AI21 Labs vs Infermatic: Token Pricing, Speed & Intelligence
Full comparison of AI21 Labs and Infermatic — 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.
Infermatic
Uncensored open-weight inference — RP, creative writing, and unrestricted model access
Infermatic is a specialized LLM inference provider focused on uncensored and minimally-filtered open-weight models, serving the roleplay, creative writing, and adult content communities. It hosts a curated catalog of fine-tuned Llama, Mistral, and Qwen variants optimized for creative and RP use cases, with OpenAI-compatible API access. Infermatic offers competitive per-token pricing with no content filtering on supported models, making it a go-to provider for use cases that mainstream APIs decline.
Key metric comparison
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Live token pricing
Strengths and weaknesses
AI21 Labs
Infermatic
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.
The leading inference API for uncensored open-weight models — purpose-built for roleplay, creative writing, and adult content use cases that mainstream providers decline to serve.
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.
Infermatic FAQs
What is Infermatic?
Infermatic is an LLM inference provider specializing in uncensored and minimally-filtered open-weight models for roleplay, creative writing, and adult content use cases. It offers OpenAI-compatible API access to curated RP-optimized fine-tunes.
What models does Infermatic offer?
Infermatic hosts RP-optimized fine-tunes of Llama 4, Mistral, Qwen3, and other open-weight base models. The catalog focuses on models fine-tuned for creative writing, character roleplay, and adult content generation.
Is Infermatic API OpenAI-compatible?
Yes. Infermatic provides an OpenAI-compatible REST API, so you can use it as a drop-in replacement in any application that supports custom base URLs — including LangChain, LlamaIndex, and most AI frameworks.
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.
Infermatic — Uncensored open-weight inference — RP, creative writing, and unrestricted model access
Infermatic is a specialized LLM inference provider focused on uncensored and minimally-filtered open-weight models, serving the roleplay, creative writing, and adult content communities. It hosts a curated catalog of fine-tuned Llama, Mistral, and Qwen variants optimized for creative and RP use cases, with OpenAI-compatible API access. Infermatic offers competitive per-token pricing with no content filtering on supported models, making it a go-to provider for use cases that mainstream APIs decline.
The leading inference API for uncensored open-weight models — purpose-built for roleplay, creative writing, and adult content use cases that mainstream providers decline to serve.
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
Infermatic
- Uncensored and minimally-filtered model access for creative and RP use cases
- Curated catalog of RP-optimized fine-tunes (Llama, Mistral, Qwen variants)
- OpenAI-compatible API — easy integration with existing tooling
- Not suitable for enterprise or compliance-sensitive workloads
- Smaller model catalog than Together AI or OpenRouter
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
Infermatic
- Not suitable for enterprise or compliance-sensitive workloads
- Smaller model catalog than Together AI or OpenRouter
- Less infrastructure redundancy than larger providers
Provider category context
AI21 Labs is a frontier lab, founded in 2017. Infermatic is a open source host, founded in 2023. The category difference means these providers serve partially overlapping use cases — compare the model lists and pricing tables above to find the best fit for your specific workload.
How to choose between them
Choose AI21 Labs if you need Long-context tasks. Choose Infermatic if you need uncensored and minimally-filtered model access for creative and rp use cases. 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.