Claude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MClaude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/M
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Llama 3.1 8B Instruct

text->text

Small, fast Llama 3.1. The default cheap open-weights model in 2024–25 across Groq, Cerebras and Together.

Llama 3.1 8B Instruct is a efficient AI model from Meta. It costs $0.020 per million input tokens and $0.030 per million output tokens (blended $0.023/M), with a 131K-token context window.

Profile inherited from upstream Llama 3.1 8B ↗ — this is a hosted variant of the same open-weights model.

Released Jul 2024Modalities textOfficial model page ↗API docs ↗Pricing source ↗Compare with another model →Estimate monthly cost →
INPUT
$0.020/M
per million input tokens
OUTPUT
$0.030/M
per million output tokens
BLENDED 70/30
$0.023/M
default reference rate · how it's calculated →
CONTEXT
131K
131,072 tokens
What it's good at
  • Cheap
  • Fast on LPU/Cerebras
  • Open weights
  • 128K context
Typical use cases
  • Bulk classification
  • Cheap chat
  • Edge inference
Benchmarks
vs. best public score
Scores inherited from Llama 3.1 8B — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MMLU73%
Multitask academic knowledge across 57 subjects.
GPQA Diamond31%
Graduate-level science questions, "Google-proof".
MATH51%
High-school competition math problems.
HumanEval73%
Python function synthesis from docstrings.
LMArena Elo1180 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources — treat as directional rather than authoritative.
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Llama 3.3 70B
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Llama 3.1 405B
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Llama 3.1 70B
Balanced · 128K ctx
in $0.350/Mout $0.400/M
Llama 3.1 8B
Compact · 128K ctx
in $0.100/Mout $0.100/M
Frequently asked questions

How much does Llama 3.1 8B Instruct cost?

Llama 3.1 8B Instruct costs $0.020 per million input tokens and $0.030 per million output tokens, for a blended reference rate of $0.023 per million tokens.

What is Llama 3.1 8B Instruct's context window?

Llama 3.1 8B Instruct supports up to 131K tokens of context (131,072 tokens).

What is Llama 3.1 8B Instruct best for?

Llama 3.1 8B Instruct is well suited to Cheap, Fast on LPU/Cerebras and Open weights.

Who makes Llama 3.1 8B Instruct?

Llama 3.1 8B Instruct is developed and served by Meta. It was released in Jul 2024.