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Comparison · 2 models · Updated Oct 4, 2026

Gemma-SEA-LION-v4-27B-IT vs Llama 3.1 Nemotron 70B Instruct

Llama 3.1 Nemotron 70B Instruct comes out ahead, 45 to 39 on our weighted score, though Gemma-SEA-LION-v4-27B-IT is 17% cheaper per token.

  1. AI Singapore

    Gemma-SEA-LION-v4-27B-IT

    Released Sep 23, 2025

    39/100
    • ECI—
    • Price$0.351 / $0.555
    • Context128K
    Full specs Remove Gemma-SEA-LION-v4-27B-IT
  2. Our pick

    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 3.1 Nemotron 70B Instruct is our pick

Llama 3.1 Nemotron 70B Instruct is the better all-round choice, scoring 45/100 against Gemma-SEA-LION-v4-27B-IT (39). It leads on inputs & features. Gemma-SEA-LION-v4-27B-IT 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 priceGemma-SEA-LION-v4-27B-ITGemma-SEA-LION-v4-27B-IT $0.402 · Llama 3.1 Nemotron 70B Instruct $0.485 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameGemma-SEA-LION-v4-27B-IT 128,000 · Llama 3.1 Nemotron 70B Instruct 128,000 tokens
  • Widest inputsSame inputsGemma-SEA-LION-v4-27B-IT: 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
MeasureWeightGemma-SEA-LION-v4-27B-ITLlama 3.1 Nemotron 70B Instruct
Price50%6965
Inputs & features30%025
Context window20%2424
Overall100%39/10045/100

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.

Gemma-SEA-LION-v4-27B-IT vs Llama 3.1 Nemotron 70B Instruct specifications side by side
SpecificationGemma-SEA-LION-v4-27B-ITAI SingaporeLlama 3.1 Nemotron 70B InstructNVIDIA
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.351 (best)$0.478
Output$0.555$0.504 (best)
Cached input——
Blended (3:1)$0.402 (best)$0.485
Long-context rateSame rateSame rate
Price sourceMedian of 2 providersMedian of 2 providers
Limits
Context window128,000 tokens128,000 tokens
Max output128,000 tokens (best)8,192 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingNoYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model ID—nvidia/llama-3.1-nemotron-70b-instruct
API providers23 (best)
ReleasedSep 23, 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.

  • Gemma-SEA-LION-v4-27B-IT$4.62
  • Llama 3.1 Nemotron 70B Instruct$5.79
04 — Questions

Which should you choose?

Which is better: Gemma-SEA-LION-v4-27B-IT or Llama 3.1 Nemotron 70B Instruct?

Llama 3.1 Nemotron 70B Instruct is the better all-round choice, scoring 45/100 against Gemma-SEA-LION-v4-27B-IT (39). It leads on inputs & features. Gemma-SEA-LION-v4-27B-IT 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, Gemma-SEA-LION-v4-27B-IT or Llama 3.1 Nemotron 70B Instruct?

Gemma-SEA-LION-v4-27B-IT is cheaper at $0.351 input / $0.555 output per million tokens (median across 2 API providers). 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 $0.402 per million tokens for Gemma-SEA-LION-v4-27B-IT versus $0.485 for Llama 3.1 Nemotron 70B Instruct (1.2× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Gemma-SEA-LION-v4-27B-IT 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 Gemma-SEA-LION-v4-27B-IT 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. Note that Gemma-SEA-LION-v4-27B-IT does not support tool calling, which most coding agents need.

Which has the bigger context window?

Gemma-SEA-LION-v4-27B-IT and Llama 3.1 Nemotron 70B Instruct share the same 128,000-token context window. Maximum output per response: Gemma-SEA-LION-v4-27B-IT up to 128,000, Llama 3.1 Nemotron 70B Instruct up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Gemma-SEA-LION-v4-27B-IT 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?

Gemma-SEA-LION-v4-27B-IT is the newest, released Sep 23, 2025. Llama 3.1 Nemotron 70B Instruct came out Apr 15, 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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