The unified interface for LLMs. 400+ models (incl. 50+ free), the best prices, explorable data, private chat, & a unified API. openrouter.ai/discord
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Pinned Tweet
Today, we are launching OpenRouter Armor in beta.
Tool calls allow agents to interact with the world, and regex-based filtering often isn't enough to detect unwanted tool calls.
Armor uses @typesafeai's Jev model to guard against out of policy tool calls before your agent executes them, with better performance than Claude Code's auto classifier at a fraction of the cost.
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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
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Use it now: openrouter.ai/inception/merc…
Read more:
1/4 Today, we’re releasing Mercury 3. Mercury 3 is by far our most powerful model and the most intelligent diffusion LLM ever released. It outperforms GPT-6 Luna and Haiku 5.5 on quality while running at 1000+ tok/sec.
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Stealth model reveal 🐰
Space Bunny was OpenRouter’s #1 model for 10 straight days, processing 56.7T tokens! The most of any stealth model we’ve run.
Space Bunny hopped off OpenRouter on Oct 5. It's back today as @MiniMax_AI's M3.1 Flash, and it's free for the next 72 hours.
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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
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OpenRouter retweeted
A few months ago, we built a self-improving security agent called Sentinel to help protect OpenRouter users. It runs 24/7 across all activity to look for activity anomalies, signs of end-user account takeover, user key theft, and more.
It continuously makes improvements based on signals from our trust and safety team, with a 0.05% action reversal rate (similar to false positive rate) this month. Anyone app can leverage its protection by implementing OpenRouter OAuth: openrouter.ai/docs/guides/ov…
And if you want to be a part of real autoresearch in action, join us! jobs.ashbyhq.com/openrouter/…
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Gave my coding agent every frontier model on @OpenRouter and let a router pick the best one for each step.
Guess which model ended up doing most of the work
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OpenRouter retweeted
Today, we are launching OpenRouter Armor in beta.
Tool calls allow agents to interact with the world, and regex-based filtering often isn't enough to detect unwanted tool calls.
Armor uses @typesafeai's Jev model to guard against out of policy tool calls before your agent executes them, with better performance than Claude Code's auto classifier at a fraction of the cost.
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We're live on OpenRouter with DeepSeek v4.1-1017
Clear improvements on agentic coding across the board
DeepSeek V4.1 Flash 1017 is live on OpenRouter with DeepSeek as the first provider and many more providers on the way.
@deepseek_ai's update to V4.1 Flash is more token efficient and shows major gains in agentic benchmarks.
Use it now: openrouter.ai/deepseek/deeps…
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Looking for a weekend project? Two new OpenRouter cookbooks on @scaledown_team's task-specific models (currently 20% off!), each a ready-to-run recipe for a workflow problem.
Summarize: compact a 100-step agent session while keeping the facts it still needs.
openrouter.ai/docs/cookbook/…
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Classify: use the Decisions API to automatically detect an agent stuck in a loop, and halt or nudge it on thresholds you set.
openrouter.ai/docs/cookbook/…
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DeepSeek V4.1 Flash 1017 is live on OpenRouter with DeepSeek as the first provider and many more providers on the way.
@deepseek_ai's update to V4.1 Flash is more token efficient and shows major gains in agentic benchmarks.
Use it now: openrouter.ai/deepseek/deeps…
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Read more from @deepseek_ai
🚀 DeepSeek-V4.1-Flash-1017 is here!
Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API.
🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model.
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d1-ultra is now available on @OpenRouter 🚀
build with it:
openrouter.ai/liquid/d1-ultr…
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OpenRouter retweeted
Add `:nitro` to any model slug on @OpenRouter and your request goes to whichever provider is serving that model fastest right now.
Running the same prompt on DeepSeek V4.1 Flash, our most used coding model:
- without: 6.8s
- with `:nitro`: 3.9s
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OpenRouter retweeted
Openrouter is the best place to use Perplexity Decider models
Perplexity Decider v1.2 and Decider Flash v1.2 are now on OpenRouter
@perplexity_ai's open-weights decision models take text or images and return typed answers with probabilities
- Decider v1.2: a new 27B checkpoint, succeeding v1.1
- Decider Flash v1.2: 4B, faster and half the cost
openrouter.ai/perplexity/ppl…
openrouter.ai/perplexity/ppl…
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Perplexity Decider v1.2 and Decider Flash v1.2 are now on OpenRouter
@perplexity_ai's open-weights decision models take text or images and return typed answers with probabilities
- Decider v1.2: a new 27B checkpoint, succeeding v1.1
- Decider Flash v1.2: 4B, faster and half the cost
openrouter.ai/perplexity/ppl…
openrouter.ai/perplexity/ppl…
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Span-02 from @RespanAI is now on OpenRouter
An open-weight decision model: give it text and images, define your questions, and get back a choice, a yes/no/unknown, or a score, with probabilities.
$0.01/M input tokens, free output, 131K context.
Span-02 is the cheapest decision model: $0.01/M input tokens.
With thinking off, it delivers frontier-level decision-making at lowest latency.
Need more? Give it a reasoning budget. Span-02 thinks until the deadline, then returns its best decision so far. Stop reasoning anytime.
Or let Span-02 decide. In auto mode, an adaptive learned gate picks the reasoning budget for every decision.
Fully open weights with a rust inference engine. 7× faster than vLLM.
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It runs on the OpenRouter Decisions API, the same request format as the other decision models we host, so trying Span-02 is a one-line model change.
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Images go in the same state as your text, up to 4 per request.
See more:
openrouter.ai/respan/span-02
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