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Fireworks AI vs Together AI 2026: Self-Serve RL vs Dedicated GPU Endpoints

Quick verdict: Together AI is our overall pick for Fireworks AI vs Together AI.

Together AI holds the slight edge on rating (4.1 vs 4.0) and on free-credit depth ($5 vs $1 for new accounts). Fireworks AI wins on training breadth: the only provider with a full self-serve SFT/LoRA/RL stack under one inference API, plus a published 99.9% uptime SLA.

~980 words · 2 tools compared

Tool Rating Pricing Best for
Fireworks AI Best for teams 4.0/5 $0.10/1M tokens Fireworks AI runs 200+ open-source LLMs with a self-serve post-training stack (SFT/LoRA/RL…
Together AI Best overall Best free 3.9/5 $0.05/1M tokens Together AI is an open-model inference platform with 100+ open-source models, fine-tuning …
Bottom line: Together AI for high-volume, predictable LLM inference — per-token pricing from $0.10/1M, dedicated GPU endpoints from $0.80/GPU/hr, and native fine-tuning from $3/M tokens with a $5 new-account credit. Fireworks AI when the post-training loop is the product: SFT/LoRA/RL self-serve, 200+ open models across five modalities, and a 99.9% uptime SLA that Together does not publish. Free-credit gap: Together's $5 lets you run a real evaluation; Fireworks' $1 does not — add a payment method early to lift the default $50/month usage limit.

Pricing and details

Fireworks AI · 4.0/5

$1 free credit for new accounts · $0.10/1M tokens

Pay-per-token for serverless; new accounts get only $1 in free credits (less than Together AI's $5 and Cerebras' 1M tokens/day); Serverless from $0.10/1M tokens for text & vision under 4B; On-Demand dedicated from $7.00/hr H100 (billed per second, no cold-boot cost); LoRA fine-tuning from $0.50/1M training tokens; Usage limit tier 1 = $50/month by default, hard-blocks requests when exceeded even with remaining credits

Inference · API · Fine-Tuning · Open-Source

Fireworks AI runs 200+ open-source LLMs with a self-serve post-training stack (SFT/LoRA/RL) and 99.9% uptime SLA — pay-per-token serverless, no GPU provisioning, Day-0 support for new open weights.

Score breakdown

Evidence legend: ★ Hands-on tested = we used the product ourselves; Verified (docs) = checked against the vendor’s own pages and pricing.

FunctionalityVerified (docs)
5.0
UsabilityVerified (docs)
4.0
StabilityVerified (docs)
4.0
CollaborationVerified (docs)
2.0
LocalizationVerified (docs)
3.0
ValueVerified (docs)
3.0

📎 Research-only: only provider with full self-serve post-training stack (SFT/LoRA/RL) under one inference API; Day-0 open model support; 99.9% uptime SLA; $1 free credit (shallow); On-Demand $7/hr H100 adds up on always-on

Pros

  • Best dimension: Core features at 5/5 — only provider with full self-serve post-training stack (SFT/LoRA/RL pipelines) under one inference API; 200+ open models across five modalities; Day-0 support for new open-source weights.
  • Stability at 4/5 — 99.9% uptime SLA with 15T tokens/day operational scale; no cold boots on Serverless.
  • Ease of use at 4/5 — OpenAI/Anthropic-compatible API; one-line migration for chat completion and embedding calls.
  • Pricing: Pay-per-token serverless from $0.10/1M; On-Demand from $7.00/hr H100 billed per second; LoRA fine-tuning from $0.50/1M tokens

Cons

  • Weakest dimension: Value for money at 3/5 — not always the cheapest per-token option; On-Demand GPU $7.00/hr adds up quickly for always-on deployments.
  • Free credit only $1 for new accounts — far less than Together AI ($5) or Cerebras (1M tokens/day); limits free-tier evaluation depth.
  • Weigh value and free-credit depth before committing.

Pricing verified 2026-09-11

Together AI · 3.9/5

$5 free signup credit · $0.05/1M tokens

Pay-per-token, no monthly minimums; $5 free signup credit (no credit card required for trial); cheapest: GPT-OSS 20B $0.05/$0.20 per 1M; Llama 3.3 70B $0.88 flat per 1M; DeepSeek V3.1 $0.60/$1.70; DeepSeek V4 Pro $2.10/$4.40; fine-tuning LoRA extra; Batch API 50% off; dedicated GPU hours separate

Usage-based · Inference · API

Together AI is an open-model inference platform with 100+ open-source models, fine-tuning support, and dedicated GPU capacity — built for production AI teams.

Score breakdown

Evidence legend: ★ Hands-on tested = we used the product ourselves; Verified (docs) = checked against the vendor’s own pages and pricing.

FunctionalityVerified (docs)
4.0
UsabilityVerified (docs)
3.0
StabilityVerified (docs)
4.0
CollaborationVerified (docs)
3.0
LocalizationVerified (docs)
2.0
ValueVerified (docs)
4.0

📎 Research-only: strong open-model catalog + fine-tuning; no permanent free tier (only $5 credit); open-source only (no proprietary models); dedicated GPU option for production; English-only

Pros

  • Best dimension: Core features at 4/5 — backed by verification against the official site & pricing.
  • Second strong point: Stability at 4/5.
  • Pricing: Pay-per-token, no monthly minimums
  • Positioning: Together AI is an open-model inference platform with 100+ open-source models, fine-tuning support, and dedicated GPU capacity — built for production AI teams.

Cons

  • Weakest dimension: Localization at 2/5.
  • Weigh localization before committing.

Pricing verified 2026-09-07

Frequently asked questions

Which is better overall, Fireworks AI or Together AI?

Together AI is our overall pick (3.9/5 vs 4.0/5). Together AI holds the slight edge on rating (4.1 vs 4.0) and on free-credit depth ($5 vs $1 for new accounts). Fireworks AI wins on training breadth: the only provider with a full self-serve SFT/LoRA/RL stack under one inference API, plus a published 99.9% uptime SLA.

Do Fireworks AI and Together AI offer free plans?

Neither advertises a free plan; check current trial terms before committing.

What does Together AI cost?

$0.05/1M tokens — Pay-per-token, no monthly minimums; $5 free signup credit (no credit card required for trial); cheapest: GPT-OSS 20B $0.05/$0.20 per 1M; Llama 3.3 70B $0.88 flat per 1M; DeepSeek V3.1 $0.60/$1.70; DeepSeek V4 Pro $2.10/$4.40; fine-tuning LoRA extra; Batch API 50% off; dedicated GPU hours separate. Prices were last verified on 2026-09-11.

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