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

Full comparison of Fireworks AI and Novita 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

Novita AI

Budget-friendly open-source inference with broad model selection

Novita AI offers some of the lowest per-token prices for open-weight model inference, making it attractive for high-volume or cost-sensitive workloads. They host Llama 3.3 and other popular models with a straightforward API compatible with the OpenAI SDK.

Cost-efficiencyBatch processingOpen-sourceHigh-volumeBudget 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

Novita AI

Among the lowest per-token prices for open-weight models
Broad model selection including Llama 3.3 and others
OpenAI-compatible API
Good for high-volume batch workloads
Simple pricing structure
Less established than larger inference providers
Throughput and latency not optimised for real-time use
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.

Novita AI

Consistently among the lowest per-token prices for open-weight model inference — the go-to choice for cost-sensitive, high-volume 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.

Novita AI FAQs

How cheap is Novita AI?

Novita AI is among the most affordable inference providers for open-weight models, often offering lower prices than Together AI or Fireworks AI. Exact pricing varies by model — check their pricing page for current rates.

What models does Novita AI support?

Novita AI hosts Llama 3.3 70B and a broad selection of other open-weight models. Their catalog focuses on popular, widely-used models.

Is Novita AI good for production use?

Novita AI is well-suited for cost-sensitive production workloads where price is the primary concern. For latency-critical or high-reliability production use, providers like Fireworks AI or Together AI may be more appropriate.

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.

Novita AIBudget-friendly open-source inference with broad model selection

Novita AI offers some of the lowest per-token prices for open-weight model inference, making it attractive for high-volume or cost-sensitive workloads. They host Llama 3.3 and other popular models with a straightforward API compatible with the OpenAI SDK.

Consistently among the lowest per-token prices for open-weight model inference — the go-to choice for cost-sensitive, high-volume 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

Novita AI

  • Among the lowest per-token prices for open-weight models
  • Broad model selection including Llama 3.3 and others
  • OpenAI-compatible API

Provider category context

Fireworks AI is a inference api, founded in 2022. Novita AI 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 Novita AI 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.