GFireworks AI vs Together AI
Pricing, features, platforms and who each one suits — side by side.
Choose Fireworks AI if…
- you're in its core audience: ai application developers, ml engineers
Choose Together AI if…
- you're in its core audience: ai startups, ml engineers
Side by side
Full feature lists
F
Fireworks AI
- Serverless per-token inference for open models
- Single endpoint across 30+ regions
- Model ensembling that routes each task by accuracy and cost
- Dedicated GPU deployments from H100 to GB300
- Managed fine-tuning and training APIs
- Discounted cached input and 50%-off batch jobs
- Data residency controls and region-restricted deployments
- SOC 2 Type 2 and ISO 27001/27701/42001 certifications
T
Together AI
- Serverless pay-per-token inference for open-source models
- Batch inference up to 30 billion tokens per model
- Provisioned throughput with 99% uptime SLA
- Dedicated single-tenant model and container endpoints
- On-demand and reserved NVIDIA H100, H200, B200, B300 clusters
- LoRA and full fine-tuning with SFT and DPO
- Code sandboxes and code interpreter for agents
- Managed storage with zero egress fees
Their home pages
What each vendor shows first: the pitch, the plans and the sign-up.

Fireworks AI · fireworks.ai
Together AI · together.aiWhat you'd pay
The cheapest plan that fits, per month, billed yearly where the plan offers it.
Fireworks AI
Together AI
Price changes we've recorded
We re-read each pricing page every month and log what changed.
Fireworks AI
- Nov 8, 2026Starting price: none → $8/mo; Reserved Throughput: Custom → Serverless rates, committed; New plan: Nexus Pro ($8); New plan: Nexus Team ($10); New plan: Nexus Enterprise (Custom); New plan: Dedicated GPUs ($8); Plan dropped: Dedicated Training API
Together AI
- Nov 8, 2026Serverless Inference: $0 → $0.15; New plan: GPU Clusters (on-demand) ($3.99); New plan: Dedicated Inference ($5.49); New plan: Fine-tuning ($0.34); Provisioned Throughput: Per PTU per minute → Custom; Plan dropped: Dedicated Inference (On-demand); Plan dropped: Dedicated Inference (Reserved)
Strengths and limitations
Fireworks AI
- Serverless pricing starts at $0.05 per 1M input tokens with no commitment
- Batch jobs cost 50% less
- Idle GPU deployments scale to zero after one hour
- Holds SOC 2 Type 2 and several ISO certifications
- Region-restricted deployments cost 1.5x
- Spot capacity is best-effort and only on select models
- Sovereign is still in private preview
Together AI
- Large catalog of open-source models across text, image, audio and video
- Published per-token and per-GPU-hour prices
- Path from serverless to dedicated and reserved capacity
- Managed storage has no egress fees
- Reserved GPU and dedicated capacity require contacting sales
- Fine-tuning jobs carry minimum charges (e.g. $4–$60)
- Usage-based billing makes monthly costs harder to predict
More comparisons
Other options to consider
G
Fast LLM inference cloud and OpenAI-compatible API built on custom LPU chips
O

One OpenAI-compatible API to reach hundreds of AI models across 80+ providers
R

Run, fine-tune and deploy open-source ML models through a cloud API
D

MOpen-weight AI models, chat and coding agent you can run on your own infrastructure


Open-weight AI models, chat and coding agent you can run on your own infrastructure
O

Run open AI models locally or in the cloud on macOS, Windows and Linux
Facts from each vendor's public pages. Editorial policy