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Llama-3.3-70B-Instruct

Meta · llama-3-3-70b

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Open Llama instruction model for multilingual chat, reasoning, and coding

Specification

most-agreed values

Context
128K
Max output
8K
Released
2024-12-06
Knowledge cutoff
2023-12
Retires
2026-02-16
Open weights
yes
Input
text
Output
text

Price

US dollars per million tokens · most-agreed

Input
$0.72
Output
$0.72

Quality

3 benchmarks · 1 source

Composite
22nd
percentile of 344 scored models
Rank
268 / 344
±0.06 sd
Evidence
3 × 1
one source, or fewer than 3 benchmarks
Effort range
—
one configuration only
reasoning25th1/4 bench
math20th2/7 bench

Every score

one row per source and configuration — nothing averaged away

BenchmarkScoreConfigurationSourceRun
MATH level 541.6 ±1.2defaultEpoch AI2025-01-27
GPQA diamond47.4 ±2.9defaultEpoch AI2025-01-27
OTIS Mock AIME 2024-20255.1 ±2.4defaultEpoch AI2025-02-25

The leading figure for a benchmark is the median across its configurations, so one heroic high-effort run cannot set the number.

Available from 7 hosts

HostIn $/MOut $/MCache rdCache wrContextOutputRetires
kyma · kyma$0.135$0.432——128K8K—
inferenceapis · inferenceapis$0.20$0.50——131K131K—
venice$0.70$2.80——128K4K—
snowflake$0.72$0.72——128K16K—
vercel$0.72$0.72——128K8K—
vercel_ai_gateway · vercel-ai-gateway$0.72$0.72——128K8K—
cerebras$0.85$1.20——128K128K2026-02-16

Price history

append-only observations · a listing writes a row only when its price moves

DateHostField$/M
2026-09-02vercelInputfree
2026-10-22vercelInput$0.72
2026-09-02vercelOutputfree
2026-10-22vercelOutput$0.72

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