Compute Comparison
vs
All providers →

MiniMax vs Tencent: Token Pricing, Speed & Intelligence

Full comparison of MiniMax and Tencent — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.

MiniMax

Long-context frontier models with 1M token windows

MiniMax is a Chinese AI company offering the MiniMax M-series of large language models. MiniMax M2.7 and M1 support context windows up to 1M tokens and are designed for enterprise chat, long-document analysis, and agentic workflows.

ChatLong-document analysisAgentic workflowsEnterprise AI
Proprietary models

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.

ChatCodingMultilingualCost-efficient inference
Proprietary models

Key metrics

Cheapest input ($/1M)

Cheapest output ($/1M)

Peak throughput

Best latency (TTFT)

Intelligence score

Context window

Live token pricing

Strengths & weaknesses

MiniMax

1M token context window
Competitive pricing
Strong multilingual performance
Smaller international developer community
Less third-party tooling than OpenAI

Tencent

Competitive pricing
Strong Chinese-language performance
Large context window
Primarily targets Chinese market
Smaller international ecosystem

Key differentiators

MiniMax

MiniMax M1 supports a 1M token context window at $0.30/1M input tokens — one of the most cost-effective long-context models available.

Tencent

Hunyuan 3 (hy3) offers a 262K context window at $0.14/1M input tokens — among the cheapest frontier-class models available.

Frequently asked questions

MiniMax FAQs

What is MiniMax M2.7?

MiniMax M2.7 is MiniMax's latest chat model, supporting a 205K token context window. It is designed for enterprise chat, long-document analysis, and agentic tasks.

Is MiniMax available internationally?

Yes. The MiniMax API is accessible globally, and models are also available through OpenRouter and other inference aggregators.

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

MiniMaxLong-context frontier models with 1M token windows

MiniMax is a Chinese AI company offering the MiniMax M-series of large language models. MiniMax M2.7 and M1 support context windows up to 1M tokens and are designed for enterprise chat, long-document analysis, and agentic workflows.

MiniMax M1 supports a 1M token context window at $0.30/1M input tokens — one of the most cost-effective long-context models available.

TencentHunyuan 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

MiniMax

  • 1M token context window
  • Competitive pricing
  • Strong multilingual performance

Tencent

  • Competitive pricing
  • Strong Chinese-language performance
  • Large context window

Provider category context

MiniMax is a frontier lab, founded in 2021. Tencent is a frontier lab, founded in 2023. Both are frontier lab providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.

How to choose between them

Both MiniMax and Tencent are frontier labs with proprietary models. Choose based on benchmark performance for your specific task: MiniMax leads on 1m token context window, while Tencent leads on competitive pricing. For cost-sensitive workloads, compare the cheapest model tier from each provider in the pricing table above — the gap between efficient-tier models is often larger than between flagship models.