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Fireworks AI vs Together AI: Token Pricing, Speed & Intelligence

Full comparison of Fireworks AI and Together AI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.

Fireworks AI

Production-grade open-source inference with fast cold starts

Fireworks AI provides optimised inference for open-weight models with a focus on production reliability and low latency. They host Llama, DeepSeek R1, and other popular open-source models with competitive per-token pricing and a serverless deployment model that minimises cold-start times.

ProductionReasoningSpeedOpen-sourceCoding
Open-weight hostHosts open weights

Together AI

Open-source model hosting with competitive inference pricing

Together AI specialises in hosting open-weight models including the full Llama family, Mixtral, and DeepSeek variants. They offer live pricing via their public API and support fine-tuning workflows. A popular choice for teams that want open-source flexibility without managing their own GPU infrastructure.

Open-sourceFine-tuningCodingChatCost-efficiency
Open-weight hostHosts open weights

Key metrics

Cheapest input ($/1M)

Cheapest output ($/1M)

Peak throughput

Best latency (TTFT)

Intelligence score

Context window

Live token pricing

Strengths & weaknesses

Fireworks AI

320+ tokens/sec on Llama 3.3 70B — fast GPU inference
DeepSeek R1 hosting with strong reasoning capability
Production-grade reliability with SLAs
Serverless with minimal cold-start times
OpenAI-compatible API
Smaller model catalog than Together AI
No fine-tuning on standard plans
Slightly higher pricing than budget alternatives

Together AI

Largest selection of open-weight models
Fine-tuning support for custom model training
OpenAI-compatible API — easy migration
Competitive pricing on Llama 3.x models
Supports 405B parameter models
No proprietary frontier models
Throughput lower than Groq/Cerebras for speed-critical apps
Fine-tuning adds complexity vs. pure inference providers

Key differentiators

Fireworks AI

Production-grade reliability with 320+ tokens/sec throughput and DeepSeek R1 reasoning at $3/1M input — a strong balance of speed and capability.

Together AI

The broadest open-weight model catalog with fine-tuning support — ideal for teams that need model customisation without self-hosting.

Frequently asked questions

Fireworks AI FAQs

What models does Fireworks AI offer?

Fireworks AI hosts Llama 3.3 70B, DeepSeek R1, Mixtral, and other popular open-weight models. They focus on production-ready models with optimised inference rather than the broadest possible catalog.

How much does Fireworks AI cost?

Llama 3.3 70B costs $0.90/1M tokens (input and output). DeepSeek R1 is $3.00/1M input and $8.00/1M output. Pricing is competitive with other inference API providers.

How does Fireworks AI compare to Together AI?

Fireworks AI offers faster throughput (320 vs 190 tokens/sec on Llama 3.3 70B) and stronger production reliability. Together AI has a larger model catalog and fine-tuning support. Choose Fireworks for production speed, Together for model variety.

Together AI FAQs

What models does Together AI support?

Together AI hosts 100+ open-weight models including the full Llama 3.x family (8B, 70B, 405B), Mixtral, DeepSeek R1, Qwen, and many others. They also support custom fine-tuned model deployment.

How much does Together AI cost?

Llama 3.3 70B costs $0.88/1M tokens (input and output). Llama 3.1 405B is $3.50/1M tokens. Smaller models like Llama 3.2 11B Vision start at $0.18/1M tokens.

Does Together AI support fine-tuning?

Yes. Together AI offers supervised fine-tuning for Llama and other open-weight models. You can upload training data, run fine-tuning jobs, and deploy the resulting model via their inference API.

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