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Comparison · 2 models · Updated Nov 2, 2026

Gemini 2.0 Flash-Lite vs Llama-3.2-90B-Vision-Instruct

Gemini 2.0 Flash-Lite comes out ahead, 72 to 40 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Google

    Gemini 2.0 Flash-Lite

    Released Dec 11, 2024

    72/100
    • ECI—
    • Price$0.064 / $0.255
    • Context1.05M
    Full specs Remove Gemini 2.0 Flash-Lite

  2. Meta

    Llama-3.2-90B-Vision-Instruct

    Released Sep 25, 2024

    40/100
    • ECI125.5
    • Price—
    • Context128K
    Full specs Remove Llama-3.2-90B-Vision-Instruct

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Gemini 2.0 Flash-Lite is our pick

Gemini 2.0 Flash-Lite is the better all-round choice, scoring 72/100 against Llama-3.2-90B-Vision-Instruct (40). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. 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 priceGemini 2.0 Flash-LiteGemini 2.0 Flash-Lite $0.111 per 1M tokens (3:1 blend) · Llama-3.2-90B-Vision-Instruct unpriced
  • Longest contextGemini 2.0 Flash-LiteGemini 2.0 Flash-Lite 1,048,576 · Llama-3.2-90B-Vision-Instruct 128,000 tokens
  • Widest inputsGemini 2.0 Flash-LiteGemini 2.0 Flash-Lite: Text, Images, PDFs, Audio, Video · Llama-3.2-90B-Vision-Instruct: Text, Images
  • Self-hostingLlama-3.2-90B-Vision-InstructPublishes downloadable weights (Llama 3.2 Community License)
How the score is built
MeasureWeightGemini 2.0 Flash-LiteLlama-3.2-90B-Vision-Instruct
Inputs & features60%8050
Context window40%6124
Overall100%72/10040/100

Left out because at least one model lacks the data: capability and price. 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.

Gemini 2.0 Flash-Lite vs Llama-3.2-90B-Vision-Instruct specifications side by side
SpecificationGemini 2.0 Flash-LiteGoogleLlama-3.2-90B-Vision-InstructMeta
Capability
Capabilities Index (ECI)—125.5
ECI rank—#150 of 165
GPQA DiamondGraduate-level science questions—41.0%
OTIS Mock AIME 2024–2025Competition mathematics—2.6%
Price per million tokens
Input$0.064—
Output$0.255—
Cached input——
Blended (3:1)$0.111—
Long-context rateSame rate—
Price sourceMedian of 2 providers—
Limits
Context window1,048,576 tokens (best)128,000 tokens
Max output8,192 tokens (best)4,096 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesNo
AudioYesNo
VideoYesNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsProprietaryOpenLlama 3.2 Community License
API model ID——
API providers3 (best)1
ReleasedDec 11, 2024Sep 25, 2024
Knowledge cutoffJun 2024Dec 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.

  • Gemini 2.0 Flash-Lite$1.15
  • Llama-3.2-90B-Vision-Instruct—
04 — Questions

Which should you choose?

Which is better: Gemini 2.0 Flash-Lite or Llama-3.2-90B-Vision-Instruct?

Gemini 2.0 Flash-Lite is the better all-round choice, scoring 72/100 against Llama-3.2-90B-Vision-Instruct (40). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Gemini 2.0 Flash-Lite or Llama-3.2-90B-Vision-Instruct?

Gemini 2.0 Flash-Lite is cheaper at $0.064 input / $0.255 output per million tokens (median across 2 API providers). . At a typical mix of three input tokens to one output token, that is $0.111 per million tokens for Gemini 2.0 Flash-Lite versus . Llama-3.2-90B-Vision-Instruct has no published per-token price.

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Gemini 2.0 Flash-Lite has not been scored yet and Llama-3.2-90B-Vision-Instruct has an ECI of 125.5.

Which is better for coding?

There are no published SWE-bench Verified results for Gemini 2.0 Flash-Lite and Llama-3.2-90B-Vision-Instruct 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?

Gemini 2.0 Flash-Lite has the largest context window at 1,048,576 tokens, against 128,000 for Llama-3.2-90B-Vision-Instruct. Maximum output per response: Gemini 2.0 Flash-Lite up to 8,192, Llama-3.2-90B-Vision-Instruct up to 4,096 tokens.

Which can read images, PDFs, audio or video?

Gemini 2.0 Flash-Lite accepts text, images, PDFs, audio and video; Llama-3.2-90B-Vision-Instruct accepts text and images. Gemini 2.0 Flash-Lite handles the widest range of inputs.

Are any of these open source?

Llama-3.2-90B-Vision-Instruct publishes its weights (Llama 3.2 Community License) and can be self-hosted; Gemini 2.0 Flash-Lite is proprietary.

Which is newer?

Gemini 2.0 Flash-Lite is the newest, released Dec 11, 2024. Llama-3.2-90B-Vision-Instruct came out Sep 25, 2024. Knowledge cutoff: Gemini 2.0 Flash-Lite Jun 2024, Llama-3.2-90B-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 Nov 2, 2026.

05 — Keep comparing

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