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OpenRouter✓
@OpenRouter
The unified interface for LLMs. 400+ models (incl. 50+ free), the best prices, explorable data, private chat, & a unified API. https://t.co/qJG5mKrQ6j
389 Abonnements156K Abonnés5.9K Posts
- OpenRouterRT @ModelsOnOR: Live on OpenRouter: Riverflow 2.6 Pro from @riverflow_ai A major upgrade to their chart-topping Riverflow 2.5 Pro model in June 2026. This upgrade focuses on real world capabilities creative teams need: Priced the same as Riverflow 2.5 Pro0101K
The biggest lie in AI is that the future belongs to one winner. Every technology wave starts with one company promising that one walled garden is all you'll ever need. And every time, market forces and creativity break the walls down. I cofounded OpenSea and now OpenRouter around the opposite bet: humanity will refuse to be locked in. Intelligence was never meant to belong to one lab, one model, or one gatekeeper. The future of AI is open, plural, and yours to choose.677664271.5K- OpenRouterRT @caoshuxun: 🚀 0 → 120 BILLION tokens/day in just ONE month! Just one month since onboarding Prime Inference to OpenRouter, we've scaled from zero to 120B tokens served daily. Note this is just a small portion of Prime Inference 🔥01401.5K
- OpenRouterRT @pingToven: our new models account!! go follow pls :)Models on OpenRouter @ModelsOnORParticle-1 from @particle_api is live on OpenRouter. A token-efficient coding model post-trained on DeepSeek V4.1 Flash. Particle reports it uses ~45% fewer tokens on average with accuracy close to the base model, so agent tasks finish sooner and cost less. $0.25/M input, $1/M output, 1.05M context.0501.4K
Particle-1 from @particle_api is live on OpenRouter. A token-efficient coding model post-trained on DeepSeek V4.1 Flash. Particle reports it uses ~45% fewer tokens on average with accuracy close to the base model, so agent tasks finish sooner and cost less. $0.25/M input, $1/M output, 1.05M context.
1307726.9K- Royale: Last Agent Standing is back. 20 models from 10 labs play 30 games live. Only one is left standing. Live casting powered by @ElevenLabs V4 Watch it with us on Thursday, Oct 29 at 12 PM ET.jacky @jjacky🚨 PRESENTING ROYALE: LAST AGENT STANDING REDUX world premiere: 30 models, across 20 labs, ONLY ONE WINNER 📆 thursday, october 29 12:00 PM 📌 @OpenRouter x @ElevenLabs livestream 🔗 RSVP in comments51316.6K
🚨 PRESENTING ROYALE: LAST AGENT STANDING REDUX world premiere: 30 models, across 20 labs, ONLY ONE WINNER 📆 thursday, october 29 12:00 PM 📌 @OpenRouter x @ElevenLabs livestream 🔗 RSVP in comments45356.9K- Fewer tokens, same work. Particle-1 from @particle_api uses 28–52% fewer output tokens than DeepSeek V4.1 Flash across four coding benchmarks, per Particle. Now on OpenRouter.Models on OpenRouter @ModelsOnORParticle-1 from @particle_api is live on OpenRouter. A token-efficient coding model post-trained on DeepSeek V4.1 Flash. Particle reports it uses ~45% fewer tokens on average with accuracy close to the base model, so agent tasks finish sooner and cost less. $0.25/M input, $1/M output, 1.05M context.231112629.9K
- Posts @OpenRouter@particle_api Go follow our new account @ModelsOnOR for the latest on OpenRouter model launches!0152.8K
- AssemblyAI-TTS-1 is now live on OpenRouter! @AssemblyAI's first text-to-speech model, built for voice agents. Ranked in the best quadrant for speed and accuracy, and highest naturalness for models at $15/1M characters or less, per @cekuraAi's benchmark. 4,000+ voices, served from US or EU.AssemblyAI @AssemblyAIIntroducing AssemblyAI-TTS-1, our first text-to-speech model. Natural speech for voice agents, streaming in 90 ms, at $15 per million characters. On accuracy, naturalness, and cost together, it’s the best TTS model you can run at scale.55418.4K
Introducing AssemblyAI-TTS-1, our first text-to-speech model. Natural speech for voice agents, streaming in 90 ms, at $15 per million characters. On accuracy, naturalness, and cost together, it’s the best TTS model you can run at scale.222223969.8K- Use the Security Center to manage security across all models: - turn on key spend alerts 🔔 - remove unused keys - set a periodic spend limit on uncapped keys - set a max key lifetime on ALL keys … and more!Alex Atallah @alexatallahToday we're launching the first-ever gateway Security Center. @OpenRouter now lets you audit all your keys in one place, see which ones are safe to remove, browse keys by level of risk, and control an IP allowlist.956411.3K
- OpenRouterRT @alexatallah: The biggest lie in AI is that the future belongs to one winner. Every technology wave starts with one company promising that one walled garden is all you'll ever need. And every time, market forces and creativity break the walls down. I cofounded OpenSea and now OpenRouter around the opposite bet: humanity will refuse to be locked in. Intelligence was never meant to belong to one lab, one model, or one gatekeeper. The future of AI is open, plural, and yours to choose.07501.7K
- Today we're launching the first-ever gateway Security Center. @OpenRouter now lets you audit all your keys in one place, see which ones are safe to remove, browse keys by level of risk, and control an IP allowlist.
10148126.2K - OpenRouterRT @KenTheRogers: Ran the same single-file HTML solar system prompt across 4 models on @OpenRouter to compare speed, cost, and output. Gemini 4 Argon finished fastest at 42s (3.3¢) and was my favorite overall. DeepSeek V4.1 Flash was the cheapest at 0.6¢ (85s).0301.8K
- Flint from @Recursive_SI is now on OpenRouter! Recursive's first model: an open-weight 40B MoE (~2.5B active) built for coding agents by their autoresearch system, the Eureka Machine. 262K context, reasoning and tool calling. Recursive reports 54.9% on Terminal-Bench 2.1, 89.7% on SWE-bench Pro v2 and 74.2% on SWE-bench Verified. Free to use at launch. Try it now:Richard Socher @RichardSocherIntroducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine. • Best-in-class fast local coding • Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark • Built from scratch in under 4 months Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.172023220.7K
- OpenRouterRT @KenTheRogers: ⚡ @OpenRouter tip #6 Add the header X-OpenRouter-Cache: true and OpenRouter saves your entire response. Send the exact same request again and you get it back in about a second, for $0. This is different from prompt caching. Prompt caching only discounts the repeated part of your input, and the model still runs. This skips the model entirely. So if you're iterating during development you can turn this on to call the model without needing to pay for a new generation every time. The cache lasts 5 minutes by default, up to 24 hours with X-OpenRouter-Cache-TTL.0401.7K
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine. • Best-in-class fast local coding • Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark • Built from scratch in under 4 months Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.6388938.4K3.4M- OpenRouterRT @KenTheRogers: ⚡ @OpenRouter tip #5 You don't pay for failed generations on OpenRouter. - 0 output tokens + blank finish reason = 0 credits - Error finish reason = 0 credits - Broken or empty image output = 0 credits On by default for all models, even when providers still charge us.0201.8K
- Cache rates across the AI landscape have gotten markedly better in 2026. We saw an 85% median cache rate in agentic requests across OpenRouter last month, up from 65% in the beginning of the year. And the vast majority of providers now serve agentic cache at 70% or higher.
25611314.1K - Tip: see how different routers in the ecosystem benchmark using How different routers cost relative to frontier 👇
92428.7K - Posts @OpenRouterOpenRouter Auto costs about as much per token as our cheap-to-mid models, about 7x cheaper than Claude Opus 5.5 and 5x cheaper than Sonnet 5.5:3083.3K
- OpenRouterRT @alexatallah: We've announced OpenRouter's first major APAC partnership: KT Telecom, Korea's largest telecom company. Around 80 media outlets took part. KT will become a provider of sovereign Korean models on OpenRouter. Launch will be anchored by KT Mi:dm K 3.0 Pro, Upstage Solar and Motif, with plans to expand 10-15 models in 2027. OpenRouter will power KT's Token Factory, which will be available to KT's enterprise clients.0701.9K
- Posts @OpenRouterJev Router is about $0.65 per 1M, in the same range as GPT-6.1 Sol and Sonnet 5.5 and about 25% cheaper than Opus 5.5:1092.3K
- GPT-6.1 Terra from @OpenAI is live on OpenRouter! It matches GPT-6 Astra on Agents' Last Exam at one-tenth the price per token, and finishes tasks over 3x faster on average than Astra and GPT-6.1 Sol. $1/M input, $5/M output, 1.05M context.
231318814.5K - Agentic usage is up 34x since the start of February 2026. Agentic usage is also now about 8x higher than human usage across OpenRouter on a weekly basis.
151815819.9K - Posts @OpenRouterSee more:OpenAI @OpenAIGPT-6.1 Terra: delivering fast and capable computer use at a lower price. GPT-6.1 Terra understands what’s on screen, takes action across apps, writes naturally, and is a more capable model for your whole workday with the efficiency to take on more of it.2064.3K
- Voxtral 3 from @MistralAI is now on OpenRouter! Mistral released two new speech-to-text models and a new text-to-speech model, across 50+ languages.Mistral AI @MistralAIIntroducing Voxtral 3: state-of-the-art Transcribe and Speech models powering Mistral’s new voice agents API. 🧵8511410.2K
GPT-6.1 Terra: delivering fast and capable computer use at a lower price. GPT-6.1 Terra understands what’s on screen, takes action across apps, writes naturally, and is a more capable model for your whole workday with the efficiency to take on more of it.1.8K2.5K28K6.7M- Top models being used on security tasks, by spend %: GLM 5.3 & Kimi K3 Grok 4.7 is the top closed-weight model
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Introducing Voxtral 3: state-of-the-art Transcribe and Speech models powering Mistral’s new voice agents API. 🧵2503773.3K279K- Kimi K3.1 Pro from @Kimi_Moonshot is live on OpenRouter. A 1M context, multimodal open-weight model, post-trained from Kimi K3 for long-horizon coding and agentic work. $2/M input tokens, $10/M output tokens. Try it:Kimi.ai @Kimi_MoonshotIntroducing Kimi K3.1 Pro: our most capable 3T-class open-weight model. 🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal. 🔹 Full-project coding: games in Unreal, Unity & Godot. 🔹 Excels at parametric 3D modeling in Blender & CAD. 🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%. 🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks. Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on Kimi Work, Kimi Code, and the Kimi API. Open weights by Nov 4, 2026. 🔗 API: 🔗 Tech blog:371838719.8K
- OpenRouterRT @KenTheRogers: ⚡ @OpenRouter tip #2 Use ~anthropic/claude-opus-latest as your model on OpenRouter and you are always on the newest Opus. When the next one ships, your code picks it up with no change. There are aliases like this for most model families. What a few point to today: ~anthropic/claude-opus-latest → Claude Opus 5.5 ~openai/gpt-luna-latest → GPT-6 Luna ~google/gemini-flash-latest → Gemini 3.8 Flash ~moonshotai/kimi-latest → Kimi K30301.9K
- Posts @OpenRouterVoxtral Mini Transcribe 3: the smaller, lower-cost speech-to-text model in the family.1022.1K
Kimi.ai@Kimi_MoonshotIntroducing Kimi K3.1 Pro: our most capable 3T-class open-weight model. 🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal. 🔹 Full-project coding: games in Unreal, Unity & Godot. 🔹 Excels at parametric 3D modeling in Blender & CAD. 🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%. 🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks. Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on Kimi Work, Kimi Code, and the Kimi API. Open weights by Nov 4, 2026. 🔗 API: 🔗 Tech blog:
1.3K3.2K30.2K4.1M- Posts @OpenRouterVoxtral TTS 3: voices that adjust emotion, pace and emphasis to the conversation, in 35+ languages and 50+ dialects.0032.1K
- Posts @OpenRouterMoonshot reports 65.7% on Terminal-Bench 4.0, next to Claude Opus 5.5 (66.4%) and ahead of GPT-6 Astra (58.2%). On its Kimi Code Bench 3.0 Long-horizon, K3.1 Pro scores 61.2%, up from K3's 55.95%.31145K
- Posts @OpenRouterKimi K3.1 Pro Highspeed is live too: 2-3x faster, at $4/M input and $20/M output. Pick it from the providers list on the model page. See more:00113.4K
