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Meta

Llama 3 Instruct 8B

Llama 3 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 Speed82.2 tok/s
First Token0.50s
Blended Price$0.070/M

Model Metadata

Queryable facts extracted from the upstream model payload.

ReleaseApr 18, 2024
Context Windown/a
Modalitiesn/a
API fields: release_date

Strength: Blended $

Rank #11 across 325 models.

$0.070/M

Strength: Input $

Rank #12 across 325 models.

$0.045/M

Strength: Output $

Rank #12 across 325 models.

$0.145/M

Watch Area: Overall

Rank #489 across 500 models.

6.4

Watch Area: AIME

Rank #188 across 194 models.

0.0%

Watch Area: GPQA

Rank #445 across 478 models.

29.6%

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 Indexoverall6.4#489
Artificial Analysis Coding Indexcoding4.0#373
MMLU-Proreasoning40.5%#319
GPQAreasoning29.6%#445
Humanity's Last Exam
reasoning
5.1%
#289
LiveCodeBenchcoding9.6%#319
SciCodecoding, reasoning11.9%#409
MATH-500math49.9%#173
AIMEmath0.0%#188
Output Speedspeed82.2 tok/s#157
Time to First Tokenspeed0.50s#46
Blended Pricecost$0.070/M#11
Input Pricecost$0.045/M#12
Output Pricecost$0.145/M#12
Value Indexcost, overall91.4#56