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Comparison · 2 models · Updated Oct 4, 2026

Llama-3.2-11B-Vision-Instruct vs Qwen-VL OCR

Llama-3.2-11B-Vision-Instruct comes out ahead, 58 to 36 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Meta

    Llama-3.2-11B-Vision-Instruct

    Released Sep 25, 2024

    58/100
    • ECI—
    • Price$0.197 / $0.51
    • Context128K
    Full specs Remove Llama-3.2-11B-Vision-Instruct

  2. Alibaba (Qwen)

    Qwen-VL OCR

    Released Oct 28, 2024

    36/100
    • ECI—
    • Price$0.72 / $0.72
    • Context34K
    Full specs Remove Qwen-VL OCR

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Llama-3.2-11B-Vision-Instruct is our pick

Llama-3.2-11B-Vision-Instruct is the better all-round choice, scoring 58/100 against Qwen-VL OCR (36). It leads on price, inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. 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 $0.275 · Qwen-VL OCR $0.72 per 1M tokens (3:1 blend)
  • Longest contextLlama-3.2-11B-Vision-InstructLlama-3.2-11B-Vision-Instruct 128,000 · Qwen-VL OCR 34,096 tokens
  • Widest inputsSame inputsLlama-3.2-11B-Vision-Instruct: Text, Images · Qwen-VL OCR: Text, Images
  • Self-hostingLlama-3.2-11B-Vision-InstructPublishes downloadable weights
How the score is built
MeasureWeightLlama-3.2-11B-Vision-InstructQwen-VL OCR
Price50%7657
Inputs & features30%5025
Context window20%241
Overall100%58/10036/100

Left out because at least one model lacks the data: capability. 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-3.2-11B-Vision-Instruct vs Qwen-VL OCR specifications side by side
SpecificationLlama-3.2-11B-Vision-InstructMetaQwen-VL OCRAlibaba (Qwen)
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.197 (best)$0.72
Output$0.51 (best)$0.72
Cached input——
Blended (3:1)$0.275 (best)$0.72
Long-context rateSame rateSame rate
Price sourceMedian of 2 providersOfficial Alibaba API
Limits
Context window128,000 tokens (best)34,096 tokens
Max output4,096 tokens4,096 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesNo
Structured outputNoNo
Availability
WeightsOpenProprietary
API model ID—qwen-vl-ocr
API providers2 (best)1
ReleasedSep 25, 2024Oct 28, 2024
Knowledge cutoffDec 2023Apr 2024
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-3.2-11B-Vision-Instruct$2.99
  • Qwen-VL OCR$8.64
04 — Questions

Which should you choose?

Which is better: Llama-3.2-11B-Vision-Instruct or Qwen-VL OCR?

Llama-3.2-11B-Vision-Instruct is the better all-round choice, scoring 58/100 against Qwen-VL OCR (36). It leads on price, inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Llama-3.2-11B-Vision-Instruct or Qwen-VL OCR?

Llama-3.2-11B-Vision-Instruct is cheaper at $0.197 input / $0.51 output per million tokens (median across 2 API providers). Qwen-VL OCR costs $0.72 input / $0.72 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.275 per million tokens for Llama-3.2-11B-Vision-Instruct versus $0.72 for Qwen-VL OCR (2.6× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Llama-3.2-11B-Vision-Instruct has not been scored yet and Qwen-VL OCR has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Llama-3.2-11B-Vision-Instruct and Qwen-VL OCR yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Qwen-VL OCR does not support tool calling, which most coding agents need.

Which has the bigger context window?

Llama-3.2-11B-Vision-Instruct has the largest context window at 128,000 tokens, against 34,096 for Qwen-VL OCR. Maximum output per response: Llama-3.2-11B-Vision-Instruct up to 4,096, Qwen-VL OCR up to 4,096 tokens.

Which can read images, PDFs, audio or video?

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

Are any of these open source?

Llama-3.2-11B-Vision-Instruct publishes its weights and can be self-hosted; Qwen-VL OCR is proprietary.

Which is newer?

Qwen-VL OCR is the newest, released Oct 28, 2024. Llama-3.2-11B-Vision-Instruct came out Sep 25, 2024. Knowledge cutoff: Llama-3.2-11B-Vision-Instruct Dec 2023, Qwen-VL OCR Apr 2024.

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 Oct 4, 2026.

05 — Keep comparing

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