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Fireworks AI vs Hyperbolic: Token Pricing, Speed & Intelligence

Full comparison of Fireworks AI and Hyperbolic — 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

Hyperbolic

Open-source inference marketplace — Llama, DeepSeek R1, and more

Hyperbolic provides a marketplace for open-source model inference, hosting Llama 3.3, DeepSeek R1, and other popular models at competitive prices. Their platform emphasises accessibility and affordability, making frontier open-weight models available to developers and researchers at low cost.

Cost-efficiencyResearchOpen-sourceExperimentationBudget workloads
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

Hyperbolic

Among the lowest prices for open-weight model inference
DeepSeek R1 and Llama 3.3 available at competitive rates
Marketplace model — broad model selection
OpenAI-compatible API
Good for research and experimentation
Less established reliability than larger providers
Throughput lower than Groq/Cerebras for speed-critical apps
No fine-tuning support

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.

Hyperbolic

One of the most affordable inference marketplaces for open-weight models — ideal for researchers and cost-sensitive workloads.

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.

Hyperbolic FAQs

What models does Hyperbolic offer?

Hyperbolic hosts Llama 3.3 70B, DeepSeek R1, and other popular open-weight models. Their marketplace approach means the catalog evolves frequently.

How does Hyperbolic pricing compare to competitors?

Hyperbolic is among the most affordable options for open-weight model inference, often undercutting Together AI and Fireworks AI on price. This makes it attractive for high-volume or cost-sensitive workloads.

Is Hyperbolic reliable for production use?

Hyperbolic is newer and less established than providers like Together AI or Fireworks AI. It's well-suited for research, prototyping, and cost-sensitive workloads, but for mission-critical production use, a more established provider may be preferable.

Provider resources

Fireworks AIProduction-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.

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

HyperbolicOpen-source inference marketplace — Llama, DeepSeek R1, and more

Hyperbolic provides a marketplace for open-source model inference, hosting Llama 3.3, DeepSeek R1, and other popular models at competitive prices. Their platform emphasises accessibility and affordability, making frontier open-weight models available to developers and researchers at low cost.

One of the most affordable inference marketplaces for open-weight models — ideal for researchers and cost-sensitive workloads.

Key strengths compared

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

Hyperbolic

  • Among the lowest prices for open-weight model inference
  • DeepSeek R1 and Llama 3.3 available at competitive rates
  • Marketplace model — broad model selection

Provider category context

Fireworks AI is a inference api, founded in 2022. Hyperbolic is a inference api, founded in 2023. Both are inference api providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.

How to choose between them

Both Fireworks AI and Hyperbolic host open-weight models. The key differentiators are latency, throughput, and which specific model versions each provider offers. Check the speed metrics above — inference API providers often differ significantly on tokens-per-second for the same model. Pricing is typically competitive between them; availability of specific model versions (e.g., Llama 3.1 405B, DeepSeek V3) may be the deciding factor.