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Comparison · 2 models · Updated Oct 4, 2026

Llama 3.3 Nemotron Super 49B v1 vs Llama 3.1 Nemotron 70B Instruct

Llama 3.3 Nemotron Super 49B v1 comes out ahead, 60 to 45 on our weighted score, and it is the cheaper option too.

  1. Our pick

    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

  2. NVIDIA

    Llama 3.1 Nemotron 70B Instruct

    Released Apr 15, 2025

    45/100
    • ECI—
    • Price$0.478 / $0.504
    • Context128K
    Full specs Remove Llama 3.1 Nemotron 70B Instruct

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Llama 3.3 Nemotron Super 49B v1 is our pick

Llama 3.3 Nemotron Super 49B v1 is the better all-round choice, scoring 60/100 against Llama 3.1 Nemotron 70B Instruct (45). It leads on price and inputs & features. 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 · Llama 3.1 Nemotron 70B Instruct $0.485 per 1M tokens (3:1 blend)
  • Longest contextLlama 3.3 Nemotron Super 49B v1Llama 3.3 Nemotron Super 49B v1 131,072 · Llama 3.1 Nemotron 70B Instruct 128,000 tokens
  • Widest inputsSame inputsLlama 3.3 Nemotron Super 49B v1: Text · Llama 3.1 Nemotron 70B Instruct: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightLlama 3.3 Nemotron Super 49B v1Llama 3.1 Nemotron 70B Instruct
Price50%8965
Inputs & features30%3525
Context window20%2424
Overall100%60/10045/100

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 Llama 3.1 Nemotron 70B Instruct specifications side by side
SpecificationLlama 3.3 Nemotron Super 49B v1NVIDIALlama 3.1 Nemotron 70B InstructNVIDIA
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.15 (best)$0.478
Output$0.15 (best)$0.504
Cached input——
Blended (3:1)$0.15 (best)$0.485
Long-context rateSame rateSame rate
Price sourceMedian of 1 providersMedian of 2 providers
Limits
Context window131,072 tokens (best)128,000 tokens
Max output131,072 tokens (best)8,192 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model IDnvidia/llama-3.3-nemotron-super-49b-v1nvidia/llama-3.1-nemotron-70b-instruct
API providers23 (best)
ReleasedApr 7, 2025Apr 15, 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.

  • Llama 3.3 Nemotron Super 49B v1$1.80
  • Llama 3.1 Nemotron 70B Instruct$5.79
04 — Questions

Which should you choose?

Which is better: Llama 3.3 Nemotron Super 49B v1 or Llama 3.1 Nemotron 70B Instruct?

Llama 3.3 Nemotron Super 49B v1 is the better all-round choice, scoring 60/100 against Llama 3.1 Nemotron 70B Instruct (45). It leads on price and inputs & features. 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 Llama 3.1 Nemotron 70B Instruct?

Llama 3.3 Nemotron Super 49B v1 is cheaper at $0.15 input / $0.15 output per million tokens (median across 1 API provider; free on Nvidia). Llama 3.1 Nemotron 70B Instruct costs $0.478 input / $0.504 output per million tokens (median across 2 API providers; free on Nvidia). 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 $0.485 for Llama 3.1 Nemotron 70B Instruct (3.2× 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 Llama 3.1 Nemotron 70B Instruct 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 Llama 3.1 Nemotron 70B Instruct 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 Llama 3.1 Nemotron 70B Instruct. Maximum output per response: Llama 3.3 Nemotron Super 49B v1 up to 131,072, Llama 3.1 Nemotron 70B Instruct up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Llama 3.3 Nemotron Super 49B v1 accepts text; Llama 3.1 Nemotron 70B Instruct 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 3.1 Nemotron 70B Instruct is the newest, released Apr 15, 2025. Llama 3.3 Nemotron Super 49B v1 came out Apr 7, 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 Oct 4, 2026.

05 — Keep comparing

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