Fireworks AI vs Tencent: Token Pricing, Speed & Intelligence
Full comparison of Fireworks AI and Tencent — 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.
Tencent
Hunyuan LLMs from China's largest tech company
Tencent offers the Hunyuan series of large language models via its cloud platform. Hunyuan models are optimised for Chinese and multilingual tasks, with strong performance on coding and reasoning benchmarks.
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Live token pricing
Strengths & weaknesses
Fireworks AI
Tencent
Key differentiators
Production-grade reliability with 320+ tokens/sec throughput and DeepSeek R1 reasoning at $3/1M input — a strong balance of speed and capability.
Hunyuan 3 (hy3) offers a 262K context window at $0.14/1M input tokens — among the cheapest frontier-class models available.
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.
Tencent FAQs
What is Tencent Hunyuan?
Hunyuan is Tencent's family of large language models, available via the Tencent Cloud API. The latest generation (hy3) supports 262K context and competitive pricing.
Is Tencent Hunyuan available internationally?
Yes. The Hunyuan API is accessible globally via Tencent Cloud, though latency may be higher outside Asia-Pacific regions.
Provider resources
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.
Production-grade reliability with 320+ tokens/sec throughput and DeepSeek R1 reasoning at $3/1M input — a strong balance of speed and capability.
Tencent — Hunyuan LLMs from China's largest tech company
Tencent offers the Hunyuan series of large language models via its cloud platform. Hunyuan models are optimised for Chinese and multilingual tasks, with strong performance on coding and reasoning benchmarks.
Hunyuan 3 (hy3) offers a 262K context window at $0.14/1M input tokens — among the cheapest frontier-class models available.
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
Tencent
- ▸Competitive pricing
- ▸Strong Chinese-language performance
- ▸Large context window
Provider category context
Fireworks AI is a inference api, founded in 2022. Tencent is a frontier lab, founded in 2023. Fireworks AI as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers. Tencent 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 Tencent if you need competitive pricing. 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.