| Signal | Gemma 3 12B | Delta | GPT-5.4 Mini |
|---|---|---|---|
Capabilities | 50 | -50 | |
Pricing | 0 | -4 | |
Context window size | 81 | -8 | |
Recency | 64 | -36 | |
Output Capacity | 20 | -65 | |
Benchmarks | 0 | -90 | |
| Overall Result | 0 wins | of 6 | 6 wins |
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OpenAI
Gemma 3 12B saves you $289.50/month
That's $3474.00/year compared to GPT-5.4 Mini at your current usage level of 100K calls/month.
| Metric | Gemma 3 12B | GPT-5.4 Mini | Winner |
|---|---|---|---|
| Overall Score | 56 | 93 | GPT-5.4 Mini |
| Rank | #238 | #3 | GPT-5.4 Mini |
| Quality Rank | #238 | #3 | GPT-5.4 Mini |
| Adoption Rank | #238 | #3 | GPT-5.4 Mini |
| Parameters | 12B | -- | -- |
| Context Window | 131K | 400K | GPT-5.4 Mini |
| Pricing | $0.04/$0.13/M | $0.75/$4.50/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 100 | GPT-5.4 Mini |
| Pricing | 0 | 5 | GPT-5.4 Mini |
| Context window size | 81 | 89 | GPT-5.4 Mini |
| Recency | 64 | 100 | GPT-5.4 Mini |
| Output Capacity | 20 | 85 | GPT-5.4 Mini |
| Benchmarks | -- | 90 | GPT-5.4 Mini |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 56/100 (rank #238), placing it in the top 18% of all 290 models tracked.
Scores 93/100 (rank #3), placing it in the top 99% of all 290 models tracked.
GPT-5.4 Mini has a 37-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Gemma 3 12B offers 97% better value per quality point. At 1M tokens/day, you'd spend $2.55/month with Gemma 3 12B vs $78.75/month with GPT-5.4 Mini - a $76.20 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
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Gemma 3 12B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.13/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (93/100) 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-5.4 Mini clearly outperforms Gemma 3 12B with a significant 37.3-point lead. For most general use cases, GPT-5.4 Mini is the stronger choice. However, Gemma 3 12B may still excel in niche scenarios.
Best for Quality
Gemma 3 12B
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 3 12B
97% lower pricing; better value at scale
Best for Reliability
Gemma 3 12B
Higher uptime and faster response speeds
Best for Prototyping
Gemma 3 12B
Stronger community support and better developer experience
Best for Production
Gemma 3 12B
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemma 3 12B | GPT-5.4 Mini |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Gemma 3 12B saves you $6.52/month
That's 97% cheaper than GPT-5.4 Mini 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 3 12B | GPT-5.4 Mini |
|---|---|---|
| Context Window | 131K | 400K |
| Max Output Tokens | -- | 128,000 |
| Open Source | Yes | No |
| Created | Mar 13, 2025 | Mar 17, 2026 |
GPT-5.4 Mini scores 93/100 (rank #3) compared to Gemma 3 12B's 56/100 (rank #238), giving it a 37-point advantage. GPT-5.4 Mini is the stronger overall choice, though Gemma 3 12B may excel in specific areas like cost efficiency.
Gemma 3 12B is ranked #238 and GPT-5.4 Mini is ranked #3 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Gemma 3 12B is cheaper at $0.13/M output tokens vs GPT-5.4 Mini's $4.50/M output tokens - 34.6x more expensive. Input token pricing: Gemma 3 12B at $0.04/M vs GPT-5.4 Mini at $0.75/M.
GPT-5.4 Mini has a larger context window of 400,000 tokens compared to Gemma 3 12B's 131,072 tokens. A larger context window means the model can process longer documents and conversations.