no AI, or wrapping a ChatGPT API call and calling it proprietary technology. Documented SEC and FTC enforcement actions, the API wrapper problem, and a checklist for evaluating whether a vendor's AI claims are real.
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Will AI Replace Developers? What the Research Actually Says
An AI infrastructure company's honest assessment. METR found AI made experienced devs 19% slower. Bain measured 10-15% gains. CodeRabbit found 1.7x more bugs. Junior dev postings dropped 60%. The job is changing, not disappearing.
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