| Signal | Gemini 2.5 Pro Preview 05-06 | Delta | GPT-5.3-Codex |
|---|---|---|---|
Capabilities | 83 | -17 | |
Pricing | 10 | -4 | |
Context window size | 96 | +7 | |
Recency | 75 | -25 | |
Output Capacity | 80 | -5 | |
| Overall Result | 1 wins | of 5 | 4 wins |
4
days ranked higher
2
days
24
days ranked higher
OpenAI
Gemini 2.5 Pro Preview 05-06 saves you $250.00/month
That's $3000.00/year compared to GPT-5.3-Codex at your current usage level of 100K calls/month.
| Metric | Gemini 2.5 Pro Preview 05-06 | GPT-5.3-Codex | Winner |
|---|---|---|---|
| Overall Score | 83 | 85 | GPT-5.3-Codex |
| Rank | #57 | #29 | GPT-5.3-Codex |
| Quality Rank | #57 | #29 | GPT-5.3-Codex |
| Adoption Rank | #57 | #29 | GPT-5.3-Codex |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 400K | Gemini 2.5 Pro Preview 05-06 |
| Pricing | $1.25/$10.00/M | $1.75/$14.00/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 100 | GPT-5.3-Codex |
| Pricing | 10 | 14 | GPT-5.3-Codex |
| Context window size | 96 | 89 | Gemini 2.5 Pro Preview 05-06 |
| Recency | 75 | 100 | GPT-5.3-Codex |
| Output Capacity | 80 | 85 | GPT-5.3-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 83/100 (rank #57), placing it in the top 81% of all 290 models tracked.
Scores 85/100 (rank #29), placing it in the top 90% of all 290 models tracked.
With only a 2-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.
Gemini 2.5 Pro Preview 05-06 offers 29% better value per quality point. At 1M tokens/day, you'd spend $168.75/month with Gemini 2.5 Pro Preview 05-06 vs $236.25/month with GPT-5.3-Codex - 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. Gemini 2.5 Pro Preview 05-06 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 (85/100) 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 2.5 Pro Preview 05-06 and GPT-5.3-Codex are extremely close in overall performance (only 2.299999999999997 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Gemini 2.5 Pro Preview 05-06
Marginally better benchmark scores; both are excellent
Best for Cost
Gemini 2.5 Pro Preview 05-06
29% lower pricing; better value at scale
Best for Reliability
Gemini 2.5 Pro Preview 05-06
Higher uptime and faster response speeds
Best for Prototyping
Gemini 2.5 Pro Preview 05-06
Stronger community support and better developer experience
Best for Production
Gemini 2.5 Pro Preview 05-06
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemini 2.5 Pro Preview 05-06 | GPT-5.3-Codex |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Gemini 2.5 Pro Preview 05-06 saves you $5.70/month
That's 29% cheaper than GPT-5.3-Codex 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 05-06 | GPT-5.3-Codex |
|---|---|---|
| Context Window | 1.0M | 400K |
| Max Output Tokens | 65,535 | 128,000 |
| Open Source | No | No |
| Created | May 7, 2025 | Feb 24, 2026 |
GPT-5.3-Codex scores 85/100 (rank #29) compared to Gemini 2.5 Pro Preview 05-06's 83/100 (rank #57), giving it a 2-point advantage. GPT-5.3-Codex is the stronger overall choice, though Gemini 2.5 Pro Preview 05-06 may excel in specific areas like cost efficiency.
Gemini 2.5 Pro Preview 05-06 is ranked #57 and GPT-5.3-Codex is ranked #29 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 05-06 is cheaper at $10.00/M output tokens vs GPT-5.3-Codex's $14.00/M output tokens - 1.4x more expensive. Input token pricing: Gemini 2.5 Pro Preview 05-06 at $1.25/M vs GPT-5.3-Codex at $1.75/M.
Gemini 2.5 Pro Preview 05-06 has a larger context window of 1,048,576 tokens compared to GPT-5.3-Codex's 400,000 tokens. A larger context window means the model can process longer documents and conversations.