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Last scan 2026-10-30 Models tracked 303 Providers 41 Cheapest paid pplx-decider-flash-v1.2 $0.010/Mtok in Every price links to its source

Llama 3.1 8B

by Meta · 8B parameters

Retired open weights open weights cheap tier
Email me when Llama 3.1 8B gets cheaper
Retired on . No longer served on the endpoint we price — the figures below are kept for historical reference only. Full retirement status & replacements →
Availability: Meta does not sell this model per token; its developer rate card (dev.meta.ai/docs/pricing-rate-limits) prices only Muse models. The price on this row was Groq's, and Groq shut llama-3.1-8b-instant down for self-serve accounts on 2026-08-16 (console.groq.com/docs/deprecations; enterprise contracts are excepted). The same price on Groq's own row, groq-llama-3-1-8b-instant, has been Retired since then. The rate shown is the last public per-token price Groq charged, and you can no longer buy it.

Today's price · per 1M tokens

Input

$0.050

per 1M tokens

Output

$0.080

per 1M tokens

Blended

$0.058

blended $/1M — 3:1 weighted input:output

Source: official Meta pricing · read MODELPRICEWATCH.COM · 2026-10-30

Price receipt

We read Meta's own pricing page on and found Llama 3.1 8B listed with a price on the same row — that read is where the number above comes from. We keep the page text we read; its content hash is 5268b840bd.

Overview

Small, fast open-weights model. Cheapest hosted price via Groq: $0.05/$0.08 per 1M tokens.

Run it yourself

Deploy this open model on rented GPUs

Open weights mean you can self-host instead of paying per-token API prices. These platforms let you serve it on demand — often cheaper at scale.

RunPod →
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Novita AI →
Serverless open-model inference billed per token — no GPU ops.
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Capabilities

struck through = not supported
Input 1/4
Text ✓ Image Audio Video
Output
Text ✓
Features 3/9
Prompt caching Reasoning Coding Fast inference ✓ Long context ✓ Open weights ✓ Multimodal Web search Realtime

Benchmark performance

accuracy % · higher is better
Avg benchmark score34%
Perf per $/Mtok591.3
GPQA Diamond
30%
SWE-Bench Verified
12%
Humanity's Last Exam
5%
ARC-AGI 2
6%
AIME 2025
20%
MMMLU
65%
BFCL
48%
HumanEval
72%
MATH 500
48%
How it stacks up
  • Ranks #96 of 100 benchmarked models by average score
  • Ranks #183 of 194 comparably-measured models by percentile score, across 9 independent measurements
  • Ranks #42 of 194 comparably-tested models by normalized performance per dollar
  • Strongest at HumanEval — 72%, #41 of 47

1800 tokens/sec output 0.32s latency to first token (TTFT)

Source: Vellum LLM Leaderboard (Jun 2026), Kaggle dataset · updated · See full rankings →

Specifications

Provider
Meta
Context window
128K tokens
Modality
text
Parameters
8B
Open source
Yes — open weights available
Released
Status
Retired ended
Last updated
Tags
open-weightsfastretired

Availability verified: — per Meta's own deprecation notice

Official pricing page