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Comparison · 2 models · Updated Oct 4, 2026

Llama-3.2-11B-Vision-Instruct vs Qwen3-VL 30B-A3B

Too close to call on our weighted score (Qwen3-VL 30B-A3B 59, Llama-3.2-11B-Vision-Instruct 58). 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)

    Qwen3-VL 30B-A3B

    Released Apr 2025

    59/100
    • ECI—
    • Price$0.20 / $0.80
    • Context131K
    Full specs Remove Qwen3-VL 30B-A3B

  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 (Qwen3-VL 30B-A3B 59/100, Llama-3.2-11B-Vision-Instruct 58/100), so choose by what matters most for your work: Llama-3.2-11B-Vision-Instruct on price and Qwen3-VL 30B-A3B 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 · Qwen3-VL 30B-A3B $0.35 per 1M tokens (3:1 blend)
  • Longest contextQwen3-VL 30B-A3BQwen3-VL 30B-A3B 131,072 · Llama-3.2-11B-Vision-Instruct 128,000 tokens
  • Widest inputsSame inputsLlama-3.2-11B-Vision-Instruct: Text, Images · Qwen3-VL 30B-A3B: Text, Images
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightLlama-3.2-11B-Vision-InstructQwen3-VL 30B-A3B
Price50%7672
Inputs & features30%5060
Context window20%2424
Overall100%58/10059/100

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 Qwen3-VL 30B-A3B specifications side by side
SpecificationLlama-3.2-11B-Vision-InstructMetaQwen3-VL 30B-A3BAlibaba (Qwen)
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.197 (best)$0.20
Output$0.51 (best)$0.80
Cached input——
Blended (3:1)$0.275 (best)$0.35
Long-context rateSame rateSame rate
Price sourceMedian of 2 providersOfficial Alibaba API
Limits
Context window128,000 tokens131,072 tokens (best)
Max output4,096 tokens32,768 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model ID—qwen3-vl-30b-a3b
API providers2 (best)1
ReleasedSep 25, 2024Apr 2025
Knowledge cutoffDec 2023Apr 2025
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
  • Qwen3-VL 30B-A3B$3.60
04 — Questions

Which should you choose?

Which is better: Llama-3.2-11B-Vision-Instruct or Qwen3-VL 30B-A3B?

It is close. Our weighted score puts them within a point (Qwen3-VL 30B-A3B 59/100, Llama-3.2-11B-Vision-Instruct 58/100), so choose by what matters most for your work: Llama-3.2-11B-Vision-Instruct on price and Qwen3-VL 30B-A3B 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 Qwen3-VL 30B-A3B?

Llama-3.2-11B-Vision-Instruct is cheaper at $0.197 input / $0.51 output per million tokens (median across 2 API providers). Qwen3-VL 30B-A3B costs $0.20 input / $0.80 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 $0.35 for Qwen3-VL 30B-A3B (1.3× 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 Qwen3-VL 30B-A3B 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 Qwen3-VL 30B-A3B 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?

Qwen3-VL 30B-A3B 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, Qwen3-VL 30B-A3B up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Llama-3.2-11B-Vision-Instruct accepts text and images; Qwen3-VL 30B-A3B accepts text and images. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights, so you can self-host them.

Which is newer?

Qwen3-VL 30B-A3B is the newest, released Apr 2025. Llama-3.2-11B-Vision-Instruct came out Sep 25, 2024. Knowledge cutoff: Llama-3.2-11B-Vision-Instruct Dec 2023, Qwen3-VL 30B-A3B Apr 2025.

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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