Commonstack
@commonstack_ai
One API to access the best AI models in the world.
Faster agents, lower costs.
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Opus 5.
Refreshed homepage.
More to come.
used @commonstack_ai and built lumenforge a bio lumen experimental architecture studio for fun.
created with @Kimi_Moonshot latest K3 which has been a absolute stunner when it comes to assisting in design.
hybrid seed > activation > articulation > symbiosis > metropolis
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Kimi K3 Subscriptions closed?
We’ve got you covered.
Run your next task with Kimi K3 through Commonstack now.
Kimi K3, the latest frontier by Moonshot AI is now available on @commonstack_ai!
It is packed with 2.8T parameters with KDA enabling up to 6.3x faster in decoding. Built for self evolving and long horizon agentic tasks.
Give the moon a shot 🌕
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A glimpse into a month of production traffic through Commonstack:
-12.9M+ requests
-168B+ tokens
-70 models
-20%+ savings off list prices
On to the next.
Glad to be powering AgenticTrading, an open-source playground for LLM trading agents.
Backtest and run on Alpaca paper trading, built with Dr. Xiao-Yang Liu's @Ai4Finance Open Finance Group at Columbia University.
Check out more below👇
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Excited to introduce AgenticTrading! 🚀 An open-source experimental playground for LLM-powered trading agents. Build, test, and deploy agents that reason, trade, and perform in realistic market environments.
We are thrilled to collaborate with Dr. Xiaoyang Liu's group at Columbia University to push the boundaries of AI in finance. Stay tuned for our findings.
Explore our platform:
Read our Medium post:
GitHub Repo:
We welcome more collaborators to join us! Let's shape the future of open finance together.
🌟 #AgenticTrading# #AIinFinance# #LLM# #AlgorithmicTrading# #OpenSource#
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A lot of routing work evaluates isolated prompts, but real agent systems are fundamentally multi-step and budget-constrained. Cool to see benchmarks moving toward execution-grounded, end-to-end evaluation instead of just token-level proxies.
TwinRouterBench is a strong step toward realistic agentic routing evaluation — especially the separation between static supervision and dynamic SWE-bench execution. Excited to see where this goes!
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Great to see TwinRouterBench accepted to the #RLEval# Workshop at #CAIS2026#!
Per-step routing is quickly becoming essential infrastructure for agentic systems: each planning, coding, retrieval, and verification call should use the cheapest sufficient model without hurting final task success.
Proud to open-source TwinRouterBench and contribute a practical benchmark for this problem.
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Excited to share that TwinRouterBench has been accepted to the #RLEval# Workshop at #CAIS2026# 🎉
As LLM apps become long-horizon agents, one request can trigger many model calls across planning, tool use, retrieval, coding, and verification.
That makes per-step LLM routing a core infrastructure problem: sending each call to the cheapest sufficient model without breaking downstream success.
TwinRouterBench introduces:
⚡ Static track: 970 router-visible prefixes from 520 instances across SWE-bench, BFCL, mtRAG, QMSum, and PinchBench
🚀 Dynamic track: live SWE-bench Verified evaluation with official task resolution + realized API spend
Key result: a router trained on static labels achieves comparable SWE-bench resolve rate while cutting API cost by ~53% vs. an unrouted Opus 4.6 baseline.
Paper:
Code:
Dataset:
Website:
#LLM# #AgenticAI# #LLMRouting# #Benchmark# #SWEBench#
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Fraction of the bill. Same results.
Fully local, open source, works with any client.
Just > pipx install uncommon-route
Run Claude Code with Commonstack in 4 steps:
- generate an API key
- set 4 environment variables
- run claude
- /status to verify
Set it up now in 5 minutes with @alex_mirran.
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DeepSeek-V4-Flash is now live on
Time to feed your agents!
DeepSeek-V4-Flash
🔹 Reasoning capabilities closely approach V4-Pro.
🔹 Performs on par with V4-Pro on simple Agent tasks.
🔹 Smaller parameter size, faster response times, and highly cost-effective API pricing.
3/n
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Kimi K2.6 is blowing away benchmarks like Humanity's Last Exam and SWE-Bench Pro!
Now available on
Meet Kimi K2.6: Advancing Open-Source Coding
🔹Open-source SOTA on HLE w/ tools (54.0), SWE-Bench Pro (58.6), SWE-bench Multilingual (76.7), BrowseComp (83.2), Toolathlon (50.0), Charxiv w/ python(86.7), Math Vision w/ python (93.2)
What's new:
🔹Long-horizon coding - 4,000+ tool calls, over 12 hours of continuous execution, with generalization across languages (Rust, Go, Python) and tasks (frontend, devops, perf optimization).
🔹Motion-rich frontend - Videos in hero sections, WebGL shaders, GSAP + Framer Motion, Three.js 3D.
🔹Agent Swarms, elevated - 300 parallel sub-agents × 4,000 steps per run (up from K2.5's 100 / 1,500). One prompt, 100+ files.
🔹Proactive Agents - K2.6 model powers OpenClaw, Hermes Agent, etc for 24/7 autonomous ops.
🔹Claw Groups (research preview) - bring your own agents, command your friends', bots & humans in the loop.
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K2.6 is now live on in chat mode and agent mode.
For production-grade coding, pair K2.6 with Kimi Code:
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🔗 API:
🔗 Tech blog:
🔗 Weights & code:
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Opus 4.7 shipped yesterday. It's now live on Commonstack, alongside 47 other models from 11 providers.
Your frontier can be a full portfolio.
If software no longer needs you to operate it, what does an “application” even mean?
That’s what we’re digging into at The Agentic Shift with panels, demos, and speakers from Google, PixVerse, MiniMax + more.
SF | Apr 8
Sign up here:
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Uncommoonroute is now on Commonstack.😎
Route your models and save up to 85% on your API bill.
If you're an OpenClaw🦞 builder and you've been hesitating about which model to pick, this quick comparison might help:
GPT 5.4 Pro is live on Commonstack.
It's OpenAI's most capable model. It also costs $30/$180 per million tokens.
Not every task needs frontier reasoning. Route the hard stuff to 5.4, and the rest to models that cost 100x less.
1 API. 35+ models. Let routing do the math.
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Gemini 3 Flash ranked #1# on PinchBench on OpenClaw agent tasks success rate, followed by MiniMax M2.1 and Kimi K2.5.
Don't forget Gemini 3 Flash Lite: same family, built for high-volume workloads at even lower prices.
All on
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GPT-5.4 & 5.4 Pro are live on
> built for AI agents & automation:
> 1M token context window
> stronger multi-step reasoning
> better tool & function calling
> more efficient token usage
Build your agents with commonstack today
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The wait is over.
Open your Clawbox now!
The easiest way to own your🦞agent.
Zero code. Just download, click, and go.
Grab yours:
