ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-4o mini vs Llama-3.1-70B-Instruct vs Llama-3.2-11B-Vision-Instruct

GPT-4o mini comes out ahead, 64 to 58 and 41 on our weighted score, and it is the cheaper option too.

  1. Our pick

    OpenAI

    GPT-4o mini

    Released Jul 18, 2024

    64/100
    • ECI126.6
    • Price$0.15 / $0.60
    • Context128K
    Full specs Remove GPT-4o mini

  2. Meta

    Llama-3.1-70B-Instruct

    Released Jul 23, 2024

    41/100
    • ECI125.9
    • Price$0.72 / $0.72
    • Context128K
    Full specs Remove Llama-3.1-70B-Instruct

  3. 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
01 — Verdict

GPT-4o mini is our pick

GPT-4o mini is the better all-round choice, scoring 64/100 against Llama-3.2-11B-Vision-Instruct (58) and Llama-3.1-70B-Instruct (41). It leads 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 priceGPT-4o miniGPT-4o mini $0.263 · Llama-3.2-11B-Vision-Instruct $0.275 · Llama-3.1-70B-Instruct $0.72 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameGPT-4o mini 128,000 · Llama-3.1-70B-Instruct 128,000 · Llama-3.2-11B-Vision-Instruct 128,000 tokens
  • Widest inputsGPT-4o miniGPT-4o mini: Text, Images, PDFs · Llama-3.1-70B-Instruct: Text · Llama-3.2-11B-Vision-Instruct: Text, Images
  • Self-hostingLlama-3.1-70B-Instruct and Llama-3.2-11B-Vision-InstructPublishes downloadable weights
How the score is built
MeasureWeightGPT-4o miniLlama-3.1-70B-InstructLlama-3.2-11B-Vision-Instruct
Price50%775776
Inputs & features30%702550
Context window20%242424
Overall100%64/10041/10058/100

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.

GPT-4o mini vs Llama-3.1-70B-Instruct vs Llama-3.2-11B-Vision-Instruct specifications side by side
SpecificationGPT-4o miniOpenAILlama-3.1-70B-InstructMetaLlama-3.2-11B-Vision-InstructMeta
Capability
Capabilities Index (ECI)126.6 (best)125.9—
ECI rank#135 of 148 (best)#136 of 148—
GPQA DiamondGraduate-level science questions37.7%44.2% (best)—
FrontierMath Tiers 1–3Research-level mathematics0.7%——
OTIS Mock AIME 2024–2025Competition mathematics6.9% (best)3.6%—
SimpleQA VerifiedShort factual questions8.3%——
Price per million tokens
Input$0.15 (best)$0.72$0.197
Output$0.60$0.72$0.51 (best)
Cached input$0.075——
Blended (3:1)$0.263 (best)$0.72$0.275
Long-context rateSame rateSame rateSame rate
Price sourceOfficial OpenAI APIMedian of 5 providersMedian of 2 providers
Limits
Context window128,000 tokens128,000 tokens128,000 tokens
Max output16,384 tokens (best)4,096 tokens4,096 tokens
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsYesNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingYesYesYes
Structured outputYesNoNo
Availability
WeightsProprietaryOpenOpen
API model IDgpt-4o-mini——
API providers21 (best)52
ReleasedJul 18, 2024Jul 23, 2024Sep 25, 2024
Knowledge cutoffSep 2023Dec 2023Dec 2023
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.

  • GPT-4o mini$2.70
  • Llama-3.1-70B-Instruct$8.64
  • Llama-3.2-11B-Vision-Instruct$2.99
04 — Questions

Which should you choose?

Which is better: GPT-4o mini, Llama-3.1-70B-Instruct or Llama-3.2-11B-Vision-Instruct?

GPT-4o mini is the better all-round choice, scoring 64/100 against Llama-3.2-11B-Vision-Instruct (58) and Llama-3.1-70B-Instruct (41). It leads 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, GPT-4o mini, Llama-3.1-70B-Instruct or Llama-3.2-11B-Vision-Instruct?

GPT-4o mini is cheaper at $0.15 input / $0.60 output per million tokens (official OpenAI API price). Llama-3.2-11B-Vision-Instruct costs $0.197 input / $0.51 output per million tokens (median across 2 API providers); Llama-3.1-70B-Instruct costs $0.72 input / $0.72 output per million tokens (median across 5 API providers). At a typical mix of three input tokens to one output token, that is $0.263 per million tokens for GPT-4o mini versus $0.275 for Llama-3.2-11B-Vision-Instruct (1× as much) and $0.72 for Llama-3.1-70B-Instruct (2.7× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. GPT-4o mini has an ECI of 126.6, Llama-3.1-70B-Instruct has an ECI of 125.9 and Llama-3.2-11B-Vision-Instruct has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-4o mini, Llama-3.1-70B-Instruct and Llama-3.2-11B-Vision-Instruct yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.

Which has the bigger context window?

GPT-4o mini, Llama-3.1-70B-Instruct and Llama-3.2-11B-Vision-Instruct share the same 128,000-token context window. Maximum output per response: GPT-4o mini up to 16,384, Llama-3.1-70B-Instruct up to 4,096, Llama-3.2-11B-Vision-Instruct up to 4,096 tokens.

Which can read images, PDFs, audio or video?

GPT-4o mini accepts text, images and PDFs; Llama-3.1-70B-Instruct accepts text; Llama-3.2-11B-Vision-Instruct accepts text and images. GPT-4o mini handles the widest range of inputs.

Are any of these open source?

Llama-3.1-70B-Instruct and Llama-3.2-11B-Vision-Instruct publishes its weights and can be self-hosted; GPT-4o mini is proprietary.

Which is newer?

Llama-3.2-11B-Vision-Instruct is the newest, released Sep 25, 2024. Llama-3.1-70B-Instruct came out Jul 23, 2024; GPT-4o mini came out Jul 18, 2024. Knowledge cutoff: GPT-4o mini Sep 2023, Llama-3.1-70B-Instruct Dec 2023, Llama-3.2-11B-Vision-Instruct Dec 2023.

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