API cost decision in 10 seconds

🔥Nemotron 3 Super (free) vs 🔥Gemma 4 31B

Pick Nemotron 3 Super (free) when budget and context both matter.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Nemotron 3 Super (free) when budget and context both matter.

On the standard 1M input plus 500K output workload, Nemotron 3 Super (free) is estimated at $0 vs $0.3 for Gemma 4 31B, saving $0.3 (100% lower).

Cost-first pickNemotron 3 Super (free)
Context-first pickNemotron 3 Super (free)
Sample savings$0.3100%
10x traffic gap$3.05

Nemotron 3 Super (free) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $3.05. Use the calculator below to replace the sample workload with your own token volume.

Cheaper input Nemotron 3 Super (free) $0 vs $0.12 / 1M

Nemotron 3 Super (free) is free for input tokens while Gemma 4 31B costs $0.12 per 1M tokens.

Cheaper output Nemotron 3 Super (free) $0 vs $0.37 / 1M

Nemotron 3 Super (free) is free for output tokens while Gemma 4 31B costs $0.37 per 1M tokens.

Larger context Nemotron 3 Super (free) 1M vs 262.14K

Nemotron 3 Super (free) has 737.86K more context (3.81x larger).

Sample workload Nemotron 3 Super (free) $0 vs $0.3

Nemotron 3 Super (free) is free for the standard workload while the other model is estimated at $0.3.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Nemotron 3 Super (free) Calculating… Estimated API cost
Gemma 4 31B Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Nemotron 3 Super (free) has the lower input price; Nemotron 3 Super (free) has the lower output price; Nemotron 3 Super (free) offers the larger context window. For the 1M input plus 500K output sample, Nemotron 3 Super (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Nemotron 3 Super (free) and $0.3 for Gemma 4 31B.

Best Fit

Choose Nemotron 3 Super (free) when you care most about lower input-token price, lower output-token price, and larger context window.

Choose Gemma 4 31B when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, Nemotron 3 Super (free) is estimated at $0 vs $0.3 for Gemma 4 31B, saving $0.3 (100% lower).
  • Nemotron 3 Super (free) is free for the standard workload while the other model is estimated at $0.3.
  • Nemotron 3 Super (free) is free for input tokens while Gemma 4 31B costs $0.12 per 1M tokens.
  • Nemotron 3 Super (free) is free for output tokens while Gemma 4 31B costs $0.37 per 1M tokens.
  • Nemotron 3 Super (free) has 737.86K more context (3.81x larger).
Head-to-Head Specs
Feature🔥Nemotron 3 Super (free)
(NVIDIA)
🔥Gemma 4 31B
(Google)
Input Price
prompt tokens per 1M
$0$0.12
Completion Price
per 1M tokens
$0$0.37
Sample Workload Cost
1M input + 500K output
$0$0.3
Context Window1M262.14K
Release Date
Popularity Rank
current rank
#11#18

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionNemotron 3 Super (free)On the standard 1M input plus 500K output workload, Nemotron 3 Super (free) is estimated at $0 vs $0.3 for Gemma 4 31B, saving $0.3 (100% lower).
High-volume input processingNemotron 3 Super (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsNemotron 3 Super (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workNemotron 3 Super (free)A larger context window leaves more room for retrieved passages, conversation history, or source files.

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Larger context alternatives

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

NVIDIA catalog

Review all tracked NVIDIA models before deciding whether this matchup is the right shortlist.

Open NVIDIA models

Google catalog

Check other Google models with comparable pricing, context, or release timing.

Open Google models
Nemotron 3 Super (free)

NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer...

Gemma 4 31B

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...