THE AI NATIVE CLOUD

# Build what's next on the AI Native Cloud.

Train, fine-tune, and serve open-source models on the fastest inference stack — at 10× lower cost than the hyperscalers. From a hosted endpoint to a dedicated GPU cluster.

Get started now Talk to engineers
Available in 14 regions SOC 2 · HIPAA H100 · H200 · B200
AI natives build on Together AI
SALESFORCE NEXUSFLOW DUOLINGO ARCEE.AI WASHINGTON POST ZOOM PIKA
THE PLATFORM

## The Together AI Platform.

Full-stack infrastructure for AI workloads — from serverless inference to dedicated training clusters. Drop-in compatible with the OpenAI client. No vendor lock-in.

10×
Lower inference cost vs. hyperscaler endpoints
200+
Open-source models · serverless and dedicated
99.9%
Uptime SLA · enterprise tier
Inference Fine-tuning GPU Clusters Evaluations
SERVERLESS INFERENCE

## One API. Two hundred models.

Llama, Mistral, Qwen, DeepSeek, Stable Diffusion, FLUX, and every major open-source release — behind a single endpoint that's drop-in compatible with the OpenAI client. Pay only for the tokens you use.

Read the docs View model catalog
PYTHON inference.py — together / serverless
1# Drop-in compatible with the OpenAI client
2 from together import Together
3
4 client = Together()
5
6 response = client.chat.completions.create(
7 model="meta-llama/Llama-3.3-70B-Instruct-Turbo",
8 messages=[{"role": "user", "content": "Hello"}],
9 stream=True,
10)
11
12 for chunk in response:
13 print(chunk.choices[0].delta.content or "", end="")
RESEARCH

## Grounded in cutting-edge research.

The team behind FlashAttention, RedPajama, and the Together Inference Engine. We publish what we ship, and we ship what scales.

INFERENCE

### The Together Inference Engine

An end-to-end stack that delivers 3-4× higher throughput than vLLM on the same hardware, with sub-100ms first-token latency on Llama 3.3 70B.

v3.2 GA · Dec '25
DATA

### RedPajama-v2

30T tokens of curated pretraining data with full provenance. Used to train Mistral, Mixtral, and a generation of open-source frontier models.

DATASET 30 trillion tokens
ATTENTION

### FlashAttention-3

The H100-optimized attention kernel that ships in every major training and inference framework. Open source, MIT-licensed.

PAPER NeurIPS '24
PRICING

## Transparent per-token pricing.

Pay only for what you generate. No volume tiers, no marketing seats. Switch to a dedicated endpoint when you outgrow serverless.

TEXT VISION IMAGE AUDIO VIDEO
STANDARD WHOLESALE

MODEL | CONTEXT | INPUT | OUTPUT | STATUS
--- | --- | --- | --- | ---
Llama 3.3 70B Instruct Turbo meta-llama / 70B | 128K | $0.88/ 1M tok | $0.88/ 1M tok | ON-DEMAND
DeepSeek V3 deepseek-ai / 671B MoE | 64K | $1.25/ 1M tok | $1.25/ 1M tok | ON-DEMAND
Mixtral 8×22B Instruct mistralai / 141B MoE | 64K | $1.20/ 1M tok | $1.20/ 1M tok | ON-DEMAND
Qwen 2.5 72B Instruct alibaba / 72B | 32K | $0.90/ 1M tok | $0.90/ 1M tok | ON-DEMAND
Llama 3.1 8B Instruct Turbo meta-llama / 8B | 128K | $0.18/ 1M tok | $0.18/ 1M tok | ON-DEMAND

Get started now View full catalog All prices in USD. Wholesale tier available for 50M+ tokens/mo.
WHAT'S NEW

## From the Together blog.

INFERENCE

### The Together Inference Engine v3.2 — sub-100ms first-token latency on Llama 3.3 70B.

How we cut tail latency on the most-served open model by 38% with speculative decoding, prefix caching, and a redesigned scheduler.

BY THE INFRA TEAM · 2026-04-12
CUSTOMERS

### How Pika ships frontier video models on 4,096 H200s.

A look inside Pika's training pipeline — 32-node clusters, gradient checkpointing, and the schedule that lets the research team prioritize without breaking SRE budgets.

CASE STUDY · 2026-03-28
DESIGN SYSTEM · V.ALPHA

## The system in the open.

Tokens and primitives behind the Together surface — colors grouped by role, the display-sans + uppercase-mono ladder, the lightly-rounded radius scale, and the canonical component set. Source: DESIGN.md. Dark hero, white middle, gradient ribbon as the single piece of chrome.

01 · Color

### Black CTA. Dark-light alternating bands. Three-stop gradient as decoration.

Brand & Gradient
primary / ink
#000000
accent-orange
#fc4c02
accent-magenta
#ef2cc1
accent-periwinkle
#bdbbff
accent-mint
#c8f6f9
brand gradient
3-stop
Surface
canvas
#ffffff
canvas-dark
#010120
surface-dark-soft
#313641
surface-dark-bord
#26263a
hairline
#ebebeb
hairline-strong
#d4d4d4
Text
ink
#000000
body
#959494
on-dark
#ffffff
on-dark-muted
#b6b6c4
02 · Typography

### Display sans for narrative. Uppercase mono for every label.

display-xxl
64 / 500 / -1.92
Build what's next on the AI Native Cloud.
display-xl
40 / 500 / -0.8
The Together AI Platform.
display-lg
28 / 500 / -0.42
Grounded in cutting-edge research.
display-md
22 / 500 / -0.22
Card titles, research-card headings.
body-lg
18 / 400 / -0.18
Lead paragraphs sit slightly larger than body.
body-md
16 / 400 / -0.16
Default body paragraph copy.
body-md-strong
16 / 500 / -0.16
Bolded inline body emphasis.
mono-caps-button
Mono / 16 / 500 / 0.08
GET STARTED NOW
mono-caps-eyebrow
Mono / 11 / 500 / 0.55
SECTION EYEBROW
caption
14 / 400 / 0
Caption for fine print.
mono-caption
Mono / 10 / 400 / 0.05
BY THE INFRA TEAM · 2026-04-12
03 · Radius

### 4px is the canonical radius. Pills only for the chat orb.

none
0
xs
3.25
sm
4px
md
8px
full
9999
04 · Components

### Black CTA pill. Mint and white reserved for hero. Hairline cards.

#### Buttons

Mono uppercase labels. Black is the canonical CTA. Mint and white live in hero contexts.
Get started now View docs
Get started Talk to engineers Read more

#### Inputs

4px radius, hairline-strong border. Inverts to ink border on focus.
WORK EMAIL
USE CASE (FOCUSED)

#### Cards

Hairline 4px on white. Surface-dark-bord 4px on dark. No shadows.
ARTICLE-CARD
Light surface, hairline border.
Used for testimonials and blog cards.
RESEARCH-CARD
Dark surface on the research band.
Mono eyebrow + display headline + body.

#### Tags & badges

All caps mono. Light hairline default. Gradient tag is the brand chrome at chip scale.
DEFAULT ON-DEMAND NEW FRONTIER
STANDARD WHOLESALE
together.ai
VIEW DESIGN.MD ↗