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AI21 Labs vs Perplexity: Token Pricing, Speed & Intelligence

Full comparison of AI21 Labs and Perplexity — 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

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.

ResearchReal-time dataFact-checkingNews summarisationAgentic researchRAG pipelinesMulti-provider routing
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

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
Embeddings API: pplx-embed-v1 models for semantic search and RAG
Agent API tools: web_search, fetch_url, people_search, sandbox
Sonar Deep Research for multi-step research with citations
Sonar deprecated Sept 27, 2026 — migration required
Agent API is a pass-through — no proprietary frontier model at this tier
No vision or multimodal support on Sonar models

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.

Perplexity

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

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.

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

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.

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

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

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
  • Sonar deprecated Sept 27, 2026 — migration required
  • Agent API is a pass-through — no proprietary frontier model at this tier

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

Perplexity

  • Sonar deprecated Sept 27, 2026 — migration required
  • Agent API is a pass-through — no proprietary frontier model at this tier
  • No vision or multimodal support on Sonar models

Provider category context

AI21 Labs is a frontier lab, founded in 2017. Perplexity is a inference api, founded in 2022. AI21 Labs 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 AI21 Labs if you need Long-context tasks. 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.