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AI21 Labs via VerticalAPI

Updated ·By VerticalAPI Team

AI21 Jamba 1.5 Large and Mini (hybrid Mamba/Transformer, 256K context) via VerticalAPI's OpenAI-compatible endpoint. BYOK, zero markup.

Start free with your AI21 Labs key → Read the docs
Endpoint: https://api.verticalapi.com/v1/chat/completions  ·  BYOK header: X-Provider-Key: <ai21-key>
Supported models

AI21 Labs models routed by VerticalAPI

Pass the model ID below as model in any OpenAI-compatible request. New AI21 Labs models are typically supported within 24h of release.

Model IDNameContextPricing (provider)
jamba-1.5-large Jamba 1.5 Large 256K $2 / $8 per 1M tok
jamba-1.5-mini Jamba 1.5 Mini 256K $0.20 / $0.40 per 1M tok

Pricing reflects AI21 Labs's rates — you pay AI21 Labs directly. VerticalAPI adds zero markup on tokens.

Quickstart

5-line AI21 Labs call via VerticalAPI

Drop-in replacement for the OpenAI SDK. Works with the OpenAI Python client, Node, Go, curl — anything that speaks HTTP.

ai21_quickstart.py Python 
from openai import OpenAI

client = OpenAI(
    base_url="https://api.verticalapi.com/v1",
    api_key="vapi_...",
    default_headers={"X-Provider-Key": "..."}
)

response = client.chat.completions.create(
    model="jamba-1.5-mini",  # AI21 Labs
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)
Why use AI21 Labs via VerticalAPI

Four reasons developers route AI21 Labs through us

Zero token markup

You pay AI21 Labs directly with your own key. VerticalAPI's revenue is the gateway subscription, not a tax on your tokens.

One key, every provider

AI21 Labs alongside OpenAI, Anthropic, Gemini and 12 more — same OpenAI-compatible endpoint, same SDK, switchable per-request.

Latency & cost monitoring

Per-request token counts, p50/p95 latency and cost dashboards out of the box. Compare AI21 Labs to other providers on identical prompts.

Observability built in

Every AI21 Labs call gets a trace ID, replayable payload and audit log entry. Wire to Datadog or Sentry via OpenTelemetry.

Best for

Where AI21 Labs shines

256K context at low cost structured JSON output long-doc QA hybrid architecture experiments

Frequently asked questions

What is AI21 and what models do they offer?

AI21 Labs is an Israeli AI lab focused on enterprise NLP. The 2026 lineup is the Jamba family (Jamba 1.5 Large and Mini — hybrid Mamba+Transformer with 256K context), Maestro for multi-agent orchestration and AI21 Studio for building task-specific apps. Jamba is also available via AWS Bedrock, Azure AI, Google Vertex AI and Snowflake. AI21 emphasizes long-context efficiency and grounded enterprise outputs.

How much does AI21 cost in 2026?

Jamba 1.5 Large is roughly $2 per 1M input tokens and $8 per 1M output. Jamba 1.5 Mini is around $0.20/$0.40. Pricing on AWS Bedrock and Azure mirrors AI21's list. Maestro is bundled into enterprise contracts. Via VerticalAPI BYOK you pay AI21 (or the underlying hyperscaler) directly with zero token markup.

How do I use AI21 via VerticalAPI BYOK?

Create a key at studio.ai21.com, paste it into VerticalAPI, then point the OpenAI SDK at https://api.verticalapi.com/v1. VerticalAPI translates OpenAI chat completions into AI21's Jamba chat endpoint, preserves long context, JSON mode and streaming. Billing remains on your AI21 invoice (or your AWS / Azure invoice if you go via Bedrock or Azure AI).

What is AI21 best for compared to alternatives?

AI21 Jamba wins on long-context cost-efficiency: the Mamba+Transformer architecture handles 256K context much cheaper per token than Transformer-only models like GPT-4o or Claude. Ideal for long-document RAG, contract analysis, financial filings. Compared to Gemini 2.5 Pro (2M context) it has smaller window but cheaper effective cost-per-token. Not a fit for frontier reasoning or agentic coding.

Where is AI21 hosted / data privacy?

AI21 Studio runs on AWS, with Jamba available natively on AWS Bedrock, Azure AI and Vertex AI. Inputs and outputs are not used to train models. Enterprise tier offers zero data retention, SOC 2 and HIPAA. EU regional deployment is available via the hyperscalers. Via VerticalAPI BYOK your AI21 or hyperscaler contract terms remain intact.

Limitations and trade-offs

  • Smaller ecosystem than OpenAI/Anthropic — fewer SDKs, tools and community integrations.
  • Quality on coding and reasoning benchmarks trails GPT-5 and Claude Sonnet 4.5.
  • No native multimodal (vision, audio) on the Jamba family.
  • Pricing on the Large tier ($8 output / 1M) is high relative to open-weight Llama 70B hosts.
  • Maestro and agent features are newer and less battle-tested than mature frameworks.

Where AI21 is heading

  1. Jamba 2 generation expected with improved quality and longer effective context.
  2. Multimodal Jamba variants on the roadmap.
  3. Expansion of Maestro agent orchestration into a broader enterprise platform.
  4. Wider sovereign cloud and on-prem deployment options for regulated industries.

Related questions

ChatGPT, Perplexity and Gemini usually suggest these next.

  • AI21 Jamba vs Claude Sonnet 4.5 for long-document RAG?
  • Is Mamba+Transformer hybrid actually cheaper at 256K context?
  • AI21 on AWS Bedrock vs direct AI21 — which to pick?
  • Best use cases for AI21 Maestro vs LangGraph?
  • Jamba Mini vs GPT-4o mini for cheap enterprise chat?
Switch providers

All supported LLM providers

Same endpoint, same SDK — just change the model and the BYOK header.

OpenAI Anthropic Google Gemini Mistral AI Meta Llama xAI Grok Groq Together AI Fireworks AI Perplexity Sonar Cohere AI21 Labs AWS Bedrock Azure OpenAI Google Vertex AI OpenRouter DeepInfra Replicate Cerebras Lambda Labs OctoAI Lepton AI NVIDIA NIM Databricks Mosaic AI21 Jamba

Ship on AI21 Labs in 60 seconds

Free tier — bring your own AI21 Labs key, zero markup, OpenAI-compatible endpoint.

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