Gemma 4 31B vs NVIDIA Nemotron 3 Super 120B A12B Base BF16

At a Glance

Compare
Gemma 4 31BGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.090Openrouter · Sep 22, 2026Not reported
Output priceFrom · USD / 1M tokens$0.34Openrouter · Sep 22, 2026Not reported
Context windowMaximum documented tokens262K1,049K
Model facts checkedSep 3, 2026View model evidence →Aug 28, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldGemma 4 31BNVIDIA-Nemotron-3-Super-120B-A12B-Base-BF16
DeveloperGoogle DeepMindNVIDIA
FamilyGemma 4Nvidia Nemotron 3 Super 120b A12b Base Bf16
ModelGemma 4 31BNVIDIA-Nemotron-3-Super-120B-A12B-Base-BF16
VersionGemma 4 31BNVIDIA-Nemotron-3-Super-120B-A12B-Base-BF16
Lifecycleactiveactive
Released2026-03-112026-03-04
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window262K1,049K
Total parameters31B123.6B
Active parametersUnknown12B
Licenseapache-2.0other
Open weightsYesYes
API availableYesUnknown
Self-hostableYesYes
Provider accessCerebras (Standard), Deepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), Together Ai (Standard)Unknown
Capabilitieschat, generation, reasoning, structured_outputs, toolsgeneration

Gemma 4 31B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers5
Canonical IDgoogle/gemma-4-31B-it

NVIDIA Nemotron 3 Super 120B A12B Base BF16 Capabilities

generation
Serving providers0
Canonical IDnvidia/NVIDIA-Nemotron-3-Super-120B-A12B-Base-BF16

Primary Evidence

Sources and Freshness

Questions

Gemma 4 31B vs NVIDIA Nemotron 3 Super 120B A12B Base BF16 FAQs

Is Gemma 4 31B or NVIDIA Nemotron 3 Super 120B A12B Base BF16 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 31B and NVIDIA Nemotron 3 Super 120B A12B Base BF16, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemma 4 31B or NVIDIA Nemotron 3 Super 120B A12B Base BF16?+

Only Gemma 4 31B has a directly sourced input price: $0.090 per million tokens. Only Gemma 4 31B has a directly sourced output price: $0.34 per million tokens.

Which has a larger context window, Gemma 4 31B or NVIDIA Nemotron 3 Super 120B A12B Base BF16?+

NVIDIA Nemotron 3 Super 120B A12B Base BF16 has the larger sourced context window. Gemma 4 31B supports 262K and NVIDIA Nemotron 3 Super 120B A12B Base BF16 supports 1,049K.

Which performs better in benchmarks, Gemma 4 31B or NVIDIA Nemotron 3 Super 120B A12B Base BF16?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Gemma 4 31B or NVIDIA Nemotron 3 Super 120B A12B Base BF16 be self-hosted?+

Both models have the same recorded self-hosting status: supported. Gemma 4 31B is open weight; NVIDIA Nemotron 3 Super 120B A12B Base BF16 is open weight.

Can Gemma 4 31B and NVIDIA Nemotron 3 Super 120B A12B Base BF16 understand images?+

Gemma 4 31B is documented with image input; NVIDIA Nemotron 3 Super 120B A12B Base BF16 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemma 4 31B or NVIDIA Nemotron 3 Super 120B A12B Base BF16?+

Neither has a larger sourced maximum output. Gemma 4 31B is — and NVIDIA Nemotron 3 Super 120B A12B Base BF16 is —.

Do Gemma 4 31B and NVIDIA Nemotron 3 Super 120B A12B Base BF16 support reasoning and tool use?+

Gemma 4 31B: reasoning, tool calling, and image input. NVIDIA Nemotron 3 Super 120B A12B Base BF16: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Gemma 4 31B or NVIDIA Nemotron 3 Super 120B A12B Base BF16?+

Gemma 4 31B has 5 sourced provider routes; NVIDIA Nemotron 3 Super 120B A12B Base BF16 has 0, so Gemma 4 31B has broader tracked availability.

Which offers better value, Gemma 4 31B or NVIDIA Nemotron 3 Super 120B A12B Base BF16?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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