| Signal | o4 Mini | Delta | o4 Mini Deep Research |
|---|---|---|---|
Capabilities | 100 | -- | |
Benchmarks | 85 | -- | |
Pricing | 96 | +4 | |
Context window size | 84 | -- | |
Recency | 68 | -32 | |
Output Capacity | 83 | -- | |
| Overall Result | 1 wins | of 6 | 1 wins |
Score History
81.4
current score
Tied
right now
81.4
current score
OpenAI
OpenAI
o4 Mini saves you $270.00/month
That's $3240.00/year compared to o4 Mini Deep Research at your current usage level of 100K calls/month.
| Metric | o4 Mini | o4 Mini Deep Research | Winner |
|---|---|---|---|
| Overall Score | 81 | 81 | -- |
| Rank | #32 | #31 | o4 Mini Deep Research |
| Quality Rank | #32 | #31 | o4 Mini Deep Research |
| Adoption Rank | #32 | #31 | o4 Mini Deep Research |
| Parameters | -- | -- | -- |
| Context Window | 200K | 200K | -- |
| Pricing | $1.10/$4.40/M | $2.00/$8.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | o4 Mini |
| Benchmarks | 85 | 85 | o4 Mini |
| Pricing | 96 | 92 | o4 Mini |
| Context window size | 84 | 84 | o4 Mini |
| Recency | 68 | 100 | o4 Mini Deep Research |
| Output Capacity | 83 | 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 81/100 (rank #32), 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 0-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.
o4 Mini offers 45% better value per quality point. At 1M tokens/day, you'd spend $82.50/month with o4 Mini vs $150.00/month with o4 Mini Deep Research - a $67.50 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. o4 Mini also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (200K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($4.40/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
o4 Mini and o4 Mini Deep Research are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
o4 Mini
Marginally better benchmark scores; both are excellent
Best for Cost
o4 Mini
45% lower pricing; better value at scale
Best for Reliability
o4 Mini
Higher uptime and faster response speeds
Best for Prototyping
o4 Mini
Stronger community support and better developer experience
Best for Production
o4 Mini
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | o4 Mini | o4 Mini Deep Research |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
OpenAI
o4 Mini saves you $5.94/month
That's 45% 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 | o4 Mini | o4 Mini Deep Research |
|---|---|---|
| Context Window | 200K | 200K |
| Max Output Tokens | 100,000 | 100,000 |
| Open Source | No | No |
| Created | Apr 16, 2025 | Oct 10, 2025 |
Both o4 Mini and o4 Mini Deep Research score 81/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
o4 Mini is ranked #32 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.
o4 Mini is cheaper at $4.40/M output tokens vs o4 Mini Deep Research's $8.00/M output tokens - 1.8x more expensive. Input token pricing: o4 Mini at $1.10/M vs o4 Mini Deep Research at $2.00/M.
o4 Mini has a larger context window of 200,000 tokens compared to o4 Mini Deep Research's 200,000 tokens. A larger context window means the model can process longer documents and conversations.