ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Gemini 2.5 Flash-Lite vs Llama 3.3 Nemotron Super 49B v1 vs Mistral Small 3.2 24B

Gemini 2.5 Flash-Lite comes out ahead, 83 to 65 and 58 on our weighted score, though Llama 3.3 Nemotron Super 49B v1 is 14% cheaper per token.

  1. Our pick

    Google

    Gemini 2.5 Flash-Lite

    Released Jun 17, 2025

    83/100
    • ECI—
    • Price$0.10 / $0.40
    • Context1.05M
    Full specs Remove Gemini 2.5 Flash-Lite

  2. NVIDIA

    Llama 3.3 Nemotron Super 49B v1

    Released Mar 18, 2025

    58/100
    • ECI—
    • Price$0.15 / $0.15
    • Context131K
    Full specs Remove Llama 3.3 Nemotron Super 49B v1

  3. Mistral AI

    Mistral Small 3.2 24B

    Released Jun 20, 2025

    65/100
    • ECI—
    • Price$0.10 / $0.305
    • Context256K
    Full specs Remove Mistral Small 3.2 24B
01 — Verdict

Gemini 2.5 Flash-Lite is our pick

Gemini 2.5 Flash-Lite is the better all-round choice, scoring 83/100 against Mistral Small 3.2 24B (65) and Llama 3.3 Nemotron Super 49B v1 (58). It leads on inputs & features and context window. 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 3.3 Nemotron Super 49B v1Llama 3.3 Nemotron Super 49B v1 $0.15 · Mistral Small 3.2 24B $0.151 · Gemini 2.5 Flash-Lite $0.175 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · Mistral Small 3.2 24B 256,000 · Llama 3.3 Nemotron Super 49B v1 131,072 tokens
  • Widest inputsGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video · Llama 3.3 Nemotron Super 49B v1: Text · Mistral Small 3.2 24B: Text, Images
  • Self-hostingLlama 3.3 Nemotron Super 49B v1 and Mistral Small 3.2 24BPublishes downloadable weights
How the score is built
MeasureWeightGemini 2.5 Flash-LiteLlama 3.3 Nemotron Super 49B v1Mistral Small 3.2 24B
Price50%828585
Inputs & features30%1003550
Context window20%612536
Overall100%83/10058/10065/100

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.

Gemini 2.5 Flash-Lite vs Llama 3.3 Nemotron Super 49B v1 vs Mistral Small 3.2 24B specifications side by side
SpecificationGemini 2.5 Flash-LiteGoogleLlama 3.3 Nemotron Super 49B v1NVIDIAMistral Small 3.2 24BMistral AI
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.10 (best)$0.15$0.10 (best)
Output$0.40$0.15 (best)$0.305
Cached input$0.01——
Blended (3:1)$0.175$0.15 (best)$0.151
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Google APIMedian of 1 providersMedian of 8 providers
Limits
Context window1,048,576 tokens (best)131,072 tokens256,000 tokens
Max output65,536 tokens131,072 tokens (best)16,384 tokens
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsYesNoNo
AudioYesNoNo
VideoYesNoNo
ReasoningYesYesNo
Tool callingYesYesYes
Structured outputYesNoNo
Availability
WeightsProprietaryOpenOpen
API model IDgemini-2.5-flash-lite——
API providers24 (best)18
ReleasedJun 17, 2025Mar 18, 2025Jun 20, 2025
Knowledge cutoffJan 2025—Oct 31, 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 2.5 Flash-Lite$1.80
  • Llama 3.3 Nemotron Super 49B v1$1.80
  • Mistral Small 3.2 24B$1.61
04 — Questions

Which should you choose?

Which is better: Gemini 2.5 Flash-Lite, Llama 3.3 Nemotron Super 49B v1 or Mistral Small 3.2 24B?

Gemini 2.5 Flash-Lite is the better all-round choice, scoring 83/100 against Mistral Small 3.2 24B (65) and Llama 3.3 Nemotron Super 49B v1 (58). It leads on inputs & features and context window. 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, Gemini 2.5 Flash-Lite, Llama 3.3 Nemotron Super 49B v1 or Mistral Small 3.2 24B?

Llama 3.3 Nemotron Super 49B v1 is cheaper at $0.15 input / $0.15 output per million tokens (median across 1 API provider). Mistral Small 3.2 24B costs $0.10 input / $0.305 output per million tokens (median across 8 API providers); Gemini 2.5 Flash-Lite costs $0.10 input / $0.40 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Llama 3.3 Nemotron Super 49B v1 versus $0.151 for Mistral Small 3.2 24B (1× as much) and $0.175 for Gemini 2.5 Flash-Lite (1.2× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Gemini 2.5 Flash-Lite has not been scored yet, Llama 3.3 Nemotron Super 49B v1 has not been scored yet and Mistral Small 3.2 24B has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Gemini 2.5 Flash-Lite, Llama 3.3 Nemotron Super 49B v1 and Mistral Small 3.2 24B 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?

Gemini 2.5 Flash-Lite has the largest context window at 1,048,576 tokens, against 256,000 for Mistral Small 3.2 24B and 131,072 for Llama 3.3 Nemotron Super 49B v1. Maximum output per response: Gemini 2.5 Flash-Lite up to 65,536, Llama 3.3 Nemotron Super 49B v1 up to 131,072, Mistral Small 3.2 24B up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Gemini 2.5 Flash-Lite accepts text, images, PDFs, audio and video; Llama 3.3 Nemotron Super 49B v1 accepts text; Mistral Small 3.2 24B accepts text and images. Gemini 2.5 Flash-Lite handles the widest range of inputs.

Are any of these open source?

Llama 3.3 Nemotron Super 49B v1 and Mistral Small 3.2 24B publishes its weights and can be self-hosted; Gemini 2.5 Flash-Lite is proprietary.

Which is newer?

Mistral Small 3.2 24B is the newest, released Jun 20, 2025. Gemini 2.5 Flash-Lite came out Jun 17, 2025; Llama 3.3 Nemotron Super 49B v1 came out Mar 18, 2025. Knowledge cutoff: Gemini 2.5 Flash-Lite Jan 2025, Mistral Small 3.2 24B Oct 31, 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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