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Meta

Llama 3.1 Instruct 70B

Llama 3.1 Instruct 70B 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 Speed32.2 tok/s
First Token0.60s
Blended Price$0.560/M

Model Metadata

Queryable facts extracted from the upstream model payload.

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

Strength: TTFT

Rank #68 across 293 models.

0.60s

Strength: Output $

Rank #76 across 325 models.

$0.560/M

Watch Area: Speed

Rank #276 across 293 models.

32.2 tok/s

Watch Area: Math

Rank #251 across 269 models.

4.0

Watch Area: GPQA

Rank #387 across 478 models.

40.9%

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 Indexoverall12.5#374
Artificial Analysis Coding Indexcoding10.9#303
Artificial Analysis Math Indexmath4.0#251
MMLU-Proreasoning67.6%#239
GPQA
reasoning
40.9%
#387
Humanity's Last Examreasoning4.6%#343
LiveCodeBenchcoding23.2%#262
SciCodecoding, reasoning26.7%#296
MATH-500math64.9%#155
AIMEmath17.3%#107
Output Speedspeed32.2 tok/s#276
Time to First Tokenspeed0.60s#68
Blended Pricecost$0.560/M#125
Input Pricecost$0.560/M#175
Output Pricecost$0.560/M#76
Value Indexcost, overall22.3#185