Opper

The AI gateway for agents.
Access 300+ leading AI models with one line of code. Drop-in OpenAI SDK compatible, EU-hosted, pay-as-you-go.

[Opper @opperai]

The strongest open-weight model, Kimi K3 by @Kimi_Moonshot, is now live on @opperai's EU endpoint. Take it for a walk without your data leaving the EU 🇪🇺

[Opper @opperai]

@ProductHunt For media studio fun: https://t.co/kvTjgdigEF

[Opper @opperai]

Launching @opperai on @ProductHunt today! We also launched Media Studio so you can create launch videos like this one.

[Opper @opperai]

Morph's full lineup of frontier open models is now live on the Opper gateway. Try them now.

[Morph @morphllm]

Morph's models are now available through the @opperai gateway (European Model Gateway that is EU-hosted and GDPR compliant!)

Models Available:
-GLM 5.2
-Deepseek V4 Flash
-Minimax M2.7
-Minimax 3
-Qwen 36-27b
-Qwen36-27b

[Felix @felix94123]

Just published aggregate stats from AI Roundtable, where 200+ models debate your question.

29,502 public sessions. 334,589 model responses.
https://t.co/4EdkJbIgmC

Three takeaways: @claudeai Opus 4.7 most influential, @GoogleDeepMind Gemini 3.1 Pro most used, @xai Grok 4.1 Fast highest conviction. Thread.

[Opper @opperai]

Welcoming Infercom to the Opper gateway. Sovereign inference, made in Europe.

[Infercom @InfercomAI]

50K developers just got access to Europe's fastest sovereign inference.

Infercom is now live on @opperai

→ MiniMax-M2.5: 400+ tok/s
→ gpt-oss-120b: 700+ tok/s
→ Munich datacenter, no CLOUD Act
Select Infercom in the Opper console.
https://t.co/TDpEOl9Vnv

[Opper @opperai]

Claude Cowork now works with 300+ models via Opper.

Route through EU-hosted inference, add fallbacks, or swap to a cheaper model mid-session — same Cowork window, different routing under the hood.

Setup takes 3 fields. Guide: https://t.co/OLxeDwuOZ8

[Opper @opperai]

All the best agent frameworks can now run inference through Opper.

Agents are just code that runs models. So they need what every production system needs: routing, observability, guardrails, fallbacks, and a model catalog that doesn't lock you in.

• OpenClaw — the open-source personal agent running on millions of machines
• pi — the terminal coding agent powering OpenClaw
• Hermes by Nous Research — open-source agentic coding assistant
• Vercel AI SDK — the de facto standard for AI in TypeScript apps
• https://t.co/p2V4R64BNU — the open-source coding assistant for VS Code and JetBrains
• Cline — the autonomous coding agent built into VS Code
• OpenCode — terminal-based AI coding for people who live in the shell

One API key. 260+ models. EU-hosted.

See our integrations page for more details: https://t.co/ROzYG3qmkr

[Opper @opperai]

@okaris

[ok @okaris]

@opperai just launched this fun page where you can get any llm to debate on a question. i particularly love this one where most them are just plain wrong but none change their answer!

[Hacker News 300 @betterhn300]

“Car Wash” test with 53 models https://t.co/En8fcVjGvM (https://t.co/HSRFrYIGFS)

[Felix @felix94123]

Reran every model 10 times (via @opperai gateway). Same prompt, no system prompt, no cache.

The results got worse. Of the 11 that passed once, only 5 held up.

GPT-5: 7/10

GPT-5.1, GPT-5.2, Claude Sonnet 4.5, every Llama, every Mistral: 0/10

[Opper @opperai]

Today we are introducing our new Agent SDKs:

https://t.co/fy9UeydkQ1

We built these to offer a good starting point for building headless, reliable and extendable agents. SDKs are available for Python and Typescript and offers the following features:

* Tool support (with MCP)
* Hook system to extend the inner agent actions
* Model interoperability with task completions
* Observability and evaluations

Only needs an Opper API key, which is available on our $10 free tier.

[Silicon Vikings (also on Blueskye and Threads) @siliconvikings]

Wk 37, 2025 in #eutech: 🇸🇪EcoDataCenter (€600M), 🇸🇪@opperai acquires @FinetuneDB_com, 🇱🇹Kashimi ($1.4M), 🇸🇪@saltfish_ai ($730K). By @tech_eu #NordicMade #cphftw #helyes #siliconfjord #sthlmtech #estotech #startinLatvia #LTstartups https://t.co/l7BKwQ9t7R

[Opper @opperai]

@tech_eu Thanks for the feature @tech_eu 🙏

[Tech.eu @tech_eu]

Opper AI acquires FinetuneDB for AI model tuning https://t.co/iPjd43QK42

[Opper @opperai]

Join the conversation on Reddit about our GPT-OSS Benchmarks: How GPT-OSS-120B Performs in Real Tasks
https://t.co/y9xOhyBivU

[Opper @opperai]

Join the conversation on Reddit about our GPT-5 Benchmarks: How GPT-5, Mini, and Nano Perform in Real Tasks
https://t.co/jMZp2FPlKB

[Göran @gsandahl]

We at @opperai just published high level results and a leaderboard of task benchmarks for leading models

Current leaderboard:

Overall winner: xAI Grok 4
Grok 4 is the winner of agentic tasks (tied with o3) and normalization tasks. In the top 5 on all categories.

Context usage: Claude Sonnet 4
This tests the models ability to correctly answer questions from supplied information. This tests "reading" context.

Agent runtime: Open AI O3 and xAI Grok 4
This tests the models ability to plan, reflect and select appropriate actions to take. This tests "using" context.

Normalization tasks: xAI Grok 4
This tests models ability to coherently produce output in a specific format from input. This basically tests "output" format consistency.

SQL generation: Open AI GPT-4.1
This tests models ability to interact with a database with natural language goals. This tests a certain domain problem.

Each category has around 30 tests of easy, medium and hard tasks.

I think these evals mirrors the overall "vibes" of these models!

What categories we should add? Coding? Multimodal? Drawing?