The unified interface for LLMs. 400+ models (incl. 50+ free), the best prices, explorable data, private chat, & a unified API. https://xitter.cf/t.co/qJG5mKrQ6j
Joined July 2023
- Tweets5.8K
- Following387
- Followers155K
- Likes6K
OpenRouter retweeted
⚡ @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 K3
ALT Code: a fetch call to OpenRouter chat completions with the highlighted line model: "~anthropic/claude-opus-latest". The last line logs data.model, which returned "anthropic/claude-opus-5.5".
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! openrouter.ai/settings/secur…
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.
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: openrouter.ai/recursive/flin…
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.
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.
Jev 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: openrouter.ai/typesafe/jev-r…
OpenRouter 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: openrouter.ai/openrouter/aut…
Tip: see how different routers in the ecosystem benchmark using openrouter.ai/benchmarks/rou…
How different routers cost relative to frontier 👇
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.
Voxtral TTS 3: voices that adjust emotion, pace and emphasis to the conversation, in 35+ languages and 50+ dialects.
openrouter.ai/mistralai/voxt…
Voxtral Mini Transcribe 3: the smaller, lower-cost speech-to-text model in the family.
openrouter.ai/mistralai/voxt…
Voxtral Small Transcribe 3: Mistral reports it beats Whisper, Scribe v2 and Gemini 3.5 Transcribe on multilingual transcription.
openrouter.ai/mistralai/voxt…
All three models have EU-hosted and zero-data-retention endpoints on OpenRouter, through the same /audio/transcriptions and /audio/speech API as our other speech models.
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.
Use it now: openrouter.ai/inception/merc…
Read more:
Mercury 3 is live on OpenRouter!
@_inception_ai's new diffusion model generates 1,000+ tok/s with 1M context, 4x more than Mercury 2.5. Inception reports it beats GPT-6 Luna and Haiku 5.5 on IFBench, GPQA Diamond, and SWE-Bench Atlas.
50% off at launch: $0.10/M in, $0.35/M out
Read more:
MiniMax M3.1 Flash: Space Performance + Bunny Speed
🚀🐰 Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash.
💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed.
API pricing (flat rate): $0.15 / $0.60 per 1M input/output tokens, with cache reads at $0.015 / 1M tokens.
Model weights will arrive on Oct 23.
API: platform.minimax.io
M Plan: minimax.io/m-plan
MiniMax Code for desktop: agent.minimax.io/download
