OpenRouter ✓
@OpenRouter · joined 18 Jul 2023
The unified interface for LLMs. 400+ models (incl. 50+ free), the best prices, explorable data, private chat, & a unified API. https://t.co/qJG5mKrQ6j
147 445Followers
386Following
5 569Posts total
4.1MViews on collected posts
Neueste Beiträge
Wir suchen neue Beiträge…
@OpenRouter @typesafeai https://t.co/itOhpWE42K
2.4K views · 13 likes
· 0 reposts · 0 replies
Open on X →
0:08
Build something with Jev on OpenRouter and tag @jjacky. We are giving $20 in credits to the top 10 most creative and interesting projects.
Read more at: https://t.co/mSiDo3K3O0
28.4K views · 109 likes
· 5 reposts · 3 replies
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Jev tells you how sure it is. Ask which queue a ticket belongs in and you get "billing 84%, technical 16%", not just "billing".
And you can ask several questions about the same input in one call.
27.5K views · 89 likes
· 1 reposts · 3 replies
Open on X →
You ask in one of three shapes:
1. Noul: yes or no, returned as a probability. "Is this customer about to churn?"
2. Choice: one option from a set you define. "Which of these five queues does this go to?"
3. Score: a number on a scale you define. "How urgent is this, 1 to 5?"
130.3K views · 411 likes
· 12 reposts · 6 replies
Open on X →
The kind of jobs it is built for:
- Route a support ticket to the right team
- Decide if a message breaks your content rules
- Flag which signups look like fraud
- Choose the next step for an agent
- Decide if a workflow should pause for a human
And more
21.2K views · 192 likes
· 2 reposts · 1 replies
Open on X →
Jev is built for the decisions that software makes millions of times a day. Its pricing is also tuned for that:
- $0.042 per million input tokens, output tokens free
- Answers in 70 to 500 ms end to end
- On TypeSafe's published workflows, up to 190x faster and 440x cheaper than
23.5K views · 181 likes
· 3 reposts · 7 replies
Open on X →
Jev by @typesafeai is now on OpenRouter, in beta.
Jev is a System One model. Instead of generating text, it takes your app's state plus a typed question and returns a typed decision with a probability attached. There is no JSON prompting, parsing layer, and nothing to validate h
443.9K views · 3.3K likes
· 237 reposts · 114 replies
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0:13
@OpenRouter @unionalphaai Bro 256k Context in big 2026 is a crime 😭
https://t.co/PdvhyMcPXe
9.9K views · 72 likes
· 2 reposts · 7 replies
Open on X →
"256K Context" https://t.co/Vu1YGou29v
12.5K views · 2 likes
· 0 reposts · 1 replies
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0:02
Notes for this stealth model:
💰 It is free
🔑 This time, the provider does not train on your prompts or completions
34.8K views · 277 likes
· 4 reposts · 8 replies
Open on X →
🥷 New stealth model: Union Alpha (@unionalphaai)
A multimodal model for research, coding, and agentic workflows.
- Free to use
- 256K context
- Tool calling
- Frontier-level general-purpose performance
Try it now and share your feedback:
https://t.co/SZbdoGOkdb
1M views · 2.7K likes
· 192 reposts · 226 replies
Open on X →
Join us for In Production, a new series showcasing what companies are actually building and shipping with AI.
Founders from @olam_labs, @browser_use, and @userlens_hq will demo what they’re building, share lessons from production, and unpack the models powering their products ht
7.8K views · 36 likes
· 5 reposts · 7 replies
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Microsoft MAI-Transcribe 2 is live on OpenRouter!
Ranked #1 on FLEURS, it supports speech-to-text across 60 languages with automatic language ID, code switching, speaker diarization, and word-level timestamps.
Use it now: https://t.co/CoFRrkruw5
18.6K views · 199 likes
· 6 reposts · 13 replies
Open on X →
Introducing video benchmarks: compare video models side by side, on a variety of challenges.
Seedance 2.5 excels at physics and prompt adherence. The newly released MiniMax H3 Max is setting a new bar on speed and cost.
https://t.co/nmhN9b98yp https://t.co/mxC1YGb3sF
33.4K views · 282 likes
· 16 reposts · 15 replies
Open on X →
Muse Spark 1.3 is now available on OpenRouter!
Built for long-running agentic, multi-agent, and coding workflows. It tracks what it learns, handles conflicting inputs, and asks for clarification or confirmation when needed.
Use it now: https://t.co/vKNEn6KtVD
21.8K views · 367 likes
· 15 reposts · 18 replies
Open on X →
@GoogleDeepMind Gemini 3.8 Flash also supports agentic video processing.
Set processing: "agentic" on the video part and the model navigates the timeline itself instead of sampling every frame at a fixed rate. Works on earlier Gemini Flash models too.
Learn more in our docs:
3.3K views · 9 likes
· 1 reposts · 0 replies
Open on X →
what's your favorite drink?
I know - Intelligence on Ice by @OpenRouter.
(aka iced caramel latte, free OpenRouter credits inside)
grab one today at @UseCorgi Cafe in SF or NY.
post a pic for a shot at more credits + merch 💚 https://t.co/9jm95fS2UU
8.1K views · 33 likes
· 2 reposts · 7 replies
Open on X →
@OpenRouter @GoogleDeepMind Big upgrade. Gemini 3.8 Flash is looking seriously capable.
388 views · 1 likes
· 0 reposts · 0 replies
Open on X →
Gemini 3.8 Flash from @GoogleDeepMind is live on OpenRouter.
At 3.7 Flash’s intro price, it beats its predecessor on every benchmark shown: coding, finance, legal, video, and science.
Use it now: https://t.co/TQTNcIlfDW https://t.co/dR6UJZ2HQd
22.2K views · 415 likes
· 33 reposts · 25 replies
Open on X →
MiniMax H3 Max is now live on OpenRouter: faster and cheaper than H3.
Same prompt, side by side: ready in ~30 seconds instead of ~3.5 minutes, and $0.40 for the clip instead of $0.65. https://t.co/PAFSqiFe28
17.4K views · 202 likes
· 7 reposts · 10 replies
Open on X →
@OpenRouter @_inception_ai @OpenRouter note that Celeris-1 now supports reasoning, and is faster than Mercury 2 according to public benchmarks https://t.co/kSnwuqZfgM
620 views · 18 likes
· 1 reposts · 0 replies
Open on X →
1/ The fastest reasoning LLM is now live exclusively on OpenRouter.
Mercury 2.5 Preview from @_inception_ai reaches 1,107 tokens/sec through parallel token generation, with tunable reasoning, parallel tool calls, and schema-aligned JSON.
Built for latency-sensitive workloads. h
97.2K views · 554 likes
· 28 reposts · 46 replies
Open on X →
0:06
Elaboration on the headline figure:
- Luna grew by 13.8x
- Terra by 5.6x
- Sol by 1.1x
9.2K views · 47 likes
· 0 reposts · 0 replies
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More insights on the impact of these discounts in the full piece: https://t.co/9mjQz0zBgu
11K views · 26 likes
· 1 reposts · 2 replies
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Importantly, many of the users with Terra/Luna usage during the discount window kept using the models after the discounts were retired.
Overall tokens post-discount were actually higher on a daily average basis than during the window (mostly thanks to a few whales) https://t.co/
14.4K views · 64 likes
· 0 reposts · 1 replies
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Some of the additional tokens were from older OpenAI models.
But the bulk of the increase were net new tokens + stealing share from competitors. https://t.co/eAv21x5xHW
23.7K views · 96 likes
· 0 reposts · 2 replies
Open on X →
What happened when GPT 5.6 Terra and Luna were heavily discounted on OpenRouter?
Token usage exploded by 13.8x
Jevons Paradox = as technology makes the use of a resource more efficient, total consumption of that resource increases rather than decreases 🧵 https://t.co/5rPiufYhGz
940.4K views · 1.8K likes
· 149 reposts · 92 replies
Open on X →
Im Vergleich zu Konten gleicher Größe
35 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 100K–1M Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.
Medianaufrufe21 192dieses Konto5 983Median für 100K–1M
Reichweite, %14.37%dieses Konto1.49%Median für 100K–1M
Interaktion, %0.60%dieses Konto0.93%Median für 100K–1M
| Kennzahl | Dieses Konto | Median für 100K–1M | Verhältnis |
|---|---|---|---|
| Medianaufrufe pro Beitrag | 21 192 | 5 983 | 3.54× |
| Reichweite (Aufrufe ÷ Follower) | 14.37% | 1.49% | 9.65× |
| Interaktionsrate | 0.60% | 0.93% | 0.65× |
Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
33.4K3 Sep
18.6K
7.8K
1M16 Sep
34.8K
12.5K
9.9K
443.9K18 Sep
23.5K
21.2K
130.3K
27.5K
28.4K
2.4K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.95%3 Sep
1.19%
0.65%
0.32%16 Sep
0.84%
0.03%
0.82%
0.85%18 Sep
0.83%
0.92%
0.33%
0.34%
0.42%
0.55%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes66.4%11 984 in total
Reposts4.1%732 in total
Replies3.8%691 in total
Quotes2.4%437 in total
Bookmarks23.3%4 208 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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