MDL
Llama 3.1 Instruct 70B
Meta
Verified against Artificial Analysis · Jul 13, 2026
Capability
38
percentile index
Price /M
$0.56 / $0.56
in / out
Context
—
Avg score
26.4
11 benchmarks
AA Intelligence
6.8
index
Speed
35 tok/s
TTFT 0.6s
Released
Jul 23, 2024
About
Llama 3.1 Instruct 70B is a open-weights model in the Llama family from Meta. Benchmarked on 11 evals, averaging 26.4.
Benchmark scores · 11
avg 26.4 — higher is betterThe research behind this model
all papers mentioning it →Information-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, 2026Self-Guided Test-Time Training for Long-Context LLMs▲ 2 on HF · Jul 10, 2026When Agents Commit Too Soon: Diagnosing Premature Commitment in LLM Agents▲ 2 on HF · Jun 22, 2026
Mentions matched by name in title/abstract — from the arXiv + HF daily corpus.
Performance & price
Output speed35 tok/s
Latency (TTFT)0.6s
Price in / out$0.56 / $0.56 per 1M
Blended price$0.56 / 1M
Math index4.0
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$0.56/M