ZMIME
Comparison · 2 models · Updated Oct 4, 2026

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

Too close to call on our weighted score (Llama-3.2-11B-Vision-Instruct 58, Qwen-VL Plus 57). The right pick depends on what you value most.

  1. 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 Plus

    Released Jan 25, 2024

    57/100
    • ECI—
    • Price$0.21 / $0.63
    • Context131K
    Full specs Remove Qwen-VL Plus

  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 1 points (Llama-3.2-11B-Vision-Instruct 58/100, Qwen-VL Plus 57/100), so choose by what matters most for your work: Llama-3.2-11B-Vision-Instruct on price and Qwen-VL Plus for long inputs. 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 Plus $0.315 per 1M tokens (3:1 blend)
  • Longest contextQwen-VL PlusQwen-VL Plus 131,072 · Llama-3.2-11B-Vision-Instruct 128,000 tokens
  • Widest inputsSame inputsLlama-3.2-11B-Vision-Instruct: Text, Images · Qwen-VL Plus: Text, Images
  • Self-hostingLlama-3.2-11B-Vision-InstructPublishes downloadable weights
How the score is built
MeasureWeightLlama-3.2-11B-Vision-InstructQwen-VL Plus
Price50%7674
Inputs & features30%5050
Context window20%2424
Overall100%58/10057/100

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 Plus specifications side by side
SpecificationLlama-3.2-11B-Vision-InstructMetaQwen-VL PlusAlibaba (Qwen)
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.197 (best)$0.21
Output$0.51 (best)$0.63
Cached input——
Blended (3:1)$0.275 (best)$0.315
Long-context rateSame rateSame rate
Price sourceMedian of 2 providersOfficial Alibaba API
Limits
Context window128,000 tokens131,072 tokens (best)
Max output4,096 tokens8,192 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenProprietary
API model ID—qwen-vl-plus
API providers22
ReleasedSep 25, 2024Jan 25, 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 Plus$3.36
04 — Questions

Which should you choose?

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

It is close. Our weighted score puts them within 1 points (Llama-3.2-11B-Vision-Instruct 58/100, Qwen-VL Plus 57/100), so choose by what matters most for your work: Llama-3.2-11B-Vision-Instruct on price and Qwen-VL Plus for long inputs. 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 Plus?

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 Plus costs $0.21 input / $0.63 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 $0.315 for Qwen-VL Plus (1.1× 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 Plus 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 Plus 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?

Qwen-VL Plus has the largest context window at 131,072 tokens, against 128,000 for Llama-3.2-11B-Vision-Instruct. Maximum output per response: Llama-3.2-11B-Vision-Instruct up to 4,096, Qwen-VL Plus up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Llama-3.2-11B-Vision-Instruct accepts text and images; Qwen-VL Plus 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 Plus is proprietary.

Which is newer?

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

Related comparisons