ZMIME
Comparison · 3 models · Updated Nov 2, 2026

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

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. 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

  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. 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
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-LiteMistral Small 3.2 24B: Text, Images · Llama 3.3 Nemotron Super 49B v1: Text · Gemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video
  • Self-hostingMistral Small 3.2 24B and Llama 3.3 Nemotron Super 49B v1Publishes downloadable weights
How the score is built
MeasureWeightMistral Small 3.2 24BLlama 3.3 Nemotron Super 49B v1Gemini 2.5 Flash-Lite
Price50%858582
Inputs & features30%5035100
Context window20%362561
Overall100%65/10058/10083/100

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.

Mistral Small 3.2 24B vs Llama 3.3 Nemotron Super 49B v1 vs Gemini 2.5 Flash-Lite specifications side by side
SpecificationMistral Small 3.2 24BMistral AILlama 3.3 Nemotron Super 49B v1NVIDIAGemini 2.5 Flash-LiteGoogle
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.10 (best)$0.15$0.10 (best)
Output$0.305$0.15 (best)$0.40
Cached input——$0.01
Blended (3:1)$0.151$0.15 (best)$0.175
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 8 providersMedian of 1 providersOfficial Google API
Limits
Context window256,000 tokens131,072 tokens1,048,576 tokens (best)
Max output16,384 tokens131,072 tokens (best)65,536 tokens
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsNoNoYes
AudioNoNoYes
VideoNoNoYes
ReasoningNoYesYes
Tool callingYesYesYes
Structured outputNoNoYes
Availability
WeightsOpenOpenProprietary
API model ID——gemini-2.5-flash-lite
API providers8124 (best)
ReleasedJun 20, 2025Mar 18, 2025Jun 17, 2025
Knowledge cutoffOct 31, 2023—Jan 2025
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.

  • Mistral Small 3.2 24B$1.61
  • Llama 3.3 Nemotron Super 49B v1$1.80
  • Gemini 2.5 Flash-Lite$1.80
04 — Questions

Which should you choose?

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

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

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. Mistral Small 3.2 24B has not been scored yet, Llama 3.3 Nemotron Super 49B v1 has not been scored yet and Gemini 2.5 Flash-Lite has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Small 3.2 24B, Llama 3.3 Nemotron Super 49B v1 and Gemini 2.5 Flash-Lite 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: Mistral Small 3.2 24B up to 16,384, Llama 3.3 Nemotron Super 49B v1 up to 131,072, Gemini 2.5 Flash-Lite up to 65,536 tokens.

Which can read images, PDFs, audio or video?

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

Are any of these open source?

Mistral Small 3.2 24B and Llama 3.3 Nemotron Super 49B v1 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: Mistral Small 3.2 24B Oct 31, 2023, Gemini 2.5 Flash-Lite Jan 2025.

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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