| Signal | Gemma 4 31B | Delta | o4 Mini |
|---|---|---|---|
Capabilities | 83 | -17 | |
Benchmarks | 86 | +2 | |
Pricing | 100 | +4 | |
Context window size | 77 | +2 | |
Recency | 100 | +40 | |
Output Capacity | 70 | -13 | |
| Overall Result | 4 wins | of 6 | 2 wins |
Score History
80
current score
o4 Mini
right now
81
current score
OpenAI
Gemma 4 31B saves you $299.50/month
That's $3594.00/year compared to o4 Mini at your current usage level of 100K calls/month.
| Metric | Gemma 4 31B | o4 Mini | Winner |
|---|---|---|---|
| Overall Score | 80 | 81 | o4 Mini |
| Rank | #41 | #39 | o4 Mini |
| Quality Rank | #41 | #39 | o4 Mini |
| Adoption Rank | #41 | #39 | o4 Mini |
| Parameters | 31B | -- | -- |
| Context Window | 262K | 200K | Gemma 4 31B |
| Pricing | $0.12/$0.37/M | $1.10/$4.40/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 100 | o4 Mini |
| Benchmarks | 86 | 85 | Gemma 4 31B |
| Pricing | 100 | 96 | Gemma 4 31B |
| Context window size | 77 | 76 | Gemma 4 31B |
| Recency | 100 | 60 | Gemma 4 31B |
| Output Capacity | 70 | 83 | o4 Mini |
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 80/100 (rank #41), placing it in the top 86% of all 290 models tracked.
Scores 81/100 (rank #39), placing it in the top 87% of all 290 models tracked.
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.
Gemma 4 31B offers 91% better value per quality point. At 1M tokens/day, you'd spend $7.35/month with Gemma 4 31B vs $82.50/month with o4 Mini - a $75.15 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 4 31B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.37/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (81/100) 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
Gemma 4 31B and o4 Mini are extremely close in overall performance (only 1 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Gemma 4 31B
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 4 31B
91% lower pricing; better value at scale
Best for Reliability
Gemma 4 31B
Higher uptime and faster response speeds
Best for Prototyping
Gemma 4 31B
Stronger community support and better developer experience
Best for Production
Gemma 4 31B
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemma 4 31B | o4 Mini |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Gemma 4 31B saves you $6.60/month
That's 91% cheaper than o4 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 4 31B | o4 Mini |
|---|---|---|
| Context Window | 262K | 200K |
| Max Output Tokens | 16,384 | 100,000 |
| Open Source | Yes | No |
| Created | Apr 2, 2026 | Apr 16, 2025 |