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AI21 Labs vs xAI: Token Pricing, Speed & Intelligence

Full comparison of AI21 Labs and xAI — 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.

Long-context chatDocument analysisSummarisationCost-sensitive inference
Proprietary models

xAI

Grok 4.6 — SpaceXAI with Imagine Image 2.0, Voice Transcribe 2.0, and 500K context

xAI (operating as SpaceXAI) builds the Grok model family. Grok 4.6 is the current flagship with a 500K token context window. The September 2026 platform includes Imagine Image 2.0, Imagine Video 1.5, Voice API (speech-to-speech, TTS, STT), and Grok Voice Transcribe 2.0. Available on Azure AI Foundry, Oracle OCI, and Google Cloud Vertex. Check x.ai/api for current rates.

Real-time dataReasoningVisionImage generationVideo generationVoice AIChat
Proprietary models

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

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
Strong performance on long-document tasks due to SSM efficiency
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

xAI

Grok 4.6: competitive frontier pricing — check live table for current rates
500K token context window
Real-time X/Twitter data and web search grounding
Imagine Image 2.0 and Imagine Video 1.5 for multimodal generation
Voice API: speech-to-speech, TTS, and STT under one key
Available on Azure AI Foundry, Oracle OCI, and Google Cloud Vertex
No open-weight models — full vendor lock-in
Smaller ecosystem and fewer integrations than OpenAI
Limited model selection compared to frontier competitors

Key differentiators

AI21 Labs

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.

xAI

Grok 4.6 combines frontier-tier intelligence with real-time X/Twitter grounding, a 500K context window, and a full multimodal platform (Imagine Image 2.0, Imagine Video 1.5, Voice API).

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.

xAI FAQs

What is Grok 4.6 and how much does it cost?

Grok 4.6 is xAI's current flagship model with a 500K token context window, vision, function calling, and real-time web and X/Twitter access. Check x.ai/api for current per-token rates.

What is the xAI Imagine API?

The Imagine API offers image and video generation via Imagine Image 2.0 and Imagine Video 1.5. Both are available under the same API key as Grok text models. Check x.ai/api for current rates.

What is the xAI Voice API?

The Voice API includes speech-to-speech, text-to-speech, and speech-to-text (REST and streaming). Grok Voice Transcribe 2.0 was released September 2026. Check x.ai/api for current rates.

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.

xAI — Grok 4.6 — SpaceXAI with Imagine Image 2.0, Voice Transcribe 2.0, and 500K context

xAI (operating as SpaceXAI) builds the Grok model family. Grok 4.6 is the current flagship with a 500K token context window. The September 2026 platform includes Imagine Image 2.0, Imagine Video 1.5, Voice API (speech-to-speech, TTS, STT), and Grok Voice Transcribe 2.0. Available on Azure AI Foundry, Oracle OCI, and Google Cloud Vertex. Check x.ai/api for current rates.

Grok 4.6 combines frontier-tier intelligence with real-time X/Twitter grounding, a 500K context window, and a full multimodal platform (Imagine Image 2.0, Imagine Video 1.5, Voice API).

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

xAI

  • Grok 4.6: competitive frontier pricing — check live table for current rates
  • 500K token context window
  • Real-time X/Twitter data and web search grounding
  • No open-weight models — full vendor lock-in
  • Smaller ecosystem and fewer integrations 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

xAI

  • No open-weight models — full vendor lock-in
  • Smaller ecosystem and fewer integrations than OpenAI
  • Limited model selection compared to frontier competitors

Provider category context

AI21 Labs is a frontier lab, founded in 2017. xAI is a frontier lab, founded in 2023. 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 xAI 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 xAI leads on grok 4.6: competitive frontier pricing — check live table for current rates. 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.