A cloud platform for running 200+ open-source AI models at high speed — choose Llama, Mistral, Qwen, and more, paying only for actual compute used.
Best For
Teams & solo builders
Key Pros & Cons
Strengths
- Full REST API — automatable and CI/CD-friendly
- Headless viable — runs without a GUI, suitable for server-side use
- Official SDK — reduces integration boilerplate
- Bulk data export — your data stays portable
- Webhook support — enables event-driven pipelines
Watch Out For
- Per-token billing — costs scale unpredictably with usage volume
- Low community score (2/100) — smaller support network
Market Momentum
31
+14
24h
+5
7d
-29
30d
14-day heat score history
Creator Buzz3
Search Interest51
Community Activity2
Growth Momentum53
Score ForecastConfidence: low
25
7-day est.
25
14-day est.
Trend slope: 0.00 pts/day
What This Score Means
Together AI has reached peak visibility in AI Frameworks and is beginning to pull back — now is a good time to evaluate whether the team is sustaining investment.
Community Signals
npm Downloads
62K
/ week
together-ai
Abandonment & Maintenance Risk
High Risk
Trend phasePeak
30-day score change-29 pts
Listed on HookFlow5mo old
Discontinued flag✓ No
npm packagetogether-ai
Risk Factors
- Rapid score decline over 30 days
A.R.C. Infrastructure Assessment
Architecture (40%)82
Reliability (35%)78
Context (25%)65
API Access
Full REST API
Data Portability
Partial Export
Headless Viable
Yes ✓
Official SDK
Yes ✓
Context Window
33K tokens
Uptime (30d)
99.3%
Unit Cost
$0.0002–$0.0008 / 1K tokens
Billing Model
Per Token
✓ Text✓ Vision✓ Code○ Stateful○ Replaces Multiple Tools
Native Integrations
REST APIOpenAI-compatible endpoint
Status page: https://status.together.ai
Data Lock-In Index
0
/ 100 (lower = more open)
Open-Data Compliant ✓✓ Webhooks Out✓ Bulk Export✓ Open Formats
Pricing: Paid | Free trial: Yes
vs. Category Peers (AI Frameworks)
Tool
A.R.C.
Heat
7d Δ
Lock-In
Together AI (this)
Scalable LLM API access
C
31
+5
0
Replicate▲ Declining
C
51
-7
0
Burn
—
46
+8
33
LangChain▲ Declining
LLM application framework for chains and agents
B
45
-1
0
Candle
—
44
+7
33
Haystack▲ Peak
—
40
+3
100
Lock-In: 0 = fully open, 100 = maximum data lock-in. A.R.C. = Architecture · Reliability · Context score (A–F).
Snapshot Disclaimer: All scores, rankings, and metrics in this report reflect data as of August 4, 2026. Heat scores, community activity, and market momentum are recalculated daily — figures shown here represent a point-in-time snapshot and may differ from current values on HookFlow.ai.
HookFlow.ai Infrastructure Report — August 4, 2026hookflow.ai