Meta · Open weights

Llama-xLAM-2 70B fc-r

Added Apr 13, 2025Open weights

Use in the app

Salesforce’s 70-B frontier model focused on function-calling & retrieval-augmented generation.

Input: Text
Output: Text
Discovery tier: Open weights

Pricing

USD per 1M tokens

Input: $2.50
Output: $2.50

Reference prices as published by the model provider. API example

Specifications

Context window: 128K
Max output: 16.4K

Side by side

Llama-xLAM-2 70B fc-r compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

Limits
	Llama-xLAM-2 70B fc-rMetaThis model	Muse Spark 1.3 ContributorMetaRemove
Provider	Meta	Meta
Discovery tier	Open weights	Efficient
Added	Apr 13, 2025	Sep 2, 2026
Context window	128K	1.05MBest
Max output	16.38K	—
Average output	—	1.2K tokens
Pricing, USD per 1M tokens
Input	$2.50	$0.10Best
Output	$2.50	$0.20Best
Cache read	—	$0.002
Performance
Throughput	—	145.4 tok/s
Time to first token	—	3.9 s
Request success (24h)	—	99.4%
Capabilities
Reasoning	No	Yes
Tools	No	Yes
Vision	No	Yes
Structured output	No	Yes
PDF input	No	Yes
Audio input	No	Yes
Video input	No	Yes
Reasoning effort	—	minimal, low, medium, high, xhigh

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart

curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Salesforce/Llama-xLAM-2-70b-fc-r",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'

import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="Salesforce/Llama-xLAM-2-70b-fc-r",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)