Jamba 1.5 mini

AI21 Labs chat

Jamba 1.5 mini is an AI21 Labs chat model.It supports a 256,000-token context windowwith up to 256,000 output tokens.Input is priced at $0.200/M tokens and output at $0.400/M tokens. Route Jamba 1.5 mini via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: litellm Last verified: Oct 22, 2026 View source ↗
Cost calculator

Estimate Jamba 1.5 mini spend

Pick a workload, fine-tune the sliders, and see the monthly bill.

~3K in / ~400 out · 5K req/day
3,000
0256,000
400
0200,000
5,000
01,000,000
Per request
$0.000760
in $0.000600 · out $0.000160
Per day
$3.80
5,000 requests
Per month
$116
152,188 requests

Estimate uses $0.2000/M input · $0.4000/M output. Provider pricing changes. Production costs vary with retries, streaming overhead, and tool-call rounds.
Want this for free? Cache + route via Agent Command Center — first 100K requests and 100K cache hits free every month.

Pricing

Per-token rates, expressed in USD per 1M tokens. Verified Oct 22, 2026.

Input $0.200/M
Output $0.400/M
Blended (3:1 in:out) $0.250/M
Cross-model comparable price

Context & limits

Context window
256,000 tokens
Max input
256,000 tokens
Max output
256,000 tokens
Modalities
text

Capabilities

  • Function calling — not advertised
  • Parallel tool calls — not advertised
  • Vision input — not advertised
  • Audio input — not advertised
  • Audio output — not advertised
  • PDF input — not advertised
  • Streaming ✓ supported
  • Structured output — not advertised
  • Prompt caching — not advertised
  • Reasoning — not advertised

Strengths & caveats — when to pick Jamba 1.5 mini

Data-driven from Jamba 1.5 mini's percentile within chat peers.

Where it's strong

  • +long-form generation — 256,000-token max output, top-8% of peers

Watch out for

  • !agentic workflows — no advertised function-calling; use a tool-capable model and route via Agent Command Center for fallback
  • !strict structured output — no JSON-schema enforcement, expect retry loops

Benchmark scores

Reported public benchmark numbers. Each row links to the source.

Captured Aug 8, 2026
Try it

Call Jamba 1.5 mini via Agent Command Center

One OpenAI-compatible endpoint. Routing, fallback, semantic caching, guardrails, and cost tracking come along for the ride. First 100K requests + 100K cache hits free every month.

SDK
Native Future AGI client (agentcc / @agentcc/client). Per-call metadata — provider, cost, latency, cache hit, request id — is returned on x-agentcc-* response headers, so any HTTP client can read it.
# Jamba 1.5 mini via the Agent Command Center Python SDK
# pip install agentcc
import os
from agentcc import AgentCC

client = AgentCC(
    api_key=os.environ["AGENTCC_API_KEY"],   # from app.futureagi.com → Settings → API Keys
    base_url="https://gateway.futureagi.com/v1",
)

resp = client.chat.completions.create(
    model="ai21/jamba-1-5-mini",
    messages=[{"role": "user", "content": "Hello, Jamba 1.5 mini!"}],
)

print(resp.choices[0].message.content)
print(f"Tokens: {resp.usage.total_tokens}")

# Per-call gateway metadata is returned on x-agentcc-* response headers.
# When you need it programmatically, use .with_raw_response to get them:
raw = client.chat.completions.with_raw_response.create(
    model="ai21/jamba-1-5-mini",
    messages=[{"role": "user", "content": "Same call, but I want the headers."}],
)
print("Provider:", raw.headers.get("x-agentcc-provider"))
print("Latency:", raw.headers.get("x-agentcc-latency-ms"), "ms")
print("Cost:   ", raw.headers.get("x-agentcc-cost"), "USD")
print("Cache:  ", raw.headers.get("x-agentcc-cache"))
Set AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗

Same model on other providers

jamba-1-5-mini is also available via 2 other routes. Pricing, regions, and capabilities can differ — compare before routing production traffic.

ProviderInput / 1MOutput / 1MVerified
Google Vertex AI$0.200/M$0.400/MOct 22, 2026
Snowflake Cortex——Oct 22, 2026

FAQ

How much does Jamba 1.5 mini cost?

Input is priced at $0.200 per 1M tokens and output at $0.400 per 1M tokens (AI21 Labs, last verified Oct 22, 2026).

What is the context window of Jamba 1.5 mini?

Jamba 1.5 mini supports a 256,000-token context window with up to 256,000 output tokens.

Does Jamba 1.5 mini support function calling?

Jamba 1.5 mini does not currently advertise function-calling support. For agentic workloads, prefer a tool-calling-capable model and route via Agent Command Center for fallback.

Is Jamba 1.5 mini good for production?

Jamba 1.5 mini is well-suited for long-form generation — 256,000-token max output, top-8% of peers. Consider alternatives if you need agentic workflows — no advertised function-calling; use a tool-capable model and route via Agent Command Center for fallback.

How can I route to Jamba 1.5 mini with fallback?

Use Agent Command Center: a single OpenAI-compatible endpoint that supports cost-optimized routing, latency-aware retries, model fallback, and shadow traffic. Configure once, swap models without app changes.

Useful links for Jamba 1.5 mini

Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.