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Meta

Llama 3.1 Instruct 8B

Llama 3.1 Instruct 8B is a Meta Llama 3 family model, part of Meta's widely deployed open-weight LLM series for assistants, retrieval, coding, and self-hosted applications. The profile helps compare this specific size and instruction variant with newer open and proprietary models in the local snapshot.

Introducing Meta Llama 3

Operational Metrics

Output Speed164.4 tok/s
First Token0.45s
Blended Price$0.100/M

Model Metadata

Queryable facts extracted from the upstream model payload.

ReleaseJul 23, 2024
Context Windown/a
Modalitiesn/a
API fields: release_date

Strength: Output $

Rank #5 across 325 models.

$0.100/M

Strength: Blended $

Rank #19 across 325 models.

$0.100/M

Strength: Input $

Rank #35 across 325 models.

$0.100/M

Watch Area: GPQA

Rank #460 across 478 models.

25.9%

Watch Area: Math

Rank #249 across 269 models.

4.3

Watch Area: LCB

Rank #307 across 343 models.

11.6%

Strength Profile

Percentile score by analysis domain.

* Cost is inverted: lower input, output, and blended prices rank higher.

Benchmark Percentiles

Higher bars mean stronger relative placement.

All Benchmarks

MetricDomainValueRank
Artificial Analysis Intelligence Indexoverall11.8#393
Artificial Analysis Coding Indexcoding4.9#364
Artificial Analysis Math Indexmath4.3#249
MMLU-Proreasoning47.6%#301
GPQA
reasoning
25.9%
#460
Humanity's Last Examreasoning5.1%#290
LiveCodeBenchcoding11.6%#307
SciCodecoding, reasoning13.2%#405
MATH-500math51.9%#171
AIMEmath7.7%#145
Output Speedspeed164.4 tok/s#41
Time to First Tokenspeed0.45s#32
Blended Pricecost$0.100/M#19
Input Pricecost$0.100/M#35
Output Pricecost$0.100/M#5
Value Indexcost, overall118.0#36