ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Gemini 2.5 Flash-Lite vs Llama 3.3 Nemotron Super 49B v1 vs Voxtral Small 24B 2507

Gemini 2.5 Flash-Lite comes out ahead, 83 to 58 and 55 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

    Voxtral Small 24B 2507

    Released Jul 15, 2025

    55/100
    • ECI—
    • Price$0.10 / $0.40
    • Context33K
    Full specs Remove Voxtral Small 24B 2507
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 Llama 3.3 Nemotron Super 49B v1 (58) and Voxtral Small 24B 2507 (55). It leads on inputs & features and context window. Llama 3.3 Nemotron Super 49B v1 wins on price. 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 · Gemini 2.5 Flash-Lite $0.175 · Voxtral Small 24B 2507 $0.175 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · Llama 3.3 Nemotron Super 49B v1 131,072 · Voxtral Small 24B 2507 32,768 tokens
  • Widest inputsGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video · Llama 3.3 Nemotron Super 49B v1: Text · Voxtral Small 24B 2507: Text, Audio
  • Self-hostingLlama 3.3 Nemotron Super 49B v1 and Voxtral Small 24B 2507Publishes downloadable weights (Apache 2.0)
How the score is built
MeasureWeightGemini 2.5 Flash-LiteLlama 3.3 Nemotron Super 49B v1Voxtral Small 24B 2507
Price50%828582
Inputs & features30%1003545
Context window20%61250
Overall100%83/10058/10055/100

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 Voxtral Small 24B 2507 specifications side by side
SpecificationGemini 2.5 Flash-LiteGoogleLlama 3.3 Nemotron Super 49B v1NVIDIAVoxtral Small 24B 2507Mistral 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)$0.40
Cached input$0.01——
Blended (3:1)$0.175$0.15 (best)$0.175
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Google APIMedian of 1 providersOfficial Mistral API
Limits
Context window1,048,576 tokens (best)131,072 tokens32,768 tokens
Max output65,536 tokens131,072 tokens (best)32,768 tokens
Inputs and features
TextYesYesYes
ImagesYesNoNo
PDFsYesNoNo
AudioYesNoYes
VideoYesNoNo
ReasoningYesYesNo
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsProprietaryOpenOpenApache 2.0
API model IDgemini-2.5-flash-lite—voxtral-small-latest
API providers24 (best)110
ReleasedJun 17, 2025Mar 18, 2025Jul 15, 2025
Knowledge cutoffJan 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.

  • Gemini 2.5 Flash-Lite$1.80
  • Llama 3.3 Nemotron Super 49B v1$1.80
  • Voxtral Small 24B 2507$1.80
04 — Questions

Which should you choose?

Which is better: Gemini 2.5 Flash-Lite, Llama 3.3 Nemotron Super 49B v1 or Voxtral Small 24B 2507?

Gemini 2.5 Flash-Lite is the better all-round choice, scoring 83/100 against Llama 3.3 Nemotron Super 49B v1 (58) and Voxtral Small 24B 2507 (55). It leads on inputs & features and context window. Llama 3.3 Nemotron Super 49B v1 wins on price. 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 Voxtral Small 24B 2507?

Llama 3.3 Nemotron Super 49B v1 is cheaper at $0.15 input / $0.15 output per million tokens (median across 1 API provider). Gemini 2.5 Flash-Lite costs $0.10 input / $0.40 output per million tokens (official Google API price); Voxtral Small 24B 2507 costs $0.10 input / $0.40 output per million tokens (official Mistral 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 $0.175 for Gemini 2.5 Flash-Lite (1.2× as much) and $0.175 for Voxtral Small 24B 2507 (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 Voxtral Small 24B 2507 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 Voxtral Small 24B 2507 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 131,072 for Llama 3.3 Nemotron Super 49B v1 and 32,768 for Voxtral Small 24B 2507. Maximum output per response: Gemini 2.5 Flash-Lite up to 65,536, Llama 3.3 Nemotron Super 49B v1 up to 131,072, Voxtral Small 24B 2507 up to 32,768 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; Voxtral Small 24B 2507 accepts text and audio. 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 Voxtral Small 24B 2507 publishes its weights (Apache 2.0) and can be self-hosted; Gemini 2.5 Flash-Lite is proprietary.

Which is newer?

Voxtral Small 24B 2507 is the newest, released Jul 15, 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.

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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