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Fireworks AI vs Together AI

Fireworks AI or Together AI? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.

In short

  • Both: Choice of models, API, Runs models for you
  • Only Fireworks AI states: Command line, Official SDKs
  • Only Together AI states: Runs commands, Builds agents and workflows, Traces and evaluates

Fireworks AI

Fireworks AI hosts, fine-tunes, and serves open models through serverless and dedicated APIs.

Plans

Serverless Inference — Embeddings (up to 150M parameters)

  • $0.008 / 1M input tokens
  • Per-token pricing
  • Zero setup
  • No cold starts
  • High rate limits
  • Postpaid billing

Serverless Inference — Embeddings (150M–350M parameters)

  • $0.016 / 1M input tokens
  • Per-token pricing
  • Zero setup
  • No cold starts
  • High rate limits
  • Postpaid billing

Serverless Inference — Qwen3 8B

  • $0.1 / 1M input tokens
  • Per-token pricing
  • Zero setup
  • No cold starts
  • High rate limits
  • Postpaid billing

Managed Training — Models up to 16B parameters

  • $0.50 / 1M training tokens
  • $1.00 / 1M training tokens
  • $2.00 / 1M training tokens
  • Supervised and preference fine-tuning
  • Serve fine-tuned models for the same price as base models

Managed Training — Models 16.1B–80B

  • $3.00 / 1M training tokens
  • $6.00 / 1M training tokens
  • $12.00 / 1M training tokens
  • Supervised and preference fine-tuning
  • Serve fine-tuned models for the same price as base models

Managed Training — Models 80B–300B

  • $6.00 / 1M training tokens
  • $12.00 / 1M training tokens
  • $24.00 / 1M training tokens
  • Supervised and preference fine-tuning
  • Serve fine-tuned models for the same price as base models

Managed Training — Models over 300B

  • $10.00 / 1M training tokens
  • $20.00 / 1M training tokens
  • $40.00 / 1M training tokens
  • Supervised and preference fine-tuning
  • Serve fine-tuned models for the same price as base models

Serverless Training API — GLM 5.3

  • $4.86 / 1M Prefill
  • $0.972 / 1M Cached Prefill
  • $12.15 / 1M Sample
  • $14.58 / 1M Train
  • Shared, always-on trainer pool for LoRA training
  • No provisioning or idle cost
  • Pay only for tokens prefetched, sampled, and trained

Serverless Training API — Qwen 3.8 27B

  • $1.86 / 1M Prefill
  • $0.372 / 1M Cached Prefill
  • $5.595 / 1M Sample
  • $4.103 / 1M Train
  • Shared, always-on trainer pool for LoRA training
  • No provisioning or idle cost
  • Pay only for tokens prefetched, sampled, and trained

Serverless Training API — Kimi K3

  • $10.87 / 1M Prefill
  • $2.17 / 1M Cached Prefill
  • $27.11 / 1M Sample
  • $32.55 / 1M Train
  • Shared, always-on trainer pool for LoRA training
  • No provisioning or idle cost
  • Pay only for tokens prefetched, sampled, and trained

Prices checked 2026-09-25 on the maker’s page.

Capabilities

  • Command line — “Developers Model Library Docs CLI API Changelog” source
  • Choice of models — “Route to the best open or closed model for every task, and cut your AI coding spend 50 to 75%.” source
  • API — “Serverless. Pay per token with Priority and Fast options to meet your requirements. OpenAI and Anthropic compatible.” source
  • Official SDKs — “The Fireworks Training SDK lets us focus on our research instead of wrestling with infrastructure.” source
  • Runs models for you — “Serve the latest open models, or your own trained versions.” source

Security

  • SOC 2 Type II — “SOC 2 Type 2” source
  • SOC 2 — “SOC 2 Type 2” source
  • ISO 27001 — “ISO 27001 Certificate” source
  • ISO 42001 — “ISO 42001 Certificate” source
  • GDPR — “Compliance SOC 2 Type 2 HIPAA GDPR” source
  • HIPAA — “SOC 2 Type 2 HIPAA” source

Latest updates

About Fireworks AI

Together AI

Together AI provides APIs and infrastructure for running, fine-tuning, and training open AI models.

Plans

Serverless Inference

  • MiniMax M3 — $0.30 per 1M tokens (Input)
  • MiniMax M3 — $1.20 per 1M tokens (output)
  • Kimi K3 — $3.00 per 1M tokens (Input)
  • Kimi K3 — $15.00 per 1M tokens (output)
  • GLM-5.3-Flash — $0.15 per 1M tokens (Input)
  • GLM-5.3-Flash — $0.50 per 1M tokens (output)
  • GPT Image 2 — $0.053 per image
  • Wan 2.6 Image — $0.03 per image
  • ByteDance Seedance 2.5 — $0.115 per video
  • ByteDance Seedance 2.0 — $0.16 per video
  • NVIDIA Nemotron 3 ASR Streaming 0.6B — $0.0015 per audio minute
  • Whisper Large v3 — $0.0015 per audio minute
  • High-performance inference as APIs
  • Prices vary by model and task; the page also lists batch API prices.

Dedicated Inference — NVIDIA HGX H100

  • $5.49 per gpu per hour
  • $3.99 per gpu per hour
  • Single-tenant GPU instances
  • Guaranteed performance (no sharing)
  • Support for custom models
  • Autoscaling & traffic spike handling

Dedicated Inference — NVIDIA HGX B200

  • $8.99 per gpu per hour
  • Single-tenant GPU instances
  • Guaranteed performance (no sharing)
  • Support for custom models
  • Autoscaling & traffic spike handling

Dedicated Inference — other hardware

Price on request

  • NVIDIA HGX H200, NVIDIA HGX B300, NVIDIA GB200 NVL72, and NVIDIA GB300 NVL72
  • Contact sales

GPU Clusters — On-demand

  • NVIDIA HGX B200 $8.19 per GPU per hour
  • NVIDIA HGX B300 $9.99 per GPU per hour
  • NVIDIA HGX H100 $3.99 per GPU per hour
  • NVIDIA HGX H200 $5.99 per GPU per hour
  • Pay-as-you-go GPU capacity on an hourly basis

GPU Clusters — Preemptible and reserved

  • NVIDIA HGX H100 Preemptible Compute $1.99 per GPU per hour
  • NVIDIA HGX H100 ON-Demand $3.99 per GPU per hour
  • NVIDIA HGX H100 7-30 days $3.69 per GPU per hour
  • NVIDIA HGX H100 31-90 days $3.45 per GPU per hour
  • NVIDIA HGX H100 91-180 days $3.19 per GPU per hour
  • On-demand hourly rates and reserved capacity
  • Reservation terms shown as 7-30, 31-90, and 91-180 days, and 181+ days

Code Sandbox

  • Per vCPU $0.0446 per hour
  • Per GiB RAM $0.0149 per hour
  • Customize a deployment of VM sandboxes for large development environments

Code Interpreter

  • Session (60 minutes) $0.03 per session
  • Execute LLM-generated code securely using the API

Managed Storage

  • Shared Filesystem $0.16 GiB/month
  • High-bandwidth, parallel filesystem colocated with your compute

Prices checked 2026-09-25 on the maker’s page.

Capabilities

  • Runs commands — “await client.commands.run("npm install && npm run build")” source
  • Choice of models — “Scale to 30 billion tokens per model with any serverless model or private deployment.” source
  • API — “High-performance inference as APIs” source
  • Runs models for you — “The fastest way to run open-source models on demand.” source
  • Builds agents and workflows — “Build voice agents for production” source
  • Traces and evaluates — “Measure model quality” source

Latest updates

About Together AI