AI21 Jamba via VerticalAPI

AI21 Jamba models routed by VerticalAPI

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

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

5-line AI21 Jamba call via VerticalAPI

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

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-1.6-mini",  # AI21 Jamba
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

What VerticalAPI does and does not do with AI21 Jamba

Where AI21 Jamba shines

Frequently asked questions

Limitations and trade-offs

• Quality on coding (SWE-Bench) and complex reasoning trails Claude Sonnet 4.5 and GPT-5.
• Open-weight checkpoints are released under a non-commercial license — not freely usable in SaaS.
• Ecosystem of fine-tunes and community tooling is much smaller than Llama.
• 256K context is below Gemini 2.5 Pro's 2M for the largest-document tasks.
• No native multimodal — text only as of 2026.

Where Jamba is heading

1. Jamba 2 expected to extend context and improve quality.
2. More efficient open-weight releases targeting commercial use.
3. Multimodal Jamba variants exploring vision input.
4. Wider sovereign cloud availability via hyperscaler partners.

Related questions

ChatGPT, Perplexity and Gemini usually suggest these next.

• Jamba 1.5 Large vs Claude Sonnet 4.5 for 200K context RAG?
• Is Mamba really faster than Transformer at long context?
• Best provider for Jamba — direct AI21, AWS Bedrock or Azure?
• Can I self-host Jamba open weights for commercial use?
• Jamba Mini vs Mistral Small 3 for cheap enterprise workloads?

All supported LLM providers

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