MiniMax vs Perplexity: Token Pricing, Speed & Intelligence
Full comparison of MiniMax and Perplexity — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
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.
Perplexity
Agent API, Router API, Search API, Embeddings API — Sonar deprecated Sept 27, 2026
Perplexity has restructured its API platform in 2026. Sonar Chat Completions is now the Agent API, which provides access to third-party models (OpenAI, Anthropic, Google, xAI, Z.AI, Moonshot AI, NVIDIA) at direct provider rates with no markup. The Router API routes requests across models with per-token billing. The Search API provides real-time web retrieval billed per request. The Embeddings API offers pplx-embed-v1 models. Sonar is deprecated September 27, 2026. Check docs.perplexity.ai/docs/getting-started/pricing for current rates.
Key metric comparison
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Live token pricing
Strengths and weaknesses
MiniMax
Perplexity
Key differentiators
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.
An API platform combining real-time web search, multi-provider model routing (OpenAI, Anthropic, Google, xAI at direct rates), and purpose-built research tools under one key.
Frequently asked questions
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.
Perplexity FAQs
What APIs does Perplexity offer in 2026?
Perplexity offers four APIs: Agent API (multi-step agentic tasks with third-party models at direct provider rates), Router API (intelligent model routing), Search API (real-time web retrieval, per-request billing), and Embeddings API (pplx-embed-v1 models). Check docs.perplexity.ai/docs/getting-started/pricing for current rates.
Is the original Sonar model still available?
No. The original Sonar Chat Completions API is deprecated as of September 27, 2026. It has been replaced by the Agent API. Migrate to the Agent API for continued access to search-augmented LLM capabilities.
What is the Perplexity Agent API?
The Agent API provides access to third-party models from OpenAI, Anthropic, Google, xAI, Z.AI, Moonshot AI, and NVIDIA at direct provider rates with no markup. It includes tools: web_search, fetch_url, people_search, and sandbox. Check docs.perplexity.ai for current tool rates.
Provider resources
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.
Perplexity — Agent API, Router API, Search API, Embeddings API — Sonar deprecated Sept 27, 2026
Perplexity has restructured its API platform in 2026. Sonar Chat Completions is now the Agent API, which provides access to third-party models (OpenAI, Anthropic, Google, xAI, Z.AI, Moonshot AI, NVIDIA) at direct provider rates with no markup. The Router API routes requests across models with per-token billing. The Search API provides real-time web retrieval billed per request. The Embeddings API offers pplx-embed-v1 models. Sonar is deprecated September 27, 2026. Check docs.perplexity.ai/docs/getting-started/pricing for current rates.
An API platform combining real-time web search, multi-provider model routing (OpenAI, Anthropic, Google, xAI at direct rates), and purpose-built research tools under one key.
Key strengths compared
MiniMax
- ▸1M token context window on MiniMax M3
- ▸Available on Together AI and Amazon Bedrock
- ▸Competitive pricing for long-context workloads
Perplexity
- ▸Agent API: access OpenAI, Anthropic, Google, xAI, Z.AI, Moonshot AI, NVIDIA at direct provider rates
- ▸Search API: real-time web retrieval with advanced filtering
- ▸Router API: intelligent model routing with per-token billing at model rates
Provider category context
MiniMax is a frontier lab, founded in 2021. Perplexity is a inference api, founded in 2022. MiniMax as a frontier lab trains and serves its own proprietary models. Perplexity as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers but without access to proprietary frontier models.
How to choose between them
Choose MiniMax if you need 1m token context window on minimax m3. Choose Perplexity if you need agent api: access openai, anthropic, google, xai, z.ai, moonshot ai, nvidia at direct provider rates. 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.