Jina Reranker V2 Base Multilingual

Jina AI rerank

Jina Reranker V2 Base Multilingual is a Jina AI rerank model.It supports a 1,024-token context windowwith up to 1,024 output tokens.Input is priced at $0.0180/M tokens and output at $0.0180/M tokens. Route Jina Reranker V2 Base Multilingual via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: litellm Last verified: May 12, 2026 View source ↗
Cost calculator

Estimate Jina Reranker V2 Base Multilingual spend

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

~3K in / ~400 out · 5K req/day
3,000
08,000
400
01,024
5,000
01,000,000
Per request
$0.000061
in $0.000054 · out $0.000007
Per day
$0.3060
5,000 requests
Per month
$9.31
152,188 requests

Estimate uses $0.0180/M input · $0.0180/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 May 12, 2026.

Input $0.0180/M
Output $0.0180/M

Limits

Context window
1,024 tokens
Max input
1,024 tokens
Max output
1,024 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

Where it's strong

Watch out for

  • !limited context — 1,024-token window is in the bottom quartile; not ideal for long documents or large RAG
  • !small context (under 16K tokens)

Benchmarks pending

We haven't logged public benchmark scores for Jina Reranker V2 Base Multilingual yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call Jina Reranker V2 Base Multilingual 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.
# Jina Reranker V2 Base Multilingual 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="jina-ai/jina-reranker-v2-base-multilingual",
    messages=[{"role": "user", "content": "Hello, Jina Reranker V2 Base Multilingual!"}],
)

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="jina-ai/jina-reranker-v2-base-multilingual",
    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 ↗

FAQ

How much does Jina Reranker V2 Base Multilingual cost?

Input is priced at $0.0180 per 1M tokens and output at $0.0180 per 1M tokens (Jina AI, last verified May 12, 2026).

What is the context window of Jina Reranker V2 Base Multilingual?

Jina Reranker V2 Base Multilingual supports a 1,024-token context window with up to 1,024 output tokens.

Does Jina Reranker V2 Base Multilingual support function calling?

Jina Reranker V2 Base Multilingual 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 Jina Reranker V2 Base Multilingual good for production?

Jina Reranker V2 Base Multilingual is best evaluated against your own production traces. Pipe traffic through Agent Command Center to compare it head-to-head against alternatives in shadow mode.

How can I route to Jina Reranker V2 Base Multilingual 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 Jina Reranker V2 Base Multilingual

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