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Together AI
Together AI
Together AI publishes a pricing page with 5 discoverable plan tier(s). No per-unit price was found on the page; an agent has no direct way to estimate the cost of a single task. Self-serve signup exists alongside a sales-led / custom tier. No public API documentation URL was discovered.
Pricing — ⚡️ FlashAttention-4: up to 1.3× faster than cuDNN on NVIDIA Blackwell →
Higher volume
Higher volume
Higher volume
Higher volume
How Together AI scores on the agent-ready dimensions
Public pricing
15 / 15
Usage-based / metered
0 / 25
Self-serve checkout
15 / 15
Public API
0 / 15
Low / no minimum
0 / 10
Unauth automated payment
3 / 10
Bonus (machine-readable pricing)On top of /100 base
0 / 5
Total
35 / 100
Six-step check: can an agent actually buy from Together AI?
Discover price
https://www.together.ai/pricing — model-by-model tableSelect a plan
Serverless, dedicated, GPU clusters, fine-tuning programs all distinctPay per task
Per-token serverless billing on every chat modelAvoid a sales call
Serverless and on-demand GPUs self-serve; reserved >6mo gatedAPI docs without auth
https://docs.together.ai publicEstimate cost upfront
Token rates exposed at model granularityPros and cons for AI agents
Observational summary written by xpay from the signals captured on 2026-05-03. Not a review of the product — only of its current pricing posture for agent buyers.- Pricing is publicly visible on an indexable page — agents can read tiers without scraping past auth.
- Per-unit billing is published, so an agent can budget for a single task before committing.
- API documentation is reachable without a login — discovery and integration can happen in one session.
- Per-unit rate is concrete enough that an agent can model expected spend before issuing a request.
- Some tiers are sales-led; the highest-capacity surfaces are not self-serve.
- PPU requires account creation and an issued API key; a fully unauthenticated agent purchase is not yet supported.
- No /.well-known/ai-pricing.json or equivalent machine-readable pricing manifest is published — agents must rely on HTML scraping.
How Together AI could lift its score
Add a per-unit price (e.g. $X / 1K calls) to the pricing page so an agent can compute its own cost before committing.
| pricing_visible | true |
| headline_phrasing | Pricing — ⚡️ FlashAttention-4: up to 1.3× faster than cuDNN on NVIDIA Blackwell → |
| tier_count | 6 |
| lowest_paid_entry_usd | null |
| free_tier | false |
| free_tier_terms | null |
| per_unit_price | null |
| annual_required | false |
| self_serve_paid_tiers | 5 |
| sales_only_tiers | 0 |
| public_api_docs_url | null |
| api_docs_auth_walled | null |
| ai_pricing_json_present | false |
| agents_txt_present | false |
| anonymous_purchase_path | false |
| per_unit_classification | null |
| usage_headline_present | false |
| custom_tier_present | true |
| agent_friendly | {"ai_pricing_json":false,"agents_txt":false,"llms_txt":true,"sitemap_xml":true,"mcp_server_card":false,"agent_skills_index":false,"x402_supported":false} |
View raw extracted page text →
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See agent-ready picksTogether AI
35
/ 100 (rubric v1.1)AI Inference
Pricing — ⚡️ FlashAttention-4: up to 1.3× faster than cuDNN on NVIDIA Blackwell →
6
No
Sales-led
5 / 0
Auth-walled
No
Not published
2026-05-03
Discovery files and protocols
Side-channel signals — informational, not part of the score. Each protocol is independent; adoption signals the publisher is thinking about agent buyers.ai-pricing.json
agents.txt
llms.txt
sitemap.xml
MCP Server Card
Agent Skills
x402 / MPP
Compare Together AI with peers
Highest-scoring companies in the same category that an AI agent might evaluate as an alternative.Groq
87
OpenAI
81
RunPod
79
Replicate
78
Anthropic
76
Modal
76
DeepInfra
76
Fireworks AI
74
Explore the Agent-Ready SaaS Index
25,480+ SaaS scored on agent-buyability — browse by readiness band, category, or jump straight to a pay-per-run tool on xpay.tools.
