MDL
Llama 3.2 Instruct 11B (Vision)
Meta
Verified against Artificial Analysis · Jul 13, 2026
Capability
29
percentile index
Price /M
$0.345 / $0.345
in / out
Context
—
Avg score
18.8
11 benchmarks
AA Intelligence
3.3
index
Speed
109 tok/s
TTFT 0.5s
Released
Sep 25, 2024
About
Llama 3.2 Instruct 11B (Vision) is a open-weights model in the Llama family from Meta. Benchmarked on 11 evals, averaging 18.8.
Benchmark scores · 11
avg 18.8 — higher is betterThe research behind this model
all papers mentioning it →Information-Aware KV Cache Compression for Long Reasoning▲ 11 on HF · Jun 25, 2026Off-the-Shelf LLMs as Process Scorers: Training-Free Alternative to PRMs for Mathematical Reasoning▲ 7 on HF · Jun 1, 2026BioRefusalAudit: Auditing Biosecurity Refusal Depth Using General and Domain-Fine-Tuned Sparse AutoencodersMay 28, 2026Analyzing Quality-Latency-Resource Trade-offs in a Technical Documentation RAG Assistant Using LoRA AdaptationMay 27, 2026NestedKV: Nested Memory Routing for Long-Context KV Cache CompressionMay 26, 2026
Mentions matched by name in title/abstract — from the arXiv + HF daily corpus.
Performance & price
Output speed109 tok/s
Latency (TTFT)0.5s
Price in / out$0.345 / $0.345 per 1M
Blended price$0.345 / 1M
Math index1.7
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$0.345/M