Together AI
@togethercompute
Accelerate inference, model shaping, and pre-training on a research-optimized platform.
279 Following 64.8K Followers
Two companies, one goal: open models that work for builders at any scale.
@jmorgan of @ollama and @vipulved of Together AI on where open models win, how to spend tokens wisely, and what developers want next.
📽️:
Show more
minimax m3.1 flash is now available for post-training on together ai
run sft or rl with your own data, rewards + environments, while keeping the training loop in your own python code
take m3.1 flash and shape it for the agentic workload you need
Show more
factory got early access to beam through together before launch
they used that window to test @reflection_ai's model on real coding + agentic workflows, including tool-error recovery, conflict handling + final repo verification
by day 0, @FactoryAI already knew how beam behaved on the work that matters to their customers
Show more
minimax m3.1 flash is now live on together ai
we’re excited to be a day-0 launch partner for the model, aka space bunny
m3.1 flash is built for agentic tasks, coding, computer use + cybersecurity, with a 1m context window and vision support
try it now
Show more
sf, join us this thursday for step 5 preview launch night with stepfun
we’ll dig into the model, building + serving agent workloads, and what’s worth building as models keep improving, with dan fu, hongyu zhou, mar hershenson, saoud rizwan, joey wang
rsvp:
Show more
Who is Space Bunny? 🐰🌕
Something's hopping onto Together AI 🔜⏳
congrats to the StepFun team on releasing Step 5 Preview open weights today
we’re excited to be a launch partner and to support another StepFun release as they bring Step 5 Preview to developers
Congrats to the Reflection team on Beam 🎉
Be sure to join us next week at our NYC meet-up with the Reflection team and NVIDIA
Announcing Together Link!
Run frontier open models in your favorite coding harness.
Track your spending and let our Auto router pick the model for you: low-cost models for quick fixes, more capable models for harder tasks.
Show more
Great talk from Yogish Baliga "From Vim (:wq) to 'You're absolutely right!'" tracing 20+ years of software engineering evolution.
Highlights:
1/ open-weight models have closed the gap with closed models for most use cases
2/ open models often pass closed model quality with multiple passes
3/ agentic workloads are already running mostly on open models (30%→78% in 13 weeks on Vercel's AI Gateway)
Software engineering has come a long way over the last 20+ years and the future looks like it’ll be built on open models.
Show more
TogetherLink, coming soon.
Together is #1# on @OpenRouter token share across top open coding models, today:
🥇 @Zai_org GLM 5.3 Flash: 29.2%
🥇 @deepseek_ai V4.1 Flash: 25.6%
🥇 @Kimi_Moonshot Kimi K3: 18.9%
Running coding agents on open models? Look no further.
Show more
Qwen3.8-Flash is 40% off through the rest of the month, making now a perfect time to run your evals.
Designed for high-volume applications like coding and coworking assistants, @Alibaba_Qwen's model optimizes quality at a low cost.
Try it today:
Show more
We are proud to be launch partners for NVIDIA Open Agent Safety Platform.
We believe safe and responsible AI development is critical as the use of agents scale and they get more prevalent. Together AI is committed to safe AI and we have built platform capabilities for secure development and deployment of agents. We will continue investing in this space, including our work with NVIDIA on OpenShell.
Show more
Today, with over 100 industry partners, we introduced the NVIDIA Open Agent Safety Platform, bringing together OpenShell and Sentry.
Artificial intelligence is extraordinary technology that will advance discovery, productivity, security, health, and prosperity for generations to come.
But its full promise can only be realized when people have confidence that AI is being built to be safe and deployed with wisdom and responsibility.
This is bigger than a single product. It's the beginning of an open ecosystem to build the trust layer for safe agent systems.
Together, we are building the foundation of the AI economy.
Trust and innovation are not in conflict. Safety is how trust is earned. We must build not only the most capable AI, but the most trusted AI, so that this extraordinary technology can realize its enormous promise for the world.
Show more
Our serverless APIs for open weights models have become exquisite machinery (that we plan to write more about soon!)
One effect is that @togethercompute now one of the largest originators of open tokens in the US, with a wild week over week growth curve that reflects the pace of OSS adoption. Will serve 1.8T tokens today on @OpenRouter alone.
You can get started with $5 —
Show more
Reliable, fast inference is essential. As Ted shared at Apsara Conference 2026, Together makes it easy for teams to get access to frontier open models without needing to manage any of the infrastructure complexity.
See for yourself
Show more
Making AI simpler for businesses.
At #ApsaraConference2026#, Ted Cui, VP of Engineering and Inference Platform at Together AI, spoke about AI becoming more accessible, with model selection becoming less of a concern for businesses.
Find out more:
#AgenticEra# #AgentNative# #AIAgentsAtApsara# #BringYourAgent# #AlibabaCloud#
Show more
Training your own Jev in minutes.
For $17.
Just trained Tev1 0.8B, a tiny Jev-like classifier.
Here it is running completely locally on my mac with @ollama & classifying some tasks.
It's extremely fast: only ~50ms E2E latency. Video is not sped up!
Releasing weights & benchmarks very soon so you can try it yourself :)
Show more
Announcing tev1-4B-experimental, a Jev-like classifier finetuned on top of Qwen3.5 4B for only $17.
I'm releasing everything: the weights, data recipe, & a full tutorial on how to train your own.
You can try it today on Together serverless at $0.042/1M input & $0/M output.
Show more
"We discovered early on that it's really hard to reliably deploy AI in the real world. Frontier models are really strong, but they're really slow for real-time use cases."
See how @DecagonAI partners with Together to power its voice AI concierge.
Show more
We're releasing tev1-4B-experimental, a Jev-like classifier finetuned on top of Qwen3.5 4B.
We're making it available on Together serverless at $0.042/M input & $0/M output.
Also releasing the data recipe & a tutorial on how to finetune your own (Tev1 cost $17 to train!).
Show more
