
Founder @cline Join the discord: https://xitter.cf/t.co/rQxzlf8JQN
San Francisco
Joined March 2011
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Excited to share a desktop app purpose built for open weights models!
Under the hood it uses the Cline SDK harness also in our extension and CLI, so it gets the same coding performance.
And peep the new Cline brand :-)
DeepSeek V4.1-Flash-1017 has released, beating GPT 5.6 Sol on Terminal-Bench while being ~17x cheaper.
It improves the previous DeepSeek V4.1-Flash result by 35%, accomplished with "no algorithmic innovation" but instead by RL training it on multiple coding agent harnesses.
Saoud Rizwan retweeted
Now that I'm not in back to back meetings... happy to announce we have added 20 new MCP partners! And many more to come.
Gemini 4 Argon had the best launch day user share of any frontier model on Cline since June.
~3x as many users tried it on day one as Claude Opus 5.5 or Sonnet 5.5.
We're also seeing Argon using 30% fewer tokens on average than Claude models. It's a really efficient model!
Gemini 4 Argon is #1 on Val Index, completing agentic tasks at half the cost of Opus 5.5.
Google shared that the Chrome team recently used Argon to refactor ~6 million lines of legacy features out of a 40-million line codebase, eliminating an entire category of browser crashes.
Gemini 4 Argon is #1 on Val Index, completing agentic tasks at half the cost of Opus 5.5.
Google shared that the Chrome team recently used Argon to refactor ~6 million lines of legacy features out of a 40-million line codebase, eliminating an entire category of browser crashes.
Saoud Rizwan retweeted
Step 5 Preview is now free in @cline for one week.
Our flagship model for agentic and professional work.
Fire up Cline and show us what you build!
Step 5 Preview is now free in Cline.
On DeepSWE it scores ahead of Kimi K3 and GLM-5.3, making it one of the strongest open weights coding models available.
Introducing Step 5 Preview: Advancing the Pareto Frontier.
Step 5 Preview is our new flagship model for agentic work, delivering frontier-level performance across software engineering and professional knowledge work, with particular strength in finance.
- 600B total / 27B active MoE, with 1M context + Vision
- Substantially lower task cost at comparable intelligence
- Broad software engineering capabilities with sustained execution over long horizons
Try Step 5 Preview: platform.stepfun.ai
Model page: stepfun.com/step-5-preview
Open weights on Oct 15.
Sonnet 5.5 beats Opus 5.5 on Terminal-Bench 4.0 at half the cost.
It uses far fewer tokens than previous models to do the same work, showing costs reduced up to 30% per task.
It also generates output 30% faster than its predecessor, making it the fastest Sonnet model to date.
Ember-1 by the Fireworks Research team is built on Kimi K3, and uses ~40% fewer tokens while achieving the same performance on benchmarks.
This was accomplished by post-training K3 to think less repetitively.
Reasoning models spend most of their output tokens (sometimes 90%+) on thinking before they answer, which gets expensive in agentic loops where the model tends to re-think the same thoughts on every step.
Fireworks RL trained on real agentic coding task loops to teach the model which reasoning actually changes the answer vs which is just looping.
In a live A/B test on coding traffic, Ember-1 used 71% fewer reasoning tokens and 39% fewer total tokens than K3 at the same success rate.
New in Cline Desktop: SSH support!
The app stays on your laptop while Cline works on e.g. a dev server, raspberry pi, docker container, anything you can SSH into.
Docs (w/ some videos & getting started guide on SSH):
docs.cline.bot/usage/cline-d…






















