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MiniMax vs Telnyx: Token Pricing, Speed & Intelligence

Full comparison of MiniMax and Telnyx — 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.

ChatLong-document analysisAgentic workflowsEnterprise AIAWS-native workloads
Proprietary models

Telnyx

OpenAI-compatible inference API — GLM-5.3, Kimi, DeepSeek, MiniMax

Telnyx Inference API provides OpenAI-compatible access to a curated set of open-weight and frontier models including GLM-5.3 Flash, Kimi K2.6, DeepSeek V4 Flash, and MiniMax-M3. PAYG pricing with no minimum spend. Telnyx is primarily known as a communications platform; the inference API is a newer addition to their product suite.

ChatCodingCost-sensitive workloads
Open-weight hostHosts open weights

Key metric comparison

Cheapest input ($/1M)

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Cheapest output ($/1M)

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Peak throughput

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Best latency (TTFT)

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Intelligence score

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Context window

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Live token pricing

Strengths and weaknesses

MiniMax

1M token context window on MiniMax M3
Available on Together AI and Amazon Bedrock
Competitive pricing for long-context workloads
Strong multilingual performance
Agentic workflow support
Smaller international developer community
Less third-party tooling than OpenAI

Telnyx

OpenAI-compatible API — drop-in replacement for existing integrations
Competitive pricing on GLM-5.3 Flash and DeepSeek V4 Flash
PAYG with no minimum spend
Prompt caching on GLM-5.3 Flash (cached input at $0.027/1M)
Smaller model catalog vs major inference hubs
Inference is a secondary product — communications is the core business
Limited benchmark transparency vs dedicated inference providers

Key differentiators

MiniMax

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.

Telnyx

OpenAI-compatible inference API from a communications platform, with competitive rates on GLM-5.3 Flash and DeepSeek V4 Flash.

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.

Telnyx FAQs

What models does Telnyx Inference API offer?

As of October 2026: GLM-5.3 Flash ($0.135/$0.45 per 1M tokens, cached $0.027), Kimi K2.6 ($0.665/$4.00), DeepSeek V4 Flash ($0.130/$0.260), and MiniMax-M3 ($0.270/$1.100). All are OpenAI-compatible. See telnyx.com/pricing/inference-api for current rates.

Is Telnyx Inference API OpenAI-compatible?

Yes. Telnyx provides an OpenAI-compatible REST API, so you can use it as a drop-in replacement in any application that supports custom base URLs.

Does Telnyx offer prompt caching?

Yes, on GLM-5.3 Flash. Cached input tokens are billed at $0.027/1M vs $0.135/1M standard.

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.

Telnyx — OpenAI-compatible inference API — GLM-5.3, Kimi, DeepSeek, MiniMax

Telnyx Inference API provides OpenAI-compatible access to a curated set of open-weight and frontier models including GLM-5.3 Flash, Kimi K2.6, DeepSeek V4 Flash, and MiniMax-M3. PAYG pricing with no minimum spend. Telnyx is primarily known as a communications platform; the inference API is a newer addition to their product suite.

OpenAI-compatible inference API from a communications platform, with competitive rates on GLM-5.3 Flash and DeepSeek V4 Flash.

Key strengths compared

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

Telnyx

  • OpenAI-compatible API — drop-in replacement for existing integrations
  • Competitive pricing on GLM-5.3 Flash and DeepSeek V4 Flash
  • PAYG with no minimum spend
  • Smaller model catalog vs major inference hubs
  • Inference is a secondary product — communications is the core business

Key weaknesses compared

MiniMax

  • Smaller international developer community
  • Less third-party tooling than OpenAI

Telnyx

  • Smaller model catalog vs major inference hubs
  • Inference is a secondary product — communications is the core business
  • Limited benchmark transparency vs dedicated inference providers

Provider category context

MiniMax is a frontier lab, founded in 2021. Telnyx is a inference api, founded in 2009. MiniMax as a frontier lab trains and serves its own proprietary models. Telnyx 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 Telnyx if you need Chat. 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.