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Gemini 2.0 Flash vs o3 Deep Research

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Gemini 2.0 Flash and o3 Deep Research.

Google

Gemini 2.0 Flash

Gemini 2.0 Flash is Google's previous-generation fast, cost-efficient multimodal model, offering a compelling balance of speed, capability, and price. It supports text, image, and audio inputs with native multimodal understanding, making it well-suited for high-volume classification, real-time content moderation, and data extraction pipelines. Gemini 2.0 Flash introduced Google's context caching feature, significantly reducing costs for repeated document processing. While the 3.x series has since succeeded it, Gemini 2.0 Flash remains a popular cost-optimized choice for teams with established Vertex AI workflows.

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OpenAI

o3 Deep Research

o3-deep-research is OpenAI's advanced model for deep research, designed to tackle complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.

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Technical Specifications

SpecificationGemini 2.0 Flasho3 Deep Research
ProviderGoogleOpenAI
Context Window1,048,576 tokens200,000 tokens
Agent Suitability80/100N/A
Time to First Token (TTFT)180 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-02-052025-10-10

API Pricing Comparison

Input Price per Million Tokens

Gemini 2.0 Flash

$0.10

o3 Deep Research

$10.00

Output Price per Million Tokens

Gemini 2.0 Flash

$0.40

o3 Deep Research

$40.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

Gemini 2.0 Flash Quirks & Gotchas

  • โ–ธContext caching via Vertex AI โ€” up to 75% cost reduction for repeated prompts
  • โ–ธLegacy model โ€” migrate to Gemini 3.1 Flash for improved accuracy

o3 Deep Research Quirks & Gotchas

No developer gotchas reported.