ModelPriceWatch.com
Last scan 2026-09-22 Models tracked 266 Providers 35 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

Llama 3.3 70B

by Together · 70B parameters

Current open weights open weights mid tier

Today's price · per 1M tokens

Input

$1.04

per 1M tokens

Output

$1.04

per 1M tokens

Blended

$1.04

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

Source: official Together pricing · read MODELPRICEWATCH.COM · 2026-09-22

Price receipt

We read Together's own pricing page on and found Llama 3.3 70B 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 0db20f21ed.

Llama 3.3 70B is available on 2 hosts. See the full cheapest-first comparison on the consolidated Llama 3.3 70B page →

Overview

Llama 3.3 70B on Together. $1.04/$1.04 per 1M tokens. (Cheaper on Groq at $0.59/$0.79.)

Run it yourself

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Capabilities

struck through = not supported
Input 1/4
Text Image Audio Video
Output
Text
Features 2/9
Prompt caching Reasoning Coding Fast inference Long context Open weights Multimodal Web search Realtime

Benchmark performance

accuracy % · higher is better
Avg benchmark score46.6%
Perf per $/Mtok44.8
GPQA Diamond
50.5%
SWE-Bench Verified
22%
Humanity's Last Exam
10%
ARC-AGI 2
12%
AIME 2025
38%
MMMLU
72%
BFCL
77.3%
HumanEval
78%
MATH 500
60%
How it stacks up
  • Ranks #72 of 84 benchmarked models by average score
  • Ranks #144 of 181 comparably-measured models by percentile score, across 9 independent measurements
  • Ranks #125 of 181 comparably-tested models by normalized performance per dollar
  • Strongest at BFCL — 77.3%, #6 of 24

2500 tokens/sec output

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

Specifications

Provider
Together
Context window
131K tokens
Modality
text
Parameters
70B
Open source
Yes — open weights available
Released
Status
Current
Last updated
Tags
open-weights

Availability verified: listed on Together's own page