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Comparison · 2 models · Updated Nov 2, 2026

Llama 3.3 Nemotron Super 49B v1 vs Saba

Llama 3.3 Nemotron Super 49B v1 comes out ahead, 58 to 46 on our weighted score, and it is the cheaper option too.

  1. Our pick

    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. Mistral AI

    Saba

    Released Feb 17, 2025

    46/100
    • ECI—
    • Price$0.20 / $0.60
    • Context33K
    Full specs Remove Saba

  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 58/100 against Saba (46). It leads on price and context window. 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 · Saba $0.30 per 1M tokens (3:1 blend)
  • Longest contextLlama 3.3 Nemotron Super 49B v1Llama 3.3 Nemotron Super 49B v1 131,072 · Saba 32,768 tokens
  • Widest inputsSabaLlama 3.3 Nemotron Super 49B v1: Text · Saba: Text, PDFs
  • Self-hostingLlama 3.3 Nemotron Super 49B v1Publishes downloadable weights
How the score is built
MeasureWeightLlama 3.3 Nemotron Super 49B v1Saba
Price50%8572
Inputs & features30%3535
Context window20%250
Overall100%58/10046/100

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 Saba specifications side by side
SpecificationLlama 3.3 Nemotron Super 49B v1NVIDIASabaMistral AI
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.15 (best)$0.20
Output$0.15 (best)$0.60
Cached input——
Blended (3:1)$0.15 (best)$0.30
Long-context rateSame rateSame rate
Price sourceMedian of 1 providersMedian of 4 providers
Limits
Context window131,072 tokens (best)32,768 tokens
Max output131,072 tokens (best)26,214 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoYes
AudioNoNo
VideoNoNo
ReasoningYesNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenProprietary
API model ID——
API providers14 (best)
ReleasedMar 18, 2025Feb 17, 2025
Knowledge cutoff—Sep 30, 2024
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
  • Saba$3.20
04 — Questions

Which should you choose?

Which is better: Llama 3.3 Nemotron Super 49B v1 or Saba?

Llama 3.3 Nemotron Super 49B v1 is the better all-round choice, scoring 58/100 against Saba (46). It leads on price and context window. 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 Saba?

Llama 3.3 Nemotron Super 49B v1 is cheaper at $0.15 input / $0.15 output per million tokens (median across 1 API provider). Saba costs $0.20 input / $0.60 output per million tokens (median across 4 API providers). 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 $0.30 for Saba (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 Saba 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 Saba 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 32,768 for Saba. Maximum output per response: Llama 3.3 Nemotron Super 49B v1 up to 131,072, Saba up to 26,214 tokens.

Which can read images, PDFs, audio or video?

Llama 3.3 Nemotron Super 49B v1 accepts text; Saba accepts text and PDFs. Saba 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; Saba is proprietary.

Which is newer?

Llama 3.3 Nemotron Super 49B v1 is the newest, released Mar 18, 2025. Saba came out Feb 17, 2025. Knowledge cutoff: Saba Sep 30, 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 Nov 2, 2026.

05 — Keep comparing

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