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Comparison · 2 models · Updated Nov 2, 2026

Llama 3.3 Nemotron Super 49B v1 vs Gemini 2.5 Flash-Lite

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

  1. 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
  2. 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

  3. Add a model

    Make it a three-way comparison.

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). 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 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 tokens
  • Widest inputsGemini 2.5 Flash-LiteLlama 3.3 Nemotron Super 49B v1: Text · Gemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video
  • Self-hostingLlama 3.3 Nemotron Super 49B v1Publishes downloadable weights
How the score is built
MeasureWeightLlama 3.3 Nemotron Super 49B v1Gemini 2.5 Flash-Lite
Price50%8582
Inputs & features30%35100
Context window20%2561
Overall100%58/10083/100

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.

Llama 3.3 Nemotron Super 49B v1 vs Gemini 2.5 Flash-Lite specifications side by side
SpecificationLlama 3.3 Nemotron Super 49B v1NVIDIAGemini 2.5 Flash-LiteGoogle
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.15$0.10 (best)
Output$0.15 (best)$0.40
Cached input—$0.01
Blended (3:1)$0.15 (best)$0.175
Long-context rateSame rateSame rate
Price sourceMedian of 1 providersOfficial Google API
Limits
Context window131,072 tokens1,048,576 tokens (best)
Max output131,072 tokens (best)65,536 tokens
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoYes
AudioNoYes
VideoNoYes
ReasoningYesYes
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenProprietary
API model ID—gemini-2.5-flash-lite
API providers124 (best)
ReleasedMar 18, 2025Jun 17, 2025
Knowledge cutoff—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.

  • 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: 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 Llama 3.3 Nemotron Super 49B v1 (58). 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, 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). 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 $0.175 for Gemini 2.5 Flash-Lite (1.2× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models 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 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. Both 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. Maximum output per response: 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?

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?

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?

Gemini 2.5 Flash-Lite is the newest, released 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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