OpenAI vs Fireworks AI: Token Pricing, Speed & Intelligence
Full comparison of OpenAI and Fireworks AI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.
OpenAI
GPT-6 Astra, GPT-5.6 Sol/Terra/Luna — plus image, voice, and realtime APIs
OpenAI's September 2026 API lineup spans GPT-6 Astra ($10/$50 per 1M in/out — most capable), GPT-5.6 Sol ($4/$20, promotional), GPT-5.6 Terra ($2/$12, balanced), and GPT-5.6 Luna ($0.20/$1.20, everyday). Beyond text, the platform now includes GPT-Image-2.5 (Sunburst and Flare), GPT-Live-1 voice ($0.05/min), GPT-Realtime-2.1 for low-latency voice agents, and transcription/translation models. Batch API saves 50% on all models.
Fireworks AI
H100/H200/B200/B300/GB300 on-demand — Serverless Training API, Forge 2026 conference
Fireworks AI provides optimised inference for open-weight models with a focus on production reliability and low latency. On-demand GPU pricing: H100 $8/hr, H200 $8/hr, B200 $13/hr, B300 $15/hr, GB300 $20/hr. The Serverless Training API enables fine-tuning for GLM 5.3, Qwen 3.8 27B, Kimi K3, DeepSeek V4 Flash, and Muse Glimmer 30B without managing GPU infrastructure. Fireworks hosted its inaugural Forge 2026 conference.
Key metric comparison
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Live token pricing
Strengths and weaknesses
OpenAI
Fireworks AI
Key differentiators
The most complete AI API platform — GPT-6 Astra to GPT-5.6 Luna covering every capability tier, plus native image, voice, realtime, and transcription APIs under one key.
Production-grade reliability with the latest GPU hardware (B300/GB300) and a Serverless Training API — the most complete platform for open-weight model inference and fine-tuning.
Frequently asked questions
OpenAI FAQs
What are the latest OpenAI models as of 2026?
OpenAI's current lineup includes GPT-6 Astra (flagship frontier), GPT-5.6 Sol ($5/$30 per 1M tokens), GPT-5.6 Terra, and GPT-5.6 Luna (efficient tier). The o-series reasoning models remain available for complex multi-step tasks.
How much does the OpenAI API cost?
GPT-5.6 Sol costs $5/1M input and $30/1M output tokens. Efficient-tier models like GPT-5.6 Luna are significantly cheaper. Prompt caching cuts input costs by 50% on eligible requests.
Does OpenAI support prompt caching?
Yes. Prompt caching is available on GPT-6 Astra, GPT-5.6 Sol, and other major models. Cached input tokens are billed at 50% of the standard input price, making long-context and repeated-system-prompt workloads significantly cheaper.
Fireworks AI FAQs
What GPU hardware does Fireworks AI offer?
Fireworks AI offers on-demand H100, H200, B200, B300, and GB300 GPU instances for dedicated deployments, alongside their serverless inference API for pay-per-token access.
What is the Fireworks Serverless Training API?
Fireworks AI's Serverless Training API lets you fine-tune open-weight models without managing GPU infrastructure. Upload your training data, run fine-tuning jobs, and deploy the resulting model via their inference API.
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.
Provider resources
OpenAI — GPT-6 Astra, GPT-5.6 Sol/Terra/Luna — plus image, voice, and realtime APIs
OpenAI's September 2026 API lineup spans GPT-6 Astra ($10/$50 per 1M in/out — most capable), GPT-5.6 Sol ($4/$20, promotional), GPT-5.6 Terra ($2/$12, balanced), and GPT-5.6 Luna ($0.20/$1.20, everyday). Beyond text, the platform now includes GPT-Image-2.5 (Sunburst and Flare), GPT-Live-1 voice ($0.05/min), GPT-Realtime-2.1 for low-latency voice agents, and transcription/translation models. Batch API saves 50% on all models.
The most complete AI API platform — GPT-6 Astra to GPT-5.6 Luna covering every capability tier, plus native image, voice, realtime, and transcription APIs under one key.
Fireworks AI — H100/H200/B200/B300/GB300 on-demand — Serverless Training API, Forge 2026 conference
Fireworks AI provides optimised inference for open-weight models with a focus on production reliability and low latency. On-demand GPU pricing: H100 $8/hr, H200 $8/hr, B200 $13/hr, B300 $15/hr, GB300 $20/hr. The Serverless Training API enables fine-tuning for GLM 5.3, Qwen 3.8 27B, Kimi K3, DeepSeek V4 Flash, and Muse Glimmer 30B without managing GPU infrastructure. Fireworks hosted its inaugural Forge 2026 conference.
Production-grade reliability with the latest GPU hardware (B300/GB300) and a Serverless Training API — the most complete platform for open-weight model inference and fine-tuning.
Key strengths compared
OpenAI
- ▸Broadest API surface: text, image, voice, realtime, transcription, translation, web search, code execution
- ▸GPT-6 Astra at the frontier; GPT-5.6 Sol at promotional $4/$20 pricing
- ▸Prompt caching on all major models (10% of input price)
Fireworks AI
- ▸320+ tokens/sec on Llama 3.3 70B — fast GPU inference
- ▸H100/H200/B200/B300/GB300 on-demand GPU access
- ▸Serverless Training API for fine-tuning without infrastructure
Provider category context
OpenAI is a frontier lab, founded in 2015. Fireworks AI is a inference api, founded in 2022. OpenAI as a frontier lab trains and serves its own proprietary models. Fireworks AI as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers but without access to proprietary frontier models.
How to choose between them
Choose OpenAI if you need broadest api surface: text, image, voice, realtime, transcription, translation, web search, code execution. Choose Fireworks AI if you need 320+ tokens/sec on llama 3.3 70b — fast gpu inference. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.