Celeris AI vs MiniMax: Token Pricing, Speed & Intelligence
Full comparison of Celeris AI and MiniMax — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.
Celeris AI
High-throughput frontier reasoning with Celeris-1
Celeris AI is a frontier AI lab focused on high-throughput reasoning models. Celeris-1 is their flagship model, combining strong benchmark performance on coding, math, and agentic tasks with competitive inference speed. The model supports a 256K-token context window, prompt caching, and function calling.
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.
Key metrics
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Live token pricing
Strengths & weaknesses
Celeris AI
MiniMax
Key differentiators
Celeris-1 targets the gap between o3-class reasoning quality and GPT-4o-class speed, offering frontier-tier intelligence scores at throughput rates competitive with non-reasoning models.
MiniMax M1 supports a 1M token context window at $0.30/1M input tokens — one of the most cost-effective long-context models available.
Frequently asked questions
Celeris AI FAQs
What is Celeris AI?
Celeris AI is a frontier AI lab that develops high-throughput reasoning models. Their flagship Celeris-1 model targets the intersection of strong reasoning capability and fast inference.
How does Celeris-1 compare to o3 and Claude Opus?
Celeris-1 sits in the same intelligence score range as o3 and Claude Opus 5, with competitive throughput. It is priced similarly to Claude Opus 5 at $3/1M input and $15/1M output.
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.
Provider resources
Celeris AI — High-throughput frontier reasoning with Celeris-1
Celeris AI is a frontier AI lab focused on high-throughput reasoning models. Celeris-1 is their flagship model, combining strong benchmark performance on coding, math, and agentic tasks with competitive inference speed. The model supports a 256K-token context window, prompt caching, and function calling.
Celeris-1 targets the gap between o3-class reasoning quality and GPT-4o-class speed, offering frontier-tier intelligence scores at throughput rates competitive with non-reasoning models.
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.
MiniMax M1 supports a 1M token context window at $0.30/1M input tokens — one of the most cost-effective long-context models available.
Key strengths compared
Celeris AI
- ▸Strong reasoning and coding benchmarks
- ▸High throughput at frontier tier
- ▸Competitive prompt caching pricing
MiniMax
- ▸1M token context window
- ▸Competitive pricing
- ▸Strong multilingual performance
Provider category context
Celeris AI is a frontier lab, founded in 2025. 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 Celeris AI and MiniMax are frontier labs with proprietary models. Choose based on benchmark performance for your specific task: Celeris AI leads on strong reasoning and coding benchmarks, while MiniMax leads on 1m token context window. 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.