Llama-3.2-11B-Vision-Instruct: benchmark scores, price and ranking

Llama-3.2-11B-Vision-Instruct from Meta AI ranks #385 of 743 LLMs on the LLMs Tiger aggregate benchmark score (48.0), based on 1 benchmark results captured up to 2026-10-13.

Organisation: Meta AI
Type: Open-weight / local model
Open weights: Yes
Released: 2024-09-24 (source: epoch)
Cheapest API price: $0.049 in / $0.049 out per million tokens (via deepinfra, observed 2026-10-13T20:47Z)
Aggregate rank: #385 of 743 (score 48.0)

Across the 1 benchmark where at least ten models are scored, Llama-3.2-11B-Vision-Instruct is in the top 10% on 0 and in the top half on 0.

Its cheapest listed input price, $0.049 per million tokens, is lower than that of 94% of the 427 models with a listed price.

Llama-3.2-11B-Vision-Instruct benchmark results

Llama-3.2-11B-Vision-Instruct benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
BALROG	16.8%	#25 of 34	Epoch AI Benchmarking Hub	2026-10-13

About Llama-3.2-11B-Vision-Instruct

Llama-3.2-11B-Vision-Instruct is an open-weight model that can run on your own hardware from Meta AI. It was released on 2024-09-24, according to Epoch AI. The cheapest API listing we track charges $0.049 per million input tokens and $0.049 per million output tokens, through deepinfra. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where Llama-3.2-11B-Vision-Instruct stands

On our aggregate score, Llama-3.2-11B-Vision-Instruct is #385 of 743 ranked models, around the middle of the table. Its score is 48.0; the scale is centred on 50, so it sits 2.0 points below the typical model. That beats 48% of the ranked field. Among the 28 ranked Meta AI models it is #8. The next one up is Muse Glimmer (high) at 48.3. The next one down is Llama 3.1-70B at 47.5.

Llama-3.2-11B-Vision-Instruct, benchmark by benchmark

Llama-3.2-11B-Vision-Instruct lands below the middle on BALROG: 16.8%, #25 of 34, with 71% of the field scoring higher. GPT-6 Astra (max) leads at 68.3%; the closest result above is gpt-4o-mini-2024-07-18 at 17.4%. It covers long-horizon game-playing agents. The board median is 27.6%, so Llama-3.2-11B-Vision-Instruct is 10.8 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Price and value

The median input price across the 427 priced models is $0.500 per million tokens, so Llama-3.2-11B-Vision-Instruct costs less than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4.1 Flash (high) ($0.010, 48.9), DeepSeek V4 Flash 0731 (max) ($0.016, 53.1). Similar scores cost more on granite-4.1-8b ($0.050) and Mellum2-12B-A2.5B-Instruct ($0.050).

Release history

The Meta AI model released before it was Llama-3.1-8B-Instruct on 2024-07-23, which scores 36.7. The next one was Llama 3.2 1B on 2024-09-24, at 42.0.

Reading these numbers

The 1 score on this page comes from 1 source: Epoch AI Benchmarking Hub (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.

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