Caretta for
compute reps
For a highly technical product like ours, Caretta provides the technical insights needed when speaking with CTOs and other technical stakeholders.
Ethan Loar GTM at Together AI

When the CTO asks: the answer, cited from your own docs and benchmarks, in the notch before you have to say “let me get back to you”.
- “What's your p95 latency on the 70B under load?”The benchmark table for that model, cited.
- “Do you serve this family in FP8?”Quantization and context limits, per model and version.
- “Which regions can we pin inference to?”Hardware and region availability as of the latest release.
- “What does a committed spend do to per-token pricing?”Your pricing sheet and the discount tiers, in plain terms.
- Aster 2.1 MiniLLM · 32K
- Cinder 2.1 MiniImage · 64K
- Helix 2.1 MiniAudio · 128K
- Kestrel 2.1 MiniMultimodal · 256K
- Lumen 2.1 MiniLLM · 512K
- Meridian 2.1 MiniImage · 32K
- Nova 2.1 MiniAudio · 64K
- Orion 2.1 MiniMultimodal · 128K
- Quanta 2.1 MiniLLM · 256K
- Compute & Inference
Every model, with you in your calls
Modalities, versions, limits, latency and release cycles change constantly. Caretta keeps every detail ready.
- Vanta 2.1 MiniImage · 512K
- Aster 3.0 FlashAudio · 32K
- Cinder 3.0 FlashMultimodal · 64K
- Helix 3.0 FlashLLM · 128K
- Kestrel 3.0 FlashImage · 256K
- Lumen 3.0 FlashAudio · 512K
- Meridian 3.0 FlashMultimodal · 32K
- Nova 3.0 FlashLLM · 64K
- Orion 3.0 FlashImage · 128K
- Quanta 3.0 FlashAudio · 256K
- Vanta 3.0 FlashMultimodal · 512K
- Aster 3.2 ProLLM · 32K
- Cinder 3.2 ProImage · 64K
- Helix 3.2 ProAudio · 128K
- Kestrel 3.2 ProMultimodal · 256K
- Lumen 3.2 ProLLM · 512K
- Meridian 3.2 ProImage · 32K
Built from what your team already ships: Caretta learns your catalogue from your own material and cites it, so you can trust the answer and check it.
- Model cards and release notes
- Benchmarks and latency tables
- Pricing per token and commits
- Hardware and region availability
- Quantization and context limits
- Security and compliance answers
- Every past call with this account
- Docs and changelogs, as they ship
- Start free
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Explore Caretta MetricsDoing well. How's it going? Nice to meet you.
Sorry for coming in a couple of minutes late.
No problem at all, I only just sat down myself.
How are you doing today?
Doing well — business as usual. Could be less busy, but that's fine. How about yourself?
Good, thanks. Are you calling from Oslo? Nice.
I should apologise for the overly polished look — all of our meeting rooms are busy, so I'm in the podcasting studio and it looks a little pretentious.
I love it. I think it's great.
That's good, I'm glad you liked it. I'm interested to see the system properly.
I know you said it would be a hard sell internally, but I'm always open to feedback — we've been in the space for over a year now. To give you more context, we're a startup out of Europe, now based in San Francisco.