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Comparison · 2 models · Updated Nov 2, 2026

Llama-3.2-11B-Vision-Instruct vs Mistral Large 2.1

Llama-3.2-11B-Vision-Instruct comes out ahead, 64 to 25 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

    64/100
    • ECI—
    • Price$0.055 / $0.345
    • Context128K
    Full specs Remove Llama-3.2-11B-Vision-Instruct

  2. Mistral AI

    Mistral Large 2.1

    Released Nov 18, 2024

    25/100
    • ECI128.6
    • Price$2.00 / $6.00
    • Context131K
    Full specs Remove Mistral Large 2.1

  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 64/100 against Mistral Large 2.1 (25). It leads on price and 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 priceLlama-3.2-11B-Vision-InstructLlama-3.2-11B-Vision-Instruct $0.128 · Mistral Large 2.1 $3.00 per 1M tokens (3:1 blend)
  • Longest contextMistral Large 2.1Mistral Large 2.1 131,072 · Llama-3.2-11B-Vision-Instruct 128,000 tokens
  • Widest inputsLlama-3.2-11B-Vision-InstructLlama-3.2-11B-Vision-Instruct: Text, Images · Mistral Large 2.1: Text
  • 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-InstructMistral Large 2.1
Price50%8826
Inputs & features30%5025
Context window20%2425
Overall100%64/10025/100

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 Mistral Large 2.1 specifications side by side
SpecificationLlama-3.2-11B-Vision-InstructMetaMistral Large 2.1Mistral AI
Capability
Capabilities Index (ECI)—128.6
ECI rank—#142 of 165
GPQA DiamondGraduate-level science questions—51.3%
OTIS Mock AIME 2024–2025Competition mathematics—7.8%
Price per million tokens
Input$0.055 (best)$2.00
Output$0.345 (best)$6.00
Cached input——
Blended (3:1)$0.128 (best)$3.00
Long-context rateSame rateSame rate
Price sourceMedian of 3 providersMedian of 2 providers
Limits
Context window128,000 tokens131,072 tokens (best)
Max output4,096 tokens16,384 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model ID——
API providers4 (best)2
ReleasedSep 25, 2024Nov 18, 2024
Knowledge cutoffDec 2023Nov 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$1.24
  • Mistral Large 2.1$32.00
04 — Questions

Which should you choose?

Which is better: Llama-3.2-11B-Vision-Instruct or Mistral Large 2.1?

Llama-3.2-11B-Vision-Instruct is the better all-round choice, scoring 64/100 against Mistral Large 2.1 (25). It leads on price and 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 Mistral Large 2.1?

Llama-3.2-11B-Vision-Instruct is cheaper at $0.055 input / $0.345 output per million tokens (median across 3 API providers). Mistral Large 2.1 costs $2.00 input / $6.00 output per million tokens (median across 2 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 $3.00 for Mistral Large 2.1 (24× 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 Mistral Large 2.1 has an ECI of 128.6.

Which is better for coding?

There are no published SWE-bench Verified results for Llama-3.2-11B-Vision-Instruct and Mistral Large 2.1 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?

Mistral Large 2.1 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, Mistral Large 2.1 up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Llama-3.2-11B-Vision-Instruct accepts text and images; Mistral Large 2.1 accepts text. Llama-3.2-11B-Vision-Instruct handles the widest range of inputs.

Are any of these open source?

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

Which is newer?

Mistral Large 2.1 is the newest, released Nov 18, 2024. Llama-3.2-11B-Vision-Instruct came out Sep 25, 2024. Knowledge cutoff: Llama-3.2-11B-Vision-Instruct Dec 2023, Mistral Large 2.1 Nov 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 Nov 2, 2026.

05 — Keep comparing

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