AI21 Labs vs MiniMax: Token Pricing, Speed & Intelligence
Full comparison of AI21 Labs and MiniMax — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
AI21 Labs
Jamba 1.6 — hybrid SSM-Transformer models with 256K context
AI21 Labs develops the Jamba model family, which uses a hybrid SSM (Mamba) and Transformer architecture. Jamba 1.6 Large and Mini offer 256K token context windows at competitive prices. The hybrid architecture delivers faster inference and lower memory usage than pure-Transformer models of comparable size.
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
AI21 Labs
MiniMax
Key differentiators
Jamba's hybrid SSM-Transformer architecture enables 256K context at lower memory and latency cost than pure-Transformer models — with Jamba 1.6 Mini among the cheapest 256K-context options available.
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
AI21 Labs FAQs
What is the Jamba architecture?
Jamba uses a hybrid of Mamba (SSM) and Transformer layers. This reduces memory usage and improves throughput on long sequences compared to pure-Transformer models, while maintaining strong reasoning performance.
How much does AI21 Labs API cost?
Jamba 1.6 Large is $2.00/$8.00 per 1M input/output tokens. Jamba 1.6 Mini is $0.20/$0.40 per 1M tokens. Both support 256K context. See ai21.com/pricing for current rates.
What context window does Jamba 1.6 support?
Both Jamba 1.6 Large and Jamba 1.6 Mini support 256K token context windows, making them suitable for long-document analysis and extended conversations.
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
AI21 Labs — Jamba 1.6 — hybrid SSM-Transformer models with 256K context
AI21 Labs develops the Jamba model family, which uses a hybrid SSM (Mamba) and Transformer architecture. Jamba 1.6 Large and Mini offer 256K token context windows at competitive prices. The hybrid architecture delivers faster inference and lower memory usage than pure-Transformer models of comparable size.
Jamba's hybrid SSM-Transformer architecture enables 256K context at lower memory and latency cost than pure-Transformer models — with Jamba 1.6 Mini among the cheapest 256K-context options available.
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
AI21 Labs
- Hybrid SSM-Transformer architecture delivers faster inference than pure-Transformer models
- 256K token context window on both Jamba 1.6 Large and Mini
- Jamba 1.6 Mini at $0.20/$0.40 per 1M tokens is highly cost-competitive
- Smaller model family than frontier labs — two models vs dozens at OpenAI or Anthropic
- Less ecosystem support than OpenAI-compatible providers
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
AI21 Labs
- Smaller model family than frontier labs — two models vs dozens at OpenAI or Anthropic
- Less ecosystem support than OpenAI-compatible providers
- No image, audio, or multimodal models
MiniMax
- Smaller international developer community
- Less third-party tooling than OpenAI
Provider category context
AI21 Labs is a frontier lab, founded in 2017. 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 AI21 Labs and MiniMax are frontier labs with proprietary models. Choose based on benchmark performance for your specific task: AI21 Labs leads on hybrid ssm-transformer architecture delivers faster inference than pure-transformer models, 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.