Baidu ERNIE vs Mistral: Token Pricing, Speed & Intelligence
Full comparison of Baidu ERNIE and Mistral — 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.
Mistral
Mistral Medium 3.5, Mistral Small 4, Voxtral TTS, Mistral OCR 4 — European sovereign AI
Mistral AI is a Paris-based lab offering both proprietary and open-weight models. The September 2026 lineup includes Mistral Medium 3.5 (frontier, 128K context, vision), Mistral Small 4 (efficient), Voxtral TTS (text-to-speech), and Mistral OCR 4 (document intelligence). Mistral Studio is their platform for building, testing, and deploying AI agents. Vibe is their AI agent product for long-horizon work. Check mistral.ai/technology/#pricing for current rates.
Key metric comparison
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Live token pricing
Strengths and weaknesses
Baidu ERNIE
Mistral
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.
The only frontier lab offering European data sovereignty with open-weight models — plus Mistral OCR 4 for document intelligence, Voxtral TTS for voice, and Mistral Studio for agentic AI.
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.
Mistral FAQs
What are the latest Mistral models?
Mistral's September 2026 lineup includes Mistral Medium 3.5 (frontier, vision, 128K context), Mistral Small 4 (efficient), Voxtral TTS (text-to-speech), and Mistral OCR 4 (document intelligence). Mistral Small 4 is one of the cheapest capable models available.
Are Mistral models open-weight?
Some are. Mistral 7B, Mixtral 8x7B, and Mixtral 8x22B are open-weight and available on Hugging Face. Mistral Medium 3.5 and Mistral Small 4 are proprietary and available via the API.
What is Mistral OCR 4?
Mistral OCR 4 is a document intelligence model specialised for extracting text and structure from PDFs, scanned documents, and images. It is part of Mistral's Document Intelligence domain offering.
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.
Mistral — Mistral Medium 3.5, Mistral Small 4, Voxtral TTS, Mistral OCR 4 — European sovereign AI
Mistral AI is a Paris-based lab offering both proprietary and open-weight models. The September 2026 lineup includes Mistral Medium 3.5 (frontier, 128K context, vision), Mistral Small 4 (efficient), Voxtral TTS (text-to-speech), and Mistral OCR 4 (document intelligence). Mistral Studio is their platform for building, testing, and deploying AI agents. Vibe is their AI agent product for long-horizon work. Check mistral.ai/technology/#pricing for current rates.
The only frontier lab offering European data sovereignty with open-weight models — plus Mistral OCR 4 for document intelligence, Voxtral TTS for voice, and Mistral Studio for agentic AI.
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
Mistral
- Mistral Medium 3.5 with vision — competitive frontier pricing
- Mistral OCR 4 for document intelligence and PDF processing
- Voxtral TTS for voice applications
- Intelligence scores trail OpenAI and Anthropic at frontier tier
- Smaller ecosystem 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
Mistral
- Intelligence scores trail OpenAI and Anthropic at frontier tier
- Smaller ecosystem than OpenAI
- Vibe and Studio products are newer and less battle-tested
Provider category context
Baidu ERNIE is a frontier lab, founded in 2000. Mistral 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 Baidu ERNIE and Mistral 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 Mistral leads on mistral medium 3.5 with vision — competitive frontier 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.