| Signal | Gemini 2.5 Pro Preview 06-05 | Delta | o3 Deep Research |
|---|---|---|---|
Capabilities | 83 | -17 | |
Pricing | 10 | -30 | |
Context window size | 96 | +11 | |
Recency | 81 | -19 | |
Output Capacity | 80 | -3 | |
| Overall Result | 1 wins | of 5 | 4 wins |
0
days ranked higher
0
days
30
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OpenAI
Gemini 2.5 Pro Preview 06-05 saves you $2375.00/month
That's $28500.00/year compared to o3 Deep Research at your current usage level of 100K calls/month.
| Metric | Gemini 2.5 Pro Preview 06-05 | o3 Deep Research | Winner |
|---|---|---|---|
| Overall Score | 85 | 94 | o3 Deep Research |
| Rank | #55 | #15 | o3 Deep Research |
| Quality Rank | #55 | #15 | o3 Deep Research |
| Adoption Rank | #55 | #15 | o3 Deep Research |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 200K | Gemini 2.5 Pro Preview 06-05 |
| Pricing | $1.25/$10.00/M | $10.00/$40.00/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 100 | o3 Deep Research |
| Pricing | 10 | 40 | o3 Deep Research |
| Context window size | 96 | 84 | Gemini 2.5 Pro Preview 06-05 |
| Recency | 81 | 100 | o3 Deep Research |
| Output Capacity | 80 | 83 | o3 Deep Research |
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 85/100 (rank #55), placing it in the top 81% of all 290 models tracked.
Scores 94/100 (rank #15), placing it in the top 95% of all 290 models tracked.
o3 Deep Research has a 9-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Gemini 2.5 Pro Preview 06-05 offers 78% better value per quality point. At 1M tokens/day, you'd spend $168.75/month with Gemini 2.5 Pro Preview 06-05 vs $750.00/month with o3 Deep Research — a $581.25 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. Gemini 2.5 Pro Preview 06-05 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($10.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (94/100) 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
o3 Deep Research has a moderate advantage with a 9.399999999999991-point lead in composite score. It wins on more signal dimensions, but Gemini 2.5 Pro Preview 06-05 has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Gemini 2.5 Pro Preview 06-05
Marginally better benchmark scores; both are excellent
Best for Cost
Gemini 2.5 Pro Preview 06-05
78% lower pricing; better value at scale
Best for Reliability
Gemini 2.5 Pro Preview 06-05
Higher uptime and faster response speeds
Best for Prototyping
Gemini 2.5 Pro Preview 06-05
Stronger community support and better developer experience
Best for Production
Gemini 2.5 Pro Preview 06-05
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemini 2.5 Pro Preview 06-05 | o3 Deep Research |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Gemini 2.5 Pro Preview 06-05 saves you $51.75/month
That's 78% cheaper than o3 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 | Gemini 2.5 Pro Preview 06-05 | o3 Deep Research |
|---|---|---|
| Context Window | 1.0M | 200K |
| Max Output Tokens | 65,536 | 100,000 |
| Open Source | No | No |
| Created | Jun 5, 2025 | Oct 10, 2025 |
o3 Deep Research scores 94/100 (rank #15) compared to Gemini 2.5 Pro Preview 06-05's 85/100 (rank #55), giving it a 9-point advantage. o3 Deep Research is the stronger overall choice, though Gemini 2.5 Pro Preview 06-05 may excel in specific areas like cost efficiency.
Gemini 2.5 Pro Preview 06-05 is ranked #55 and o3 Deep Research is ranked #15 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.
Gemini 2.5 Pro Preview 06-05 is cheaper at $10.00/M output tokens vs o3 Deep Research's $40.00/M output tokens — 4.0x more expensive. Input token pricing: Gemini 2.5 Pro Preview 06-05 at $1.25/M vs o3 Deep Research at $10.00/M.
Gemini 2.5 Pro Preview 06-05 has a larger context window of 1,048,576 tokens compared to o3 Deep Research's 200,000 tokens. A larger context window means the model can process longer documents and conversations.