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Comparison · 2 models · Updated Oct 4, 2026

Llama-3.2-11B-Vision-Instruct vs Qwen Flash

Qwen Flash comes out ahead, 68 to 58 on our weighted score, and it is the cheaper option too.

  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. Our pick

    Alibaba (Qwen)

    Qwen Flash

    Released Jul 28, 2025

    68/100
    • ECI—
    • Price$0.05 / $0.40
    • Context1M
    Full specs Remove Qwen Flash

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Qwen Flash is our pick

Qwen Flash is the better all-round choice, scoring 68/100 against Llama-3.2-11B-Vision-Instruct (58). It leads on price and context window. Llama-3.2-11B-Vision-Instruct wins on inputs & features. 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 priceQwen FlashQwen Flash $0.138 · Llama-3.2-11B-Vision-Instruct $0.275 per 1M tokens (3:1 blend)
  • Longest contextQwen FlashQwen Flash 1,000,000 · Llama-3.2-11B-Vision-Instruct 128,000 tokens
  • Widest inputsLlama-3.2-11B-Vision-InstructLlama-3.2-11B-Vision-Instruct: Text, Images · Qwen Flash: Text
  • Self-hostingLlama-3.2-11B-Vision-InstructPublishes downloadable weights
How the score is built
MeasureWeightLlama-3.2-11B-Vision-InstructQwen Flash
Price50%7691
Inputs & features30%5035
Context window20%2460
Overall100%58/10068/100

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 Flash specifications side by side
SpecificationLlama-3.2-11B-Vision-InstructMetaQwen FlashAlibaba (Qwen)
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.197$0.05 (best)
Output$0.51$0.40 (best)
Cached input——
Blended (3:1)$0.275$0.138 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 2 providersOfficial Alibaba API
Limits
Context window128,000 tokens1,000,000 tokens (best)
Max output4,096 tokens32,768 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenProprietary
API model ID—qwen-flash
API providers26 (best)
ReleasedSep 25, 2024Jul 28, 2025
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 Flash$1.30
04 — Questions

Which should you choose?

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

Qwen Flash is the better all-round choice, scoring 68/100 against Llama-3.2-11B-Vision-Instruct (58). It leads on price and context window. Llama-3.2-11B-Vision-Instruct wins on inputs & features. 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 Flash?

Qwen Flash is cheaper at $0.05 input / $0.40 output per million tokens (official Alibaba API price). Llama-3.2-11B-Vision-Instruct costs $0.197 input / $0.51 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.138 per million tokens for Qwen Flash versus $0.275 for Llama-3.2-11B-Vision-Instruct (2× 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 Flash 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 Flash 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 Flash has the largest context window at 1,000,000 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 Flash up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Llama-3.2-11B-Vision-Instruct accepts text and images; Qwen Flash accepts text. Llama-3.2-11B-Vision-Instruct handles the widest range of inputs.

Are any of these open source?

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

Which is newer?

Qwen Flash is the newest, released Jul 28, 2025. Llama-3.2-11B-Vision-Instruct came out Sep 25, 2024. Knowledge cutoff: Llama-3.2-11B-Vision-Instruct Dec 2023, Qwen Flash 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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