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Comparison · 2 models · Updated Oct 4, 2026

Nemotron VoiceChat vs Llama 3.1 Nemotron Ultra 253B

Too close to call on our weighted score (Nemotron VoiceChat 65, Llama 3.1 Nemotron Ultra 253B 65). The right pick depends on what you value most.

  1. NVIDIA

    Nemotron VoiceChat

    Released Mar 16, 2026

    65/100
    • ECI—
    • PriceFree / Free
    • Context128K
  2. NVIDIA

    Llama 3.1 Nemotron Ultra 253B

    Released Apr 7, 2025

    65/100
    • ECI—
    • PriceFree / Free
    • Context128K
  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 a point (Nemotron VoiceChat 65/100, Llama 3.1 Nemotron Ultra 253B 65/100), so choose by what matters most for your work: Nemotron VoiceChat 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 priceSame priceNemotron VoiceChat Free · Llama 3.1 Nemotron Ultra 253B Free per 1M tokens (3:1 blend)
  • Longest contextAbout the sameNemotron VoiceChat 128,000 · Llama 3.1 Nemotron Ultra 253B 128,000 tokens
  • Widest inputsNemotron VoiceChatNemotron VoiceChat: Text, Audio · Llama 3.1 Nemotron Ultra 253B: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightNemotron VoiceChatLlama 3.1 Nemotron Ultra 253B
Price50%100100
Inputs & features30%3535
Context window20%2424
Overall100%65/10065/100

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 VoiceChat vs Llama 3.1 Nemotron Ultra 253B specifications side by side
SpecificationNemotron VoiceChatNVIDIALlama 3.1 Nemotron Ultra 253BNVIDIA
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
InputFreeFree
OutputFreeFree
Cached input——
Blended (3:1)FreeFree
Long-context rateSame rateSame rate
Price sourceOfficial Nvidia APIOfficial Nvidia API
Limits
Context window128,000 tokens128,000 tokens
Max output8,192 tokens8,192 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioYesNo
VideoNoNo
ReasoningNoYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model IDnvidia/nemotron-voicechatnvidia/llama-3.1-nemotron-ultra-253b-v1
API providers11
ReleasedMar 16, 2026Apr 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 VoiceChatFree
  • Llama 3.1 Nemotron Ultra 253BFree
04 — Questions

Which should you choose?

Which is better: Nemotron VoiceChat or Llama 3.1 Nemotron Ultra 253B?

It is close. Our weighted score puts them within a point (Nemotron VoiceChat 65/100, Llama 3.1 Nemotron Ultra 253B 65/100), so choose by what matters most for your work: Nemotron VoiceChat 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, Nemotron VoiceChat or Llama 3.1 Nemotron Ultra 253B?

Nemotron VoiceChat and Llama 3.1 Nemotron Ultra 253B cost the same: Free input / Free output per million tokens.

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Nemotron VoiceChat has not been scored yet and Llama 3.1 Nemotron Ultra 253B has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Nemotron VoiceChat and Llama 3.1 Nemotron Ultra 253B 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?

Nemotron VoiceChat and Llama 3.1 Nemotron Ultra 253B share the same 128,000-token context window. Maximum output per response: Nemotron VoiceChat up to 8,192, Llama 3.1 Nemotron Ultra 253B up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Nemotron VoiceChat accepts text and audio; Llama 3.1 Nemotron Ultra 253B accepts text. Nemotron VoiceChat handles the widest range of inputs.

Are any of these open source?

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

Which is newer?

Nemotron VoiceChat is the newest, released Mar 16, 2026. Llama 3.1 Nemotron Ultra 253B 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.