Jamba 1.5 Large API

AI21 Labs's Jamba 1.5 Large, through an OpenAI-compatible API. Providers quote it on an open exchange, and each request goes to the offer with the lowest estimated charge that meets your rules.

Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send jamba-1.5-large as the model.
Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.

Facts

Model name: jamba-1.5-large
Maker: AI21 Labs
Context window: 256K tokens
Input price: $1.995 per million tokens
Output price: $7.980 per million tokens
Providers: 1 independent provider
Regions: us

Providers

Architect: us, $1.995 input and $7.980 output per million tokens, $1.995 cache read per million tokens, 256K tokens of context

Scores

HLE: 4.1, #226 of 273
GPQA: 42.7, #224 of 250
LiveCodeBench: 14.3, #118 of 130
MMLU-Pro: 57.2, #118 of 133

Scores: Artificial Analysis (https://artificialanalysis.ai/)

Request

curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "jamba-1.5-large",
    "messages": [{"role":"user","content":"Say hello."}]
  }'

Questions

What is Jamba 1.5 Large?: Jamba 1.5 Large is a model from AI21 Labs.
How much does Jamba 1.5 Large cost?: Offers now ask $1.995 per million input tokens and $7.980 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.
What is the context length of Jamba 1.5 Large?: The largest offer takes 256,000 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
What can Jamba 1.5 Large do?: Its providers list Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.
What inputs and outputs does Jamba 1.5 Large support?: Text → Text.
Which providers serve Jamba 1.5 Large?: 1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.
How do I call Jamba 1.5 Large?: Send "jamba-1.5-large" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
When was Jamba 1.5 Large listed?: The exchange first listed it on 10/10/2026. This is not its release date.