| Signal | Gemma 4 31B | Delta | o4 Mini Deep Research |
|---|---|---|---|
Capabilities | 83 | -17 | |
Benchmarks | 86 | +2 | |
Pricing | 100 | +8 | |
Context window size | 86 | +2 | |
Recency | 100 | -- | |
Output Capacity | 85 | +2 | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
80.5
current score
o4 Mini Deep Research
right now
81.4
current score
OpenAI
Gemma 4 31B saves you $566.00/month
That's $6792.00/year compared to o4 Mini Deep Research at your current usage level of 100K calls/month.
| Metric | Gemma 4 31B | o4 Mini Deep Research | Winner |
|---|---|---|---|
| Overall Score | 81 | 81 | o4 Mini Deep Research |
| Rank | #33 | #31 | o4 Mini Deep Research |
| Quality Rank | #33 | #31 | o4 Mini Deep Research |
| Adoption Rank | #33 | #31 | o4 Mini Deep Research |
| Parameters | 31B | -- | -- |
| Context Window | 262K | 200K | Gemma 4 31B |
| Pricing | $0.14/$0.40/M | $2.00/$8.00/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 100 | o4 Mini Deep Research |
| Benchmarks | 86 | 85 | Gemma 4 31B |
| Pricing | 100 | 92 | Gemma 4 31B |
| Context window size | 86 | 84 | Gemma 4 31B |
| Recency | 100 | 100 | Gemma 4 31B |
| Output Capacity | 85 | 83 | Gemma 4 31B |
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 81/100 (rank #33), placing it in the top 89% of all 290 models tracked.
Scores 81/100 (rank #31), placing it in the top 90% 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 95% better value per quality point. At 1M tokens/day, you'd spend $8.10/month with Gemma 4 31B vs $150.00/month with o4 Mini Deep Research - a $141.90 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 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 ($0.40/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 Deep Research are extremely close in overall performance (only 0.9000000000000057 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
95% 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 Deep Research |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Gemma 4 31B saves you $12.47/month
That's 94% cheaper than o4 Mini Deep Research 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 Deep Research |
|---|---|---|
| Context Window | 262K | 200K |
| Max Output Tokens | 131,072 | 100,000 |
| Open Source | Yes | No |
| Created | Apr 2, 2026 | Oct 10, 2025 |
o4 Mini Deep Research scores 81/100 (rank #31) compared to Gemma 4 31B's 81/100 (rank #33), giving it a 1-point advantage. o4 Mini Deep Research is the stronger overall choice, though Gemma 4 31B may excel in specific areas like cost efficiency.
Gemma 4 31B is ranked #33 and o4 Mini Deep Research is ranked #31 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Gemma 4 31B is cheaper at $0.40/M output tokens vs o4 Mini Deep Research's $8.00/M output tokens - 20.0x more expensive. Input token pricing: Gemma 4 31B at $0.14/M vs o4 Mini Deep Research at $2.00/M.
Gemma 4 31B has a larger context window of 262,144 tokens compared to o4 Mini Deep Research's 200,000 tokens. A larger context window means the model can process longer documents and conversations.