Fireworks AI vs Upstage: Token Pricing, Speed & Intelligence
Full comparison of Fireworks AI and Upstage — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
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 compute (H100, H200, B200, B300, GB300) is available alongside serverless inference. 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.
Upstage
Solar Pro 4, Solar Pro 3, Solar Pro 2 — Korean frontier models with strong multilingual performance
Upstage is a Korean AI company offering the Solar model family via API. Solar Pro 4 is the current flagship, with Solar Pro 3 and Solar Pro 2 available at lower price points. The Solar models are known for strong multilingual performance, particularly in Korean and English, and competitive pricing relative to their capability tier. Pricing is published at upstage.ai/pricing.
Key metric comparison
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Live token pricing
Strengths and weaknesses
Fireworks AI
Upstage
Key differentiators
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.
Korean-built Solar models with strong multilingual performance and competitive frontier-tier pricing — Solar Pro 4 at $0.30/$1.20 per 1M tokens.
Frequently asked questions
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.
Upstage FAQs
What is Upstage Solar?
Upstage Solar is a family of LLMs from Korean AI company Upstage. Solar Pro 4 is the current flagship, with Solar Pro 3 and Solar Pro 2 at lower price points. See upstage.ai/pricing for current rates.
How much does Upstage Solar cost?
As of October 2026: Solar Pro 4 $0.30/$1.20 per 1M tokens, Solar Pro 3 $0.15/$0.60, Solar Pro 2 $0.15/$0.60. See upstage.ai/pricing for current rates.
Is Upstage good for Korean language tasks?
Yes. The Solar model family is developed by a Korean AI company and shows strong performance on Korean-language benchmarks, making it a top choice for Korean NLP workloads.
Provider resources
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 compute (H100, H200, B200, B300, GB300) is available alongside serverless inference. 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.
Upstage — Solar Pro 4, Solar Pro 3, Solar Pro 2 — Korean frontier models with strong multilingual performance
Upstage is a Korean AI company offering the Solar model family via API. Solar Pro 4 is the current flagship, with Solar Pro 3 and Solar Pro 2 available at lower price points. The Solar models are known for strong multilingual performance, particularly in Korean and English, and competitive pricing relative to their capability tier. Pricing is published at upstage.ai/pricing.
Korean-built Solar models with strong multilingual performance and competitive frontier-tier pricing — Solar Pro 4 at $0.30/$1.20 per 1M tokens.
Key strengths compared
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
- Slightly higher pricing than budget alternatives
- Smaller model catalog than Together AI
Upstage
- Solar Pro 4: competitive frontier-tier pricing at $0.30/$1.20 per 1M tokens
- Strong multilingual performance — Korean and English
- Three-tier model family: Solar Pro 4, 3, and 2 for different cost/quality trade-offs
- Smaller global ecosystem than OpenAI or Anthropic
- Limited model variety beyond the Solar family
Key weaknesses compared
Fireworks AI
- Slightly higher pricing than budget alternatives
- Smaller model catalog than Together AI
- Serverless Training is newer and less battle-tested
Upstage
- Smaller global ecosystem than OpenAI or Anthropic
- Limited model variety beyond the Solar family
- Less documentation in English than major US providers
Provider category context
Fireworks AI is a inference api, founded in 2022. Upstage is a frontier lab, founded in 2020. Fireworks AI as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers. Upstage as a frontier lab trains and serves proprietary models with capabilities not available elsewhere.
How to choose between them
Choose Fireworks AI if you need 320+ tokens/sec on llama 3.3 70b — fast gpu inference. Choose Upstage if you need solar pro 4: competitive frontier-tier pricing at $0.30/$1.20 per 1m tokens. 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.