RunAPI @runapi23

最近把市面上的 API 平台挨个试了一遍，总结下： OpenRouter：快是真快，贵也是真贵，国内还老封 IP，统一key统一格式的概念挺好，就是对国内不友好。 ZenMux：概念挺好，但额度黑箱、订阅缩水，实际体验和宣传差距不小。 各类中转站：主要体感就是分组太多，而且有些分组货不对板，比如标的CC纯，其实就是逆向来的。还有就是没有兜底，大多数分组下午就炸，体验感比较差。 所以我在认真研究一个方向： 做一个干净的聚合平台，上游渠道提前筛过，不搞花里胡哨的分组，每个模型几层 fallback 兜底。像个正经的 SLA 服务，但比 OR 便宜一大半。 有同感的朋友吗？

Opus 4.6 surprised me in a 4 model agent build test. Compared to Gemini 3 Flash and DeepSeek, it streams fast and keeps going without losing structure. Long outputs stay coherent, actionable, and actually implementable. I’m running these comparisons on runapi.co: OpenAI compatible endpoint, up to 70% off, plus $10 free credits on signup.

Claude Opus 4.6 hasn’t even officially launched yet ,but we’re already preparing the pipeline. When it drops, three things happen immediately: • Benchmark it properly. No hype, just numbers. • Opus 4.5 already runs ~70 tokens/s on our routing , let’s see if 4.6 resets the ceiling. • And the one that matters most: how much cost can we cut for developers? Speed is expected. Cost reduction is intentional. We’ll handle the optimization.

BridgeMind @bridgemindai

6 months ago

Claude Opus 4.6 just showed up in Perplexity's API. Label: "Claude Opus 4.6" Description: "Anthropic's most advanced model" And right below it: Label: "Claude Opus 4.6 Thinking" Description: "Anthropic's Opus reasoning model with thinking" Two variants. A standard model

18 2 80 7K 1

Kimi-K2.5 and Qwen3-Max are now live on RunAPI. Both models are production-ready with high throughput, strong stability, and seamless integration through our unified API. To celebrate the launch, we are offering a limited-time price at 50% of the official rate. No migration needed. Switch the model and start building.

Right now on runapi.co claude 4.5 opus : 42% lower cost gemini 3 pro preview : 52% lower cost gpt 5.2 : 55% lower Same models, same behavior. Just smarter routing and fewer unnecessary markups. If you’re shipping with these models every day, the difference shows up on the bill pretty quickly.

Claude Code style agents work great on RunAPI, fast streaming and solid tool calling.

A lot of people still don’t understand what we’re building, or how our API prices can stay at roughly 50% of the “market” rate. We’re not hosting the models ourselves and reselling them. For every model on RunAPI, we do the unsexy work: we hunt down multiple strong providers, vet them hard, and only list the ones that can consistently deliver real quality. The goal is simple. Same model behavior you’d expect, but without paying the premium just because one provider is the default. Then we add the part that actually makes it feel good to use: routing. Every request gets sent to the best provider at that moment, based on real time speed and reliability signals, not just a static rule. If one provider slows down or gets flaky, traffic shifts automatically. You keep the same model, but you’re always hitting the fastest lane. So the “why” is this: competition plus selection plus routing. We keep multiple providers in the pool, we don’t compromise on performance, and we let the system continuously choose the best option. You pay half, but you still get the best available provider experience. That’s the whole point.

keyboard_arrow_left Previous keyboard_arrow_right Next

BTW if you’re new this month, DM and we’ll drop $10 credits for you. runapi.co

Not just open-source models. Most mainstream models end up 40–60% cheaper on our side after routing and the same quality test pipeline.

Kimi K2.5 dropped. When a new model ships, we usually find multiple providers at ~60% of the market price within 3 days. Then we run the boring stuff: 1. TPS + time to first token 2. all day stability 3. agent tool calling sanity checks If it passes, it goes live on RunAPI. Believe it or not, most models on our platform end up as fast as OpenRouter (sometimes faster) but with a real cost cut.

@adishjain333 Appreciate it — we’ve actually got it running already. If you’re shipping agents or heavy workflows, feel free to try the API and shave down cost + latency at runapi.co

Seeing 50% cost cuts while still pushing 80+ tokens/s through OpenCode was honestly surreal. Matching OpenRouter-grade speeds inside a coding workflow is not something I expected this soon. Excited for more vibe-coding experiments.

If you’re doing agent loops or long sessions, you’ll feel it. Cache hits can cut costs by 80%.

Behind the scenes, nothing fancy. Just pointed Claude Code at our API, ran it once, and it landed. If you do this a lot, the savings add up fast. Also, new users get $10 to try it out. So click runapi.co

Just did a speedrun in Claude Code using our API. The skill came together in seconds. It feels genuinely snappy, and the best part is the cost. For the same workflow, the bill ends up about half of what I'm used to.

Totally fair question I’m not speeding up the model or trading quality for TPS RunAPI is basically smart routing We pick the best provider in real time based on price latency and stability The upstreams are official partner cloud providers running the same models so correctness and edge case behavior should stay consistent

@Angaisb_ @OpenAI Actually on RunAPI you can pick the reasoning effort: none, minimal, low, medium, or high. It’s a simple toggle, so you’re not stuck with always-on thinking.

If Snow Bunny is really “very very good”, we’re ready. Adding it to RunAPI day-one, aiming ~50% cheaper, and we’ll post benchmarks vs Opus 4.5 + GPT-5.2.

🍓🍓🍓 @iruletheworldmo

6 months ago

snow bunny (gemini 3 full) is coming warning: it's very very good.

46 23 619 51K 75

@theo funny how that split is becoming the default — fast UI vs deep reasoning