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Gemma 4 31B (free) vs GPT-5 Nano (batch)

Gemma 4 31B (free)

Google

76#102
vs
GPT-5 Nano (batch)

OpenAI

77#100
Signal-by-Signal Comparison
SignalGemma 4 31B (free)DeltaGPT-5 Nano (batch)
Capabilities
83
-17
100
Benchmarks
85
-3
88
Pricing
100
+0
100
Context window size
86
-3
89
Recency
97
+43
53
Output Capacity
72
-9
82
Overall Result
2 wins
of 6
4 wins
GPT-5 Nano (batch) wins 4 of 6 signals

Score History

Score History (28 data points)
Gemma 4 31B (free)GPT-5 Nano (batch)
Gemma 4 31B (free)

75.9

current score

Leader

GPT-5 Nano (batch)

right now

GPT-5 Nano (batch)

76.8

current score

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

Gemma 4 31B (free)

Google

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

GPT-5 Nano (batch)

OpenAI

Per request$0.000125
Daily$0.42
Monthly$12.50
Annual$150.00

Gemma 4 31B (free) saves you $12.50/month

That's $150.00/year compared to GPT-5 Nano (batch) at your current usage level of 100K calls/month.

100% cheaper
Choose Gemma 4 31B (free) for cost optimization

Gemma 4 31B (free) pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
GPT-5 Nano (batch) pricing:
Input:$0.02/M tokens
Output:$0.20/M tokens
Gemma 4 31B (free)

Google

76

Composite Score

Winner
GPT-5 Nano (batch)

OpenAI

77

Composite Score

Signal-by-Signal Comparison
MetricGemma 4 31B (free)GPT-5 Nano (batch)Winner
Overall Score
76
77
GPT-5 Nano (batch)
Rank#102#100
GPT-5 Nano (batch)
Quality Rank#102#100
GPT-5 Nano (batch)
Adoption Rank#102#100
GPT-5 Nano (batch)
Parameters31B----
Context Window262K400K
GPT-5 Nano (batch)
PricingFree$0.02/$0.20/M--
Signal Scores
Capabilities
83
100
GPT-5 Nano (batch)
Benchmarks
85
88
GPT-5 Nano (batch)
Pricing
100
100
Gemma 4 31B (free)
Context window size
86
89
GPT-5 Nano (batch)
Recency
97
53
Gemma 4 31B (free)
Output Capacity
72
82
GPT-5 Nano (batch)
Benchmark Head-to-Head(12 benchmarks)
Gemma 4: 2GPT-5 Nano: 3
Gemma 4
GPT-5 Nano
Normalized 0-100%
MMLU
-93%
MMLU-Pro
85.2%84.5%
GPQA Diamond
84.3%85%
MATH-500
-92.5%
HumanEval
-96.5%
SWE-bench Verified
-75%
AIME 2024
89.2%-
IFEval
-92%
BBH
74.4%90.5%
Arena Elo
-1465
LiveBench
80%76%
HLE
19.5%35%
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 76/100 (rank #102), placing it in the top 65% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-5 Nano (batch)Strong Performer

Scores 77/100 (rank #100), placing it in the top 66% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 1-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

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

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose GPT-5 Nano (batch) when you need:

  • Processing long documents or large codebases (400K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
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
GPT-5 Nano (batch)
Input cost$0.02/M tokens
Output cost$0.20/M tokens
Cost per quality point$0.003
Est. monthly (1M tokens/day)$3.37

Compare the cost per quality point to find the best value for your specific workload.

Latency & Speed
Gemma 4 31B (free)Faster
Speed score0/100
GPT-5 Nano (batch)
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 (400K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-5 Nano (batch)

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 (77/100) correlates with better nuance, coherence, and style in long-form content

GPT-5 Nano (batch)

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:
GPT-5 Nano (batch)

Gemma 4 31B (free) and GPT-5 Nano (batch) are extremely close in overall performance (only 0.8999999999999915 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 100% 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 OpenAI

Consider for specialized use cases.

Capability Comparison
CapabilityGemma 4 31B (free)GPT-5 Nano (batch)
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemma 4 31B (free)

Google

Best Value
$0.000000
estimated monthly cost

GPT-5 Nano (batch)

OpenAI

$0.2850
estimated monthly cost

Gemma 4 31B (free) saves you $0.2850/month

That's 100% cheaper than GPT-5 Nano (batch) at 1,000 tokens/request and 100 requests/day.

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

Parameters & Context
ParameterGemma 4 31B (free)GPT-5 Nano (batch)
Context Window262K400K
Max Output Tokens32,768128,000
Open SourceYesNo
CreatedApr 2, 2026Aug 7, 2025
Last updated: 29m ago

相关对比

Gemma 4 31B (free) vs GPT-5 Nano (batch) (2026) | LM Market Cap