Blog
Practical, no-fluff guides for building with DeepSeek, Qwen, Kimi, GLM and more — through one OpenAI-compatible API.
GPT-5.6 went GA on July 9, 2026 in three tiers — Sol ($5/$30), Terra ($2.50/$15), Luna ($1/$6). Luna finally matches Chinese model prices, but flagship-level coding still costs 5× more than GLM-5.2. The full comparison, with the benchmark caveats.
Read more →The apps sending the most tokens to GLM-5.2 on OpenRouter are Hermes Agent, Claude Code, pi, Kilo Code and OpenClaw — mostly open-source coding and agent tools that let users pick any model. Here is what that reveals, and how to run GLM-5.2 yourself.
Read more →Cline accepts any OpenAI-compatible endpoint, so you can run GLM-5.2, DeepSeek V4-Pro or V4-Flash inside it through Turiloop — three fields, no code changes, international card, no Chinese phone number.
Read more →Roo Code supports any OpenAI-compatible provider, so you can route between GLM-5.2, DeepSeek V4-Pro and V4-Flash from one Turiloop key — cheap by default, escalate when a task is hard.
Read more →Continue.dev's OpenAI-compatible provider lets you add GLM-5.2 and DeepSeek to VS Code or JetBrains in a few lines of config.yaml — chat, autocomplete and edit, all from one Turiloop key.
Read more →aider connects to any OpenAI-compatible endpoint. Point it at Turiloop with two env vars and the openai/ model prefix to pair-program with GLM-5.2 or DeepSeek from your terminal — international card, no Chinese phone number.
Read more →Official June 2026 API prices for every major Chinese model — GLM-5.2 ($1.40/$4.40), DeepSeek V4-Pro ($0.435/$0.87), Kimi K2.6 ($0.95/$4.00), MiniMax M2.5 — with the benchmarks that justify them and the closed-model prices they undercut.
Read more →Short answer: Claude Fable 5 if money is no object, GLM-5.2 for the best capability-per-dollar, DeepSeek V4-Pro for algorithmic work, V4-Flash for bulk tasks. The benchmarks and prices behind each pick, as of June 2026.
Read more →DeepSeek V4-Pro costs $0.435/$0.87 per million tokens, V4-Flash $0.14/$0.28 with cache hits near $0.014 — official June 2026 rates. What drives the real bill, how it compares to GPT-5.5 and Claude, and payment options outside China.
Read more →GLM-5.2 is the #1 open-weight model and #4 overall, scores 62.1 on SWE-bench Pro, runs a 1M-token context, and undercuts the closed frontier. A technical breakdown of the benchmarks, the MoE architecture, pricing, and how to call it.
Read more →Fable 5 is the most capable model money can buy right now. GLM-5.2 is the best open-weight model right now. They cost wildly different amounts. Here's how to decide between them.
Read more →HappyHorse generates 1080p video with synced audio in seconds, tops the Artificial Analysis video board, and costs a fraction of the field. It's coming to Turiloop. Here's what it does.
Read more →GLM-5.2 is the strongest Chinese model right now — the #1 open-weight model on the Artificial Analysis index. But DeepSeek V4, Kimi K2.6 and MiniMax each still win at specific jobs. A practical, benchmark-backed map for 2026.
Read more →GLM-5.2, DeepSeek V4, Kimi K2.6 and MiniMax are excellent and cheap — but reaching them from outside China is the hard part. A practical guide to picking a relay that won't burn you.
Read more →DeepSeek V4-Pro matches the closed frontier on coding benchmarks at a fraction of the output price. A data-driven 2026 comparison with real benchmarks and API rates.
Read more →Both shipped in the April 2026 Chinese wave and both code well. The real difference is price, context length and agentic strength. Here's how to choose.
Read more →GPT-5.5 output costs $30/M; DeepSeek V4-Pro is a fraction of that and matches it on coding. Here's how to migrate in two lines, no code rewrite.
Read more →DeepSeek R1 exposes its chain of thought and shines on math, logic and multi-step problems. Here's when to reach for R1 instead of a general chat model — and when not to.
Read more →At about $0.14 / $0.28 per million tokens — and $0.014 on cache hits — DeepSeek V4-Flash is roughly 100× cheaper than the closed frontier. Here's what it's good at and when to reach for the Pro tier instead.
Read more →Cache hits cost roughly a tenth of normal input tokens: DeepSeek reads cache at ~$0.07/M, Kimi K2.6 at ~$0.16/M. Structure your prompts right and the savings are automatic.
Read more →Tool calling turns a chat model into an agent that can hit your APIs. Here's how to do it with DeepSeek V4 and GLM-5.1 through the standard OpenAI tools interface.
Read more →A practical DeepSeek RAG tutorial: retrieve from your own documents and let a cheap, capable model answer grounded in them. A minimal, production-shaped pipeline with the generation code, cost tricks, and an FAQ.
Read more →gpt-image-2 produces high-resolution images from a prompt through an OpenAI-compatible endpoint. Here's how to call it — generation and editing — with per-image pricing.
Read more →A prototype that calls an LLM once is easy. Production traffic needs retries with backoff, timeouts, and a fallback model. Here are the patterns that keep your app up.
Read more →Kimi K2.6 (long-context agents) and GLM-5.1 (coding) are two of the strongest models from the April 2026 Chinese wave. Here's how to call both from abroad, with code.
Read more →A hands-on guide to calling GLM-5.2, DeepSeek V4, Kimi K2.6 and MiniMax through one OpenAI-compatible endpoint — switching models, streaming, and smart routing in real code.
Read more →A practical guide for developers outside China to call DeepSeek's API with an international credit card — no Chinese phone number, no Alipay, OpenAI-compatible in minutes.
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