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Comparison · 2 models · Updated Nov 2, 2026

Llama-3.2-90B-Vision-Instruct vs Llama-3.2-11B-Vision-Instruct

Too close to call on our weighted score (Llama-3.2-90B-Vision-Instruct 40, Llama-3.2-11B-Vision-Instruct 40). The right pick depends on what you value most.

  1. Meta

    Llama-3.2-90B-Vision-Instruct

    Released Sep 25, 2024

    40/100
    • ECI125.5
    • Price—
    • Context128K
    Full specs Remove Llama-3.2-90B-Vision-Instruct

  2. Meta

    Llama-3.2-11B-Vision-Instruct

    Released Sep 25, 2024

    40/100
    • ECI—
    • Price$0.055 / $0.345
    • Context128K
    Full specs Remove Llama-3.2-11B-Vision-Instruct

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Llama-3.2-90B-Vision-Instruct 40/100, Llama-3.2-11B-Vision-Instruct 40/100), so choose by what matters most for your work: Llama-3.2-11B-Vision-Instruct on price. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceLlama-3.2-11B-Vision-InstructLlama-3.2-11B-Vision-Instruct $0.128 per 1M tokens (3:1 blend) · Llama-3.2-90B-Vision-Instruct unpriced
  • Longest contextAbout the sameLlama-3.2-90B-Vision-Instruct 128,000 · Llama-3.2-11B-Vision-Instruct 128,000 tokens
  • Widest inputsSame inputsLlama-3.2-90B-Vision-Instruct: Text, Images · Llama-3.2-11B-Vision-Instruct: Text, Images
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightLlama-3.2-90B-Vision-InstructLlama-3.2-11B-Vision-Instruct
Inputs & features60%5050
Context window40%2424
Overall100%40/10040/100

Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Llama-3.2-90B-Vision-Instruct vs Llama-3.2-11B-Vision-Instruct specifications side by side
SpecificationLlama-3.2-90B-Vision-InstructMetaLlama-3.2-11B-Vision-InstructMeta
Capability
Capabilities Index (ECI)125.5—
ECI rank#150 of 165—
GPQA DiamondGraduate-level science questions41.0%—
OTIS Mock AIME 2024–2025Competition mathematics2.6%—
Price per million tokens
Input—$0.055
Output—$0.345
Cached input——
Blended (3:1)—$0.128
Long-context rate—Same rate
Price source—Median of 3 providers
Limits
Context window128,000 tokens128,000 tokens
Max output4,096 tokens4,096 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenLlama 3.2 Community LicenseOpen
API model ID——
API providers14 (best)
ReleasedSep 25, 2024Sep 25, 2024
Knowledge cutoffDec 2023Dec 2023
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Llama-3.2-90B-Vision-Instruct—
  • Llama-3.2-11B-Vision-Instruct$1.24
04 — Questions

Which should you choose?

Which is better: Llama-3.2-90B-Vision-Instruct or Llama-3.2-11B-Vision-Instruct?

It is close. Our weighted score puts them within a point (Llama-3.2-90B-Vision-Instruct 40/100, Llama-3.2-11B-Vision-Instruct 40/100), so choose by what matters most for your work: Llama-3.2-11B-Vision-Instruct on price. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Llama-3.2-90B-Vision-Instruct or Llama-3.2-11B-Vision-Instruct?

Llama-3.2-11B-Vision-Instruct is cheaper at $0.055 input / $0.345 output per million tokens (median across 3 API providers). . At a typical mix of three input tokens to one output token, that is $0.128 per million tokens for Llama-3.2-11B-Vision-Instruct versus . Llama-3.2-90B-Vision-Instruct has no published per-token price.

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Llama-3.2-90B-Vision-Instruct has an ECI of 125.5 and Llama-3.2-11B-Vision-Instruct has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Llama-3.2-90B-Vision-Instruct and Llama-3.2-11B-Vision-Instruct yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Llama-3.2-90B-Vision-Instruct and Llama-3.2-11B-Vision-Instruct share the same 128,000-token context window. Maximum output per response: Llama-3.2-90B-Vision-Instruct up to 4,096, Llama-3.2-11B-Vision-Instruct up to 4,096 tokens.

Which can read images, PDFs, audio or video?

Llama-3.2-90B-Vision-Instruct accepts text and images; Llama-3.2-11B-Vision-Instruct accepts text and images. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights (Llama 3.2 Community License), so you can self-host them.

Which is newer?

Llama-3.2-90B-Vision-Instruct is the newest, released Sep 25, 2024. Llama-3.2-11B-Vision-Instruct came out Sep 25, 2024. Knowledge cutoff: Llama-3.2-90B-Vision-Instruct Dec 2023, Llama-3.2-11B-Vision-Instruct Dec 2023.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.

05 — Keep comparing

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