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Head to head

Gemma 4 31B vs Nemotron 3.5 Super VL.

Verdict by category, tale of the tape, shared benchmarks only, and cost at three workloads — all from the tracked data.

Google DeepMind
VS

Verdict by category

CategoryGemma 4 31BNemotron 3.5 Super VLWinner
League Score13.424.5Nemotron 3.5 Super VL
Coding (SWE-bench %)———
Reasoning (GPQA %)84.3——
Context (tokens)2621441000000Nemotron 3.5 Super VL
Speed (tok/s)———

Tale of the tape

SpecGemma 4 31BNemotron 3.5 Super VL
MakerGoogle DeepMindNVIDIA
ReleasedApr 2, 2026Oct 15, 2026
League Score1324
Context262,144 tokens1,000,000 tokens
Max output——
$/1M input——
$/1M output——
WeightsOpenOpen
Speed——

Head-to-head benchmarks (shared only)

BenchmarkGemma 4 31BNemotron 3.5 Super VL
LiveBench overall38.750.2

Cost at three workloads

WorkloadGemma 4 31BNemotron 3.5 Super VL
Light — 1M in / 250K out——
Standard — 10M in / 2.5M out——
Long-context — 50M in / 5M out——

The pick

Pick Nemotron 3.5 Super VL if you want the higher overall League Score; you need the bigger context window.

All figures from the model database — sources and dates on each model page. Cost your own workload or compare a different pair.

Frequently asked questions

Which is better overall, Gemma 4 31B or Nemotron 3.5 Super VL?

Nemotron 3.5 Super VL leads on overall League Score, 24 to 13 — a gap of 11 points on a composite of sourced benchmarks. That is overall form, not every category: check the per-category verdicts before choosing.

Which has the bigger context window, Gemma 4 31B or Nemotron 3.5 Super VL?

Nemotron 3.5 Super VL, with 1M of context against 262.1K for Gemma 4 31B.

Are Gemma 4 31B and Nemotron 3.5 Super VL open source?

Gemma 4 31B is open weights — it can be downloaded and self-hosted; Nemotron 3.5 Super VL is open weights — it can be downloaded and self-hosted.