Baidu ERNIE vs MiniMax: Token Pricing, Speed & Intelligence
Full comparison of Baidu ERNIE and MiniMax — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
Baidu ERNIE
ERNIE 5 — Baidu's frontier Chinese-English bilingual LLM API
Baidu ERNIE is the LLM API from Baidu, China's largest search company. The ERNIE 5 series includes ERNIE-5.1 (balanced) and ERNIE-5.0 (frontier), both optimised for Chinese-English bilingual tasks, knowledge retrieval, and enterprise applications. Pricing is in USD via the international API.
MiniMax
MiniMax M3 — 1M context frontier model available on Together AI and Amazon Bedrock
MiniMax is a Chinese AI company offering the MiniMax M-series of large language models. MiniMax M3 is the latest generation, supporting a 1M token context window and designed for enterprise chat, long-document analysis, and agentic workflows. M3 is now available on Together AI and Amazon Bedrock, significantly expanding its global accessibility.
Key metric comparison
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Live token pricing
Strengths and weaknesses
Baidu ERNIE
MiniMax
Key differentiators
ERNIE 5 is the leading Chinese-English bilingual LLM API, backed by Baidu's search knowledge graph — the go-to choice for applications targeting Chinese-language users.
MiniMax M3 combines a 1M token context window with broad availability (Together AI, Amazon Bedrock) — making it one of the most accessible long-context models for global enterprise customers.
Frequently asked questions
Baidu ERNIE FAQs
What is ERNIE?
ERNIE (Enhanced Representation through Knowledge Integration) is Baidu's LLM series. ERNIE 5 is the current generation, with ERNIE-5.1 (balanced) and ERNIE-5.0 (frontier) available via the Wenxin Qianfan API.
How much does the ERNIE API cost?
ERNIE-5.1 is $0.56/$2.53 per 1M input/output tokens. ERNIE-5.0 is $1.40/$5.60 per 1M tokens. See the Baidu Cloud pricing page for current rates.
Is ERNIE good for English tasks?
ERNIE 5 handles English competently but is primarily optimised for Chinese. For English-only workloads, frontier Western models typically outperform ERNIE. For Chinese or bilingual Chinese-English tasks, ERNIE is among the strongest options available.
MiniMax FAQs
What is MiniMax M3?
MiniMax M3 is MiniMax's latest frontier model, supporting a 1M token context window. It is designed for enterprise chat, long-document analysis, and agentic tasks with competitive pricing — available on Together AI and Amazon Bedrock. Check api.together.ai/models for current rates.
Where can I access MiniMax M3?
MiniMax M3 is available via the MiniMax API directly, through Together AI's inference platform, and on Amazon Bedrock — making it accessible without a separate MiniMax account for AWS and Together AI customers.
Is MiniMax available internationally?
Yes. The MiniMax API is accessible globally, and M3 is also available through Together AI and Amazon Bedrock for international customers who prefer not to create a direct MiniMax account.
Provider resources
Baidu ERNIE — ERNIE 5 — Baidu's frontier Chinese-English bilingual LLM API
Baidu ERNIE is the LLM API from Baidu, China's largest search company. The ERNIE 5 series includes ERNIE-5.1 (balanced) and ERNIE-5.0 (frontier), both optimised for Chinese-English bilingual tasks, knowledge retrieval, and enterprise applications. Pricing is in USD via the international API.
ERNIE 5 is the leading Chinese-English bilingual LLM API, backed by Baidu's search knowledge graph — the go-to choice for applications targeting Chinese-language users.
MiniMax — MiniMax M3 — 1M context frontier model available on Together AI and Amazon Bedrock
MiniMax is a Chinese AI company offering the MiniMax M-series of large language models. MiniMax M3 is the latest generation, supporting a 1M token context window and designed for enterprise chat, long-document analysis, and agentic workflows. M3 is now available on Together AI and Amazon Bedrock, significantly expanding its global accessibility.
MiniMax M3 combines a 1M token context window with broad availability (Together AI, Amazon Bedrock) — making it one of the most accessible long-context models for global enterprise customers.
Key strengths compared
Baidu ERNIE
- Strong Chinese-English bilingual performance — best-in-class for Chinese language tasks
- Deep integration with Baidu Search knowledge graph
- ERNIE-5.1 at $0.56/$2.53 per 1M tokens is competitive for a frontier-tier bilingual model
- Primarily optimised for Chinese — English performance trails frontier Western models
- Limited ecosystem outside China; fewer third-party integrations
MiniMax
- 1M token context window on MiniMax M3
- Available on Together AI and Amazon Bedrock
- Competitive pricing for long-context workloads
- Smaller international developer community
- Less third-party tooling than OpenAI
Key weaknesses compared
Baidu ERNIE
- Primarily optimised for Chinese — English performance trails frontier Western models
- Limited ecosystem outside China; fewer third-party integrations
- Documentation and support primarily in Chinese
MiniMax
- Smaller international developer community
- Less third-party tooling than OpenAI
Provider category context
Baidu ERNIE is a frontier lab, founded in 2000. MiniMax is a frontier lab, founded in 2021. 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 Baidu ERNIE and MiniMax are frontier labs with proprietary models. Choose based on benchmark performance for your specific task: Baidu ERNIE leads on strong chinese-english bilingual performance — best-in-class for chinese language tasks, while MiniMax leads on 1m token context window on minimax m3. 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.