ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Nemotron Mini 4B Instruct vs Llama 3.3 Nemotron Super 49B v1

Too close to call on our weighted score (Nemotron Mini 4B Instruct 62, Llama 3.3 Nemotron Super 49B v1 60). The right pick depends on what you value most.

  1. NVIDIA

    Nemotron Mini 4B Instruct

    Released Aug 21, 2024Deprecated

    62/100
    • ECI—
    • PriceFree / Free
    • Context128K
    Full specs Remove Nemotron Mini 4B Instruct

  2. NVIDIA

    Llama 3.3 Nemotron Super 49B v1

    Released Apr 7, 2025Deprecated

    60/100
    • ECI—
    • Price$0.15 / $0.15
    • Context131K
    Full specs Remove Llama 3.3 Nemotron Super 49B v1

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Nemotron Mini 4B Instruct 62/100, Llama 3.3 Nemotron Super 49B v1 60/100), so choose by what matters most for your work: Nemotron Mini 4B Instruct on price and Llama 3.3 Nemotron Super 49B v1 for long inputs. 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 priceNemotron Mini 4B InstructNemotron Mini 4B Instruct Free · Llama 3.3 Nemotron Super 49B v1 $0.15 per 1M tokens (3:1 blend)
  • Longest contextLlama 3.3 Nemotron Super 49B v1Llama 3.3 Nemotron Super 49B v1 131,072 · Nemotron Mini 4B Instruct 128,000 tokens
  • Widest inputsSame inputsNemotron Mini 4B Instruct: Text · Llama 3.3 Nemotron Super 49B v1: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightNemotron Mini 4B InstructLlama 3.3 Nemotron Super 49B v1
Price50%10089
Inputs & features30%2535
Context window20%2424
Overall100%62/10060/100

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.

Nemotron Mini 4B Instruct vs Llama 3.3 Nemotron Super 49B v1 specifications side by side
SpecificationNemotron Mini 4B InstructNVIDIALlama 3.3 Nemotron Super 49B v1NVIDIA
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
InputFree (best)$0.15
OutputFree (best)$0.15
Cached input——
Blended (3:1)Free (best)$0.15
Long-context rateSame rateSame rate
Price sourceOfficial Nvidia APIMedian of 1 providers
Limits
Context window128,000 tokens131,072 tokens (best)
Max output8,192 tokens131,072 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model IDnvidia/nemotron-mini-4b-instructnvidia/llama-3.3-nemotron-super-49b-v1
API providers12 (best)
ReleasedAug 21, 2024Apr 7, 2025
Knowledge cutoff——
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.

  • Nemotron Mini 4B InstructFree
  • Llama 3.3 Nemotron Super 49B v1$1.80
04 — Questions

Which should you choose?

Which is better: Nemotron Mini 4B Instruct or Llama 3.3 Nemotron Super 49B v1?

It is close. Our weighted score puts them within 2 points (Nemotron Mini 4B Instruct 62/100, Llama 3.3 Nemotron Super 49B v1 60/100), so choose by what matters most for your work: Nemotron Mini 4B Instruct on price and Llama 3.3 Nemotron Super 49B v1 for long inputs. 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, Nemotron Mini 4B Instruct or Llama 3.3 Nemotron Super 49B v1?

Nemotron Mini 4B Instruct is cheaper at Free input / Free output per million tokens (official Nvidia API price). Llama 3.3 Nemotron Super 49B v1 costs $0.15 input / $0.15 output per million tokens (median across 1 API provider; free on Nvidia). Nemotron Mini 4B Instruct is listed as free.

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Nemotron Mini 4B Instruct has not been scored yet and Llama 3.3 Nemotron Super 49B v1 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Nemotron Mini 4B Instruct and Llama 3.3 Nemotron Super 49B v1 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?

Llama 3.3 Nemotron Super 49B v1 has the largest context window at 131,072 tokens, against 128,000 for Nemotron Mini 4B Instruct. Maximum output per response: Nemotron Mini 4B Instruct up to 8,192, Llama 3.3 Nemotron Super 49B v1 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Nemotron Mini 4B Instruct accepts text; Llama 3.3 Nemotron Super 49B v1 accepts text. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights, so you can self-host them.

Which is newer?

Llama 3.3 Nemotron Super 49B v1 is the newest, released Apr 7, 2025. Nemotron Mini 4B Instruct came out Aug 21, 2024.

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 Oct 4, 2026.

05 — Keep comparing

Related comparisons