MDL
Llama 3.1 Instruct 8B
Meta
Verified against Artificial Analysis · Jul 27, 2026
Capability
31
percentile index
Price /M
$0.075 / $0.09
in / out
Context
—
Avg score
20.1
11 benchmarks
AA Intelligence
7.6
index
Weights
Open
Released
Jul 23, 2024
About
Llama 3.1 Instruct 8B is a open-weights model in the Llama family from Meta. Benchmarked on 11 evals, averaging 20.1.
Benchmark scores · 11
avg 20.1 — higher is betterThe research behind this model
all papers mentioning it →K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs▲ 56 on HF · May 10, 2026Self-Guided Test-Time Training for Long-Context LLMs▲ 19 on HF · Jul 10, 2026Information-Aware KV Cache Compression for Long Reasoning▲ 11 on HF · Jun 25, 2026RoPE-Aware Bit Allocation for KV-Cache Quantization▲ 8 on HF · Jun 23, 2026Off-the-Shelf LLMs as Process Scorers: Training-Free Alternative to PRMs for Mathematical Reasoning▲ 7 on HF · Jun 1, 2026
Mentions matched by name in title/abstract — from the arXiv + HF daily corpus.
Performance & price
Price in / out$0.075 / $0.09 per 1M
Blended price$0.079 / 1M
Coding index5.4
Math index4.3
Median across API providers, via Artificial Analysis. Blended = 3:1 input:output. For reasoning models, latency includes thinking time. Methodology →
History
full ledger →Capability over time
Append-only ledger — every observed change to this model's numbers.
API providers
Artificial Analysis$0.09/M