Cohere Embed Multilingual v3.0

Oracle Cloud embedding

Cohere Embed Multilingual v3.0 is an Oracle Cloud embedding model.It supports a 512-token context window.Input is priced at $0.1000/M tokens Route Cohere Embed Multilingual v3.0 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 Cohere Embed Multilingual v3.0 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
016,000
5,000
01,000,000
Per request
$0.000300
in $0.000300 · out $0.000000
Per day
$1.50
5,000 requests
Per month
$45.66
152,188 requests

Estimate uses $0.1000/M input · $0.000000/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 $0.1000/M
Output

Limits

Context window
512 tokens
Max input
512 tokens
Max output
Modalities
embedding, 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 — 512-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 Cohere Embed Multilingual v3.0 yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call Cohere Embed Multilingual v3.0 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.
# Cohere Embed Multilingual v3.0 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="oci/cohere-embed-multilingual-v3-0",
    messages=[{"role": "user", "content": "Hello, Cohere Embed Multilingual v3.0!"}],
)

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="oci/cohere-embed-multilingual-v3-0",
    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 ↗

Compare with similar models

Cohere Embed Multilingual v3.0 doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark.

FAQ

How much does Cohere Embed Multilingual v3.0 cost?

Input is priced at $0.1000 per 1M tokens and output at $0.000000 per 1M tokens (Oracle Cloud, last verified May 12, 2026).

What is the context window of Cohere Embed Multilingual v3.0?

Cohere Embed Multilingual v3.0 supports a 512-token context window.

Does Cohere Embed Multilingual v3.0 support function calling?

Cohere Embed Multilingual v3.0 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 Cohere Embed Multilingual v3.0 good for production?

Cohere Embed Multilingual v3.0 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 Cohere Embed Multilingual v3.0 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 Cohere Embed Multilingual v3.0

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