| Signal | Gemini 3.5 Flash | Delta | o3 Deep Research |
|---|---|---|---|
Capabilities | 100 | -- | |
Benchmarks | 77 | -11 | |
Pricing | 91 | +31 | |
Context window size | 86 | +10 | |
Recency | 100 | +14 | |
Output Capacity | 80 | -3 | |
| Overall Result | 3 wins | of 6 | 2 wins |
Score History
78.5
current score
o3 Deep Research
right now
86.3
current score
OpenAI
Gemini 3.5 Flash saves you $2400.00/month
That's $28800.00/year compared to o3 Deep Research at your current usage level of 100K calls/month.
| Metric | Gemini 3.5 Flash | o3 Deep Research | Winner |
|---|---|---|---|
| Overall Score | 79 | 86 | o3 Deep Research |
| Rank | #55 | #29 | o3 Deep Research |
| Quality Rank | #55 | #29 | o3 Deep Research |
| Adoption Rank | #55 | #29 | o3 Deep Research |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 200K | Gemini 3.5 Flash |
| Pricing | $1.50/$9.00/M | $10.00/$40.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | Gemini 3.5 Flash |
| Benchmarks | 77 | 88 | o3 Deep Research |
| Pricing | 91 | 60 | Gemini 3.5 Flash |
| Context window size | 86 | 76 | Gemini 3.5 Flash |
| Recency | 100 | 86 | Gemini 3.5 Flash |
| Output Capacity | 80 | 83 | o3 Deep Research |
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 79/100 (rank #55), placing it in the top 81% of all 290 models tracked.
Scores 86/100 (rank #29), placing it in the top 90% of all 290 models tracked.
o3 Deep Research has a 8-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Gemini 3.5 Flash offers 79% better value per quality point. At 1M tokens/day, you'd spend $157.50/month with Gemini 3.5 Flash vs $750.00/month with o3 Deep Research - a $592.50 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
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. Gemini 3.5 Flash 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 ($9.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (86/100) 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 7.799999999999997-point lead in composite score. It wins on more signal dimensions, but Gemini 3.5 Flash has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Gemini 3.5 Flash
Marginally better benchmark scores; both are excellent
Best for Cost
Gemini 3.5 Flash
79% lower pricing; better value at scale
Best for Reliability
Gemini 3.5 Flash
Higher uptime and faster response speeds
Best for Prototyping
Gemini 3.5 Flash
Stronger community support and better developer experience
Best for Production
Gemini 3.5 Flash
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemini 3.5 Flash | o3 Deep Research |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Gemini 3.5 Flash saves you $52.50/month
That's 80% 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 3.5 Flash | o3 Deep Research |
|---|---|---|
| Context Window | 1.0M | 200K |
| Max Output Tokens | 65,536 | 100,000 |
| Open Source | No | No |
| Created | May 19, 2026 | Oct 10, 2025 |