Together AI serverless inference token pricing (per 1M tokens, 2026-10-04 list price)
Fields
supply/rent-together-serverless-token-pricingNotes
Together's line item that matters most for inference economics is the SEPARATE GPU Clusters product, priced per GPU-hour on the same page (recorded separately as rent-together-gpu-clusters-b200-hourly in this slice). The serverless table above is per-token and sits on different hardware economics; do not derive one from the other. Two traps: (a) the cached-input rate is not a fixed discount - it is $0.25 against $2.00 (8x) for Qwen3.8-2.4T-A95B but $0.35 against $0.60 (1.7x) for Qwen3.5-397B, so 'use the cache' saves wildly different amounts per model; (b) several Llama rows are priced symmetrically input=output, which makes an input-heavy workload cost materially more on Together than the headline output rate suggests. No regional GPU list and no GPU hourly rate in the serverless section.
EXPORT CONTROL (2026-10-04): NOT APPLICABLE IN THE HARDWARE-SHIPMENT SENSE - this record prices a token-based API, so no accelerator is transferred across a border and the ECCN 3A090 hardware licence regime does not attach to the transaction. Recorded null rather than false precisely because a token API is where export control instead becomes an END-USER/TERMS question: the provider applies geographic and end-user restrictions to service access (the AI Diffusion Rule briefly put a tiered country structure on exactly this kind of service before being rescinded on 2025-05-13), and a customer can still be refused under sanctions or end-use policy regardless of where the compute sits. Anyone reading this record for a restricted destination should look at the provider's terms, not at the EAR. Sources for the regime: spl-bis-2025-05-ai-diffusion-rescission, spl-bis-2026-05-d5-guidance.
EXPORT CONTROL (2026-10-04): NOT APPLICABLE IN THE HARDWARE-SHIPMENT SENSE - this record prices a token-based API, so no accelerator crosses a border and the ECCN 3A090 hardware licence regime does not attach to the transaction. Recorded NULL rather than false precisely because a token API is where export control instead becomes an END-USER and TERMS question: the provider applies geographic and end-user restrictions to service access (the AI Diffusion Rule briefly put a tiered country structure on exactly this kind of service before being rescinded and unenforced from 2025-05-13), and a customer can still be refused under sanctions or end-use policy regardless of where the compute sits. For a restricted destination, read the provider's terms, not the EAR. Sources: spl-bis-2025-05-ai-diffusion-rescission, spl-bis-2026-05-d5-guidance.
LEAD TIME: null - correct and not a gap. A token-priced serverless API is provisioned on request, so there is no lead time to publish; the binding constraint when a model is at capacity is provider-side queuing and any per-account concurrency limit, which this repo records in notes where a vendor publishes one (see the DeepSeek concurrency figures already here). Deliberately NOT recorded: any 'model capacity lead time' estimate, because vendors publish none and the SEO 'GPU lead time' numbers that circulate do not apply to a rented endpoint. Probe log in source spl-negative-no-oem-publishes-lead-time.
ACCELERATOR LINK ADDED 2026-10-04: the serverless table is served on rented NVIDIA capacity (B200-class in this slice; the same page's separate GPU Clusters product is the per-GPU-hour counterpart, recorded in ppl-sup-together-* and together-gpu-clusters-h100). Linked to B200 to make the warning in the notes concrete: per-token serverless rates and per-GPU-hour cluster rates in this vendor's slice sit on different hardware economics and must not be derived from one another.