Gemma 3n 4B vs GPT-5.6 Luna (batch)
| Signal | Gemma 3n 4B | Delta | GPT-5.6 Luna (batch) |
|---|---|---|---|
Capabilities | 33 | -67 | |
Pricing | 100 | +1 | |
Context window size | 72 | -24 | |
Recency | 52 | -48 | |
Output Capacity | 20 | -65 | |
Benchmarks | 0 | -88 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
40
current score
GPT-5.6 Luna (batch)
right now
89
current score
Gemma 3n 4B
GPT-5.6 Luna (batch)
OpenAI
Gemma 3n 4B saves you $28.00/month
That's $336.00/year compared to GPT-5.6 Luna (batch) at your current usage level of 100K calls/month.
| Metric | Gemma 3n 4B | GPT-5.6 Luna (batch) | Winner |
|---|---|---|---|
| Overall Score | 40 | 89 | GPT-5.6 Luna (batch) |
| Rank | #333 | #35 | GPT-5.6 Luna (batch) |
| Quality Rank | #333 | #35 | GPT-5.6 Luna (batch) |
| Adoption Rank | #333 | #35 | GPT-5.6 Luna (batch) |
| Parameters | 4B | -- | -- |
| Context Window | 33K | 1050K | GPT-5.6 Luna (batch) |
| Pricing | $0.06/$0.12/M | $0.10/$0.60/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 100 | GPT-5.6 Luna (batch) |
| Pricing | 100 | 99 | Gemma 3n 4B |
| Context window size | 72 | 96 | GPT-5.6 Luna (batch) |
| Recency | 52 | 100 | GPT-5.6 Luna (batch) |
| Output Capacity | 20 | 85 | GPT-5.6 Luna (batch) |
| Benchmarks | -- | 88 | GPT-5.6 Luna (batch) |
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.
Scores 40/100 (rank #333), placing it in the top -14% of all 290 models tracked.
Scores 89/100 (rank #35), placing it in the top 88% of all 290 models tracked.
GPT-5.6 Luna (batch) has a 49-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose Gemma 3n 4B when you need:
- High-volume production workloads where API costs must be minimized
- Self-hosted deployments where you need full control over the model
Choose GPT-5.6 Luna (batch) when you need:
- Processing long documents or large codebases (1050K token context)
- Multimodal workflows that require image understanding
- Agentic applications using tool/function calling
- Step-by-step reasoning and chain-of-thought problem solving
Gemma 3n 4B offers 74% better value per quality point. At 1M tokens/day, you'd spend $2.70/month with Gemma 3n 4B vs $10.50/month with GPT-5.6 Luna (batch) - a $7.80 monthly difference.
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.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Gemma 3n 4B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.12/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (89/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
GPT-5.6 Luna (batch) clearly outperforms Gemma 3n 4B with a significant 49-point lead. For most general use cases, GPT-5.6 Luna (batch) is the stronger choice. However, Gemma 3n 4B may still excel in niche scenarios.
By Use Case
Best for Quality
Gemma 3n 4B
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 3n 4B
74% lower pricing; better value at scale
Best for Reliability
Gemma 3n 4B
Higher uptime and faster response speeds
Best for Prototyping
Gemma 3n 4B
Stronger community support and better developer experience
Best for Production
Gemma 3n 4B
Wider enterprise adoption and proven at scale
by Google
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 74% 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
| Capability | Gemma 3n 4B | GPT-5.6 Luna (batch) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Gemma 3n 4B
GPT-5.6 Luna (batch)
OpenAI
Gemma 3n 4B saves you $0.6480/month
That's 72% cheaper than GPT-5.6 Luna (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.
| Parameter | Gemma 3n 4B | GPT-5.6 Luna (batch) |
|---|---|---|
| Context Window | 33K | 1.1M |
| Max Output Tokens | -- | 128,000 |
| Open Source | Yes | No |
| Created | May 20, 2025 | Jul 9, 2026 |