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Gemma 4 31B (free) vs Nemotron Nano 9B V2 (free)

Signal-by-Signal Comparison
SignalGemma 4 31B (free)DeltaNemotron Nano 9B V2 (free)
Capabilities
83
+17
67
Benchmarks
86
+86
0
Pricing
100
--
100
Context window size
86
+5
81
Recency
100
+29
72
Output Capacity
75
+55
20
Overall Result
5 wins
of 6
0 wins
Gemma 4 31B (free) wins 5 of 6 signals

Score History

Score History (25 data points)
Gemma 4 31B (free)Nemotron Nano 9B V2 (free)
Gemma 4 31B (free)

80.5

current score

Leader

Gemma 4 31B (free)

right now

Nemotron Nano 9B V2 (free)

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Gemma 4 31B (free)

Google

Per request$0.000000
Daily$0.00
Monthly$0.00
Annual$0.00

Nemotron Nano 9B V2 (free)

NVIDIA

Per request$0.000000
Daily$0.00
Monthly$0.00
Annual$0.00
Gemma 4 31B (free) pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Nemotron Nano 9B V2 (free) pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Winner
Gemma 4 31B (free)

Google

81

Composite Score

Nemotron Nano 9B V2 (free)

NVIDIA

40

Composite Score

Signal-by-Signal Comparison
MetricGemma 4 31B (free)Nemotron Nano 9B V2 (free)Winner
Overall Score
81
40
Gemma 4 31B (free)
Rank#84#320
Gemma 4 31B (free)
Quality Rank#84#320
Gemma 4 31B (free)
Adoption Rank#84#320
Gemma 4 31B (free)
Parameters31B9B--
Context Window262K128K
Gemma 4 31B (free)
PricingFreeFree--
Signal Scores
Capabilities
83
67
Gemma 4 31B (free)
Benchmarks
86
--
Gemma 4 31B (free)
Pricing
100
100
Gemma 4 31B (free)
Context window size
86
81
Gemma 4 31B (free)
Recency
100
72
Gemma 4 31B (free)
Output Capacity
75
20
Gemma 4 31B (free)
Benchmark Head-to-Head(7 benchmarks)
Gemma 4: 0Nemotron Nano: 0
Gemma 4
Nemotron Nano
Normalized 0-100%
MMLU-Pro
85.2%-
GPQA Diamond
84.3%-
AIME 2024
89.2%-
BBH
74.4%-
Arena Elo
1451-
LiveBench
80%-
HLE
19.5%-
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Gemma 4 31B (free)Strong Performer

Scores 81/100 (rank #84), placing it in the top 71% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Nemotron Nano 9B V2 (free)Entry Level

Scores 40/100 (rank #320), placing it in the top -10% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Gemma 4 31B (free) has a 41-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Gemma 4 31B (free) when you need:

  • Processing long documents or large codebases (262K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose Nemotron Nano 9B V2 (free) when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Gemma 4 31B (free)
Input cost$0.00/M tokens
Output cost$0.00/M tokens
Cost per quality point$0.000
Est. monthly (1M tokens/day)$0.00
Nemotron Nano 9B V2 (free)
Input cost$0.00/M tokens
Output cost$0.00/M tokens
Cost per quality point$0.000
Est. monthly (1M tokens/day)$0.00

Both models are priced similarly, so the decision comes down to quality and features rather than cost.

Latency & Speed
Gemma 4 31B (free)Faster
Speed score0/100
Nemotron Nano 9B V2 (free)
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Gemma 4 31B (free)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Gemma 4 31B (free) also offers lower per-token costs for high-volume support

Gemma 4 31B (free)

Long document analysis

Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass

Gemma 4 31B (free)

Batch data extraction

Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily

Gemma 4 31B (free)

Creative writing & content

Higher overall composite score (81/100) correlates with better nuance, coherence, and style in long-form content

Gemma 4 31B (free)

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Gemma 4 31B (free)
Which Should You Choose?
Our recommendation:
Gemma 4 31B (free)

Gemma 4 31B (free) clearly outperforms Nemotron Nano 9B V2 (free) with a significant 40.5-point lead. For most general use cases, Gemma 4 31B (free) is the stronger choice. However, Nemotron Nano 9B V2 (free) may still excel in niche scenarios.

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 0% lower pricing; better value at scale
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by NVIDIA

Consider for specialized use cases.

Capability Comparison
CapabilityGemma 4 31B (free)Nemotron Nano 9B V2 (free)
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemma 4 31B (free)

Google

$0.000000
estimated monthly cost

Nemotron Nano 9B V2 (free)

NVIDIA

$0.000000
estimated monthly cost

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterGemma 4 31B (free)Nemotron Nano 9B V2 (free)
Context Window262K128K
Max Output Tokens32,768--
Open SourceYesYes
CreatedApr 2, 2026Sep 5, 2025
Last updated: 21m ago

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Gemma 4 31B (free) vs Nemotron Nano 9B V2 (free) (2026) | LM Market Cap