What are Llama 3.2 Instruct 11B (Vision)'s benchmark scores?

As of 25 Oct 2026, Llama 3.2 Instruct 11B (Vision) scores 36.5 ±6.2 on the BenchLeader Index, strongest in reasoning (41) and weakest in multimodal (16). That rests on 9 independent benchmark results, and every score on this page links to its publisher.

How does Llama 3.2 Instruct 11B (Vision) rank?

Llama 3.2 Instruct 11B (Vision) is #746 of 785 ranked configurations on 25 Oct 2026. 209 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.

How much does Llama 3.2 Instruct 11B (Vision) cost per 1M tokens?

As of 25 Oct 2026, Llama 3.2 Instruct 11B (Vision) costs $0.350 per 1M input tokens and $0.350 per 1M output tokens, $0.350 blended (three input tokens per output token).

When was Llama 3.2 Instruct 11B (Vision) released?

Meta released Llama 3.2 Instruct 11B (Vision) on 24 Sept 2024.

Meta Open weights: meta-llama/Llama-3.2-11B-Vision-Instruct Compare with another model

Llama 3.2 Instruct 11B (Vision)

Llama 3.2 Instruct 11B (Vision) is a Meta open-weights model, released 24 Sept 2024. Its best configuration ranks #746 of 785 on the BenchLeader Index at 36.5 ±6.2, in the lower half. The ± is the point: 209 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in reasoning (41) and lowest in multimodal (16). At $0.350 per million tokens blended it is cheaper than most ranked models. Output speed of 23 tokens per second puts it in the slowest quarter, with a first answer in 1.3 s. Last measured 19 Oct 2026.

Blended price: $0.350/M; $0.350 in · $0.350 out
Output speed: 23 tok/s; measured by Artificial Analysis
First answer: 1.28 s; first token 1.28 s
Context: 128k
Full answer: 23 s; median, reasoning included
Cost per run: –
Released: 24 Sept 2024

How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.

Overall index37
Reasoning41
Agents & tools34
Knowledge33
Instruction following34
Multimodal16
Long context30
Composite36

How its index has moved

9 Sept 2026 to 21 Oct 2026

The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.

Benchmark results

See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

Benchmark	not stated	Source
GPQA Diamond (AA)not in index	22.1%#555	Artificial Analysis
Humanity's Last Exam (AA)not in index	5.5%#421	Artificial Analysis
CritPt	0.0%#315	Artificial Analysis

Agents & tools

Benchmark	not stated	Source
Terminal-Bench Hard	0.8%#349	Artificial Analysis
τ²-Bench Telecom (AA)not in index	14.6%#364	Artificial Analysis
BALROGnot in index	16.8%#28	BALROG

Knowledge

Benchmark	not stated	Source
AA-Omniscience	-62.6#481	Artificial Analysis
MMLUnot in index	56.5%#85	Epoch AI Benchmarking Hub
AA-Omniscience: accuracynot in index	10.6%#491	Artificial Analysis
AA-Omniscience: non-hallucinationnot in index	18.1%#302	Artificial Analysis

Instruction following

Benchmark	not stated	Source
IFBench	30.4%#362	Artificial Analysis

Multimodal

Benchmark	not stated	Source
Arena Vision	966#149	Arena (LMArena)
MMMU-Pro	29.3%#276	Artificial Analysis
VISTA	20.5%#56	Scale AI SEAL

Long context

Benchmark	not stated	Source
AA-LCR	12.7%#461	Artificial Analysis

Composite

Benchmark	not stated	Source
AA Intelligence Index v4.3.2	5.4#581	Artificial Analysis

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.

Workload	Tokens in / out	Cost	With caching	Time
Chat reply	400 / 300	$0.0002	–	14.4 s
Summarize a 30-page report	12,000 / 600	$0.0044	–	27.5 s
Code edit	6,000 / 1,500	$0.0026	–	1.1 min
Agentic coding session	60,000 / 4,000	$0.022	–	2.9 min
Structured extraction	2,000 / 200	$0.0008	–	10.0 s

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Questions people ask

What are Llama 3.2 Instruct 11B (Vision)'s benchmark scores?: As of 25 Oct 2026, Llama 3.2 Instruct 11B (Vision) scores 36.5 ±6.2 on the BenchLeader Index, strongest in reasoning (41) and weakest in multimodal (16). That rests on 9 independent benchmark results, and every score on this page links to its publisher.
How does Llama 3.2 Instruct 11B (Vision) rank?: Llama 3.2 Instruct 11B (Vision) is #746 of 785 ranked configurations on 25 Oct 2026. 209 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
How much does Llama 3.2 Instruct 11B (Vision) cost per 1M tokens?: As of 25 Oct 2026, Llama 3.2 Instruct 11B (Vision) costs $0.350 per 1M input tokens and $0.350 per 1M output tokens, $0.350 blended (three input tokens per output token).
When was Llama 3.2 Instruct 11B (Vision) released?: Meta released Llama 3.2 Instruct 11B (Vision) on 24 Sept 2024.

Data as of 25 Oct 2026. Compare with another model.

Cite as: BenchLeader, “Llama 3.2 Instruct 11B (Vision): benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/llama-3-2-11b-vision.