| Signal | Gemini 3 Pro Preview | Delta | GPT-5 Codex |
|---|---|---|---|
Capabilities | 83 | -- | |
Pricing | 12 | +2 | |
Context window size | 96 | +7 | |
Recency | 100 | -- | |
Output Capacity | 80 | -5 | |
| Overall Result | 2 wins | of 5 | 1 wins |
11
days ranked higher
1
days
18
days ranked higher
OpenAI
GPT-5 Codex saves you $175.00/month
That's $2100.00/year compared to Gemini 3 Pro Preview at your current usage level of 100K calls/month.
| Metric | Gemini 3 Pro Preview | GPT-5 Codex | Winner |
|---|---|---|---|
| Overall Score | 89 | 88 | Gemini 3 Pro Preview |
| Rank | #30 | #38 | Gemini 3 Pro Preview |
| Quality Rank | #30 | #38 | Gemini 3 Pro Preview |
| Adoption Rank | #30 | #38 | Gemini 3 Pro Preview |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 400K | Gemini 3 Pro Preview |
| Pricing | $2.00/$12.00/M | $1.25/$10.00/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 83 | Gemini 3 Pro Preview |
| Pricing | 12 | 10 | Gemini 3 Pro Preview |
| Context window size | 96 | 89 | Gemini 3 Pro Preview |
| Recency | 100 | 100 | Gemini 3 Pro Preview |
| Output Capacity | 80 | 85 | GPT-5 Codex |
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 89/100 (rank #30), placing it in the top 90% of all 290 models tracked.
Scores 88/100 (rank #38), placing it in the top 87% 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.
GPT-5 Codex offers 20% better value per quality point. At 1M tokens/day, you'd spend $168.75/month with GPT-5 Codex vs $210.00/month with Gemini 3 Pro Preview — a $41.25 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. GPT-5 Codex 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 (89/100) 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
Gemini 3 Pro Preview and GPT-5 Codex are extremely close in overall performance (only 0.7000000000000028 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Gemini 3 Pro Preview
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-5 Codex
20% lower pricing; better value at scale
Best for Reliability
Gemini 3 Pro Preview
Higher uptime and faster response speeds
Best for Prototyping
Gemini 3 Pro Preview
Stronger community support and better developer experience
Best for Production
Gemini 3 Pro Preview
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemini 3 Pro Preview | GPT-5 Codex |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
GPT-5 Codex saves you $3.75/month
That's 21% cheaper than Gemini 3 Pro Preview 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 Pro Preview | GPT-5 Codex |
|---|---|---|
| Context Window | 1.0M | 400K |
| Max Output Tokens | 65,536 | 128,000 |
| Open Source | No | No |
| Created | Nov 18, 2025 | Sep 23, 2025 |
Gemini 3 Pro Preview scores 89/100 (rank #30) compared to GPT-5 Codex's 88/100 (rank #38), giving it a 1-point advantage. Gemini 3 Pro Preview is the stronger overall choice, though GPT-5 Codex may excel in specific areas like cost efficiency.
Gemini 3 Pro Preview is ranked #30 and GPT-5 Codex is ranked #38 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.
GPT-5 Codex is cheaper at $10.00/M output tokens vs Gemini 3 Pro Preview's $12.00/M output tokens — 1.2x more expensive. Input token pricing: Gemini 3 Pro Preview at $2.00/M vs GPT-5 Codex at $1.25/M.
Gemini 3 Pro Preview has a larger context window of 1,048,576 tokens compared to GPT-5 Codex's 400,000 tokens. A larger context window means the model can process longer documents and conversations.