Meta · Open weights

Llama 3.3 70B Wayfarer

Added Feb 20, 2025Open weights

Llama 3.3 70B Wayfarer is a fine-tuned version of Llama 3.3 70B, trained on a diverse set of creative writing and RP datasets with a focus on variety and deduplication. This model is designed to be highly creative and non-repetitive by making sure no two entries in the dataset have repeated characters or situations, which makes sure the model does not latch on to a certain personality and be capable of understanding and acting appropriately to any characters or situations.

Input: Text
Output: Text
Discovery tier: Open weights

Pricing

USD per 1M tokens

Input: $0.70
Output: $0.70

Reference prices as published by the model provider. API example

Specifications

Context window: 32.8K
Max output: —
Average output (7 days): 265 tokens; Longer than 27% of 465 models

Side by side

Llama 3.3 70B Wayfarer compared

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

Limits
	Llama 3.3 70B WayfarerMetaThis model	Muse Glimmer 30BMetaRemove
Provider	Meta	Meta
Discovery tier	Open weights	Open weights
Added	Feb 20, 2025	Aug 11, 2026
Context window	32.77K	131.07KBest
Average output	265 tokens	682 tokens
Pricing, USD per 1M tokens
Input	$0.70	$0.35Best
Output	$0.70Best	$1.50
Cache read	—	$0.04
Performance
Throughput	—	70.8 tok/s
Time to first token	—	1.1 s
Request success (24h)	17.8%	100.0%Best
Benchmark indexes
Intelligence Index	—	17.5
Coding Index	—	49.0
Capabilities
Reasoning	No	Yes
Tools	No	Yes
Vision	No	Yes
Structured output	No	Yes
Reasoning effort	—	minimal, low, medium, high, xhigh

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

Llama 3.3 70B Wayfarer
Muse Glimmer 30B

Intelligence Index

Llama 3.3 70B Wayfarer—
Muse Glimmer 30B17.5

3.8Catalog models by score55.1

Indexes

Coding Index
Composite of the coding evaluations
- Llama 3.3 70B Wayfarer: —
- Muse Glimmer 30B: 49.0

Agentic work

AutomationBench-AA
Workflow automation, penalized for guardrail violations
- Llama 3.3 70B Wayfarer: —
- Muse Glimmer 30B: 6.8%
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- Llama 3.3 70B Wayfarer: —
- Muse Glimmer 30B: 0.8%
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- Llama 3.3 70B Wayfarer: —
- Muse Glimmer 30B: 477 Elo
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- Llama 3.3 70B Wayfarer: —
- Muse Glimmer 30B: 783 Elo

Document reasoning

GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- Llama 3.3 70B Wayfarer: —
- Muse Glimmer 30B: 10.0%
AA-LCRv1.1
Reasoning across long documents
- Llama 3.3 70B Wayfarer: —
- Muse Glimmer 30B: 83.3%

Reasoning and knowledge

Humanity’s Last Exam
Expert-level questions across academic fields
- Llama 3.3 70B Wayfarer: —
- Muse Glimmer 30B: 22.0%
GPQA Diamond
Graduate-level science questions
- Llama 3.3 70B Wayfarer: —
- Muse Glimmer 30B: 83.5%

Coding

Terminal-Benchv4.0
Practical software engineering in a terminal
- Llama 3.3 70B Wayfarer: —
- Muse Glimmer 30B: 0.5%
SciCode
Scientific computing in Python
- Llama 3.3 70B Wayfarer: —
- Muse Glimmer 30B: 44.9%

Legacy evaluations

AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Llama 3.3 70B Wayfarer: —
- Muse Glimmer 30B: 83.3%

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Request success (24h): 17.8%

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": "LatitudeGames/Wayfarer-Large-70B-Llama-3.3",
    "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="LatitudeGames/Wayfarer-Large-70B-Llama-3.3",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Meta

Other Meta models, starting with the same family.