| Signal | Gemini 3.1 Pro Preview | Delta | GPT-5.3-Codex |
|---|---|---|---|
Capabilities | 83 | -17 | |
Pricing | 12 | -2 | |
Context window size | 96 | +7 | |
Recency | 100 | -- | |
Output Capacity | 80 | -5 | |
| Overall Result | 1 wins | of 5 | 3 wins |
0
days ranked higher
0
days
30
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OpenAI
Gemini 3.1 Pro Preview saves you $75.00/month
That's $900.00/year compared to GPT-5.3-Codex at your current usage level of 100K calls/month.
| Metric | Gemini 3.1 Pro Preview | GPT-5.3-Codex | Winner |
|---|---|---|---|
| Overall Score | 89 | 96 | GPT-5.3-Codex |
| Rank | #29 | #8 | GPT-5.3-Codex |
| Quality Rank | #29 | #8 | GPT-5.3-Codex |
| Adoption Rank | #29 | #8 | GPT-5.3-Codex |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 400K | Gemini 3.1 Pro Preview |
| Pricing | $2.00/$12.00/M | $1.75/$14.00/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 100 | GPT-5.3-Codex |
| Pricing | 12 | 14 | GPT-5.3-Codex |
| Context window size | 96 | 89 | Gemini 3.1 Pro Preview |
| Recency | 100 | 100 | Gemini 3.1 Pro Preview |
| 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 89/100 (rank #29), placing it in the top 90% of all 290 models tracked.
Scores 96/100 (rank #8), placing it in the top 98% of all 290 models tracked.
GPT-5.3-Codex has a 7-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Gemini 3.1 Pro Preview offers 11% better value per quality point. At 1M tokens/day, you'd spend $210.00/month with Gemini 3.1 Pro Preview vs $236.25/month with GPT-5.3-Codex — a $26.25 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 3.1 Pro Preview 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 ($12.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (96/100) 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
GPT-5.3-Codex has a moderate advantage with a 6.799999999999997-point lead in composite score. It wins on more signal dimensions, but Gemini 3.1 Pro Preview has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Gemini 3.1 Pro Preview
Marginally better benchmark scores; both are excellent
Best for Cost
Gemini 3.1 Pro Preview
11% lower pricing; better value at scale
Best for Reliability
Gemini 3.1 Pro Preview
Higher uptime and faster response speeds
Best for Prototyping
Gemini 3.1 Pro Preview
Stronger community support and better developer experience
Best for Production
Gemini 3.1 Pro Preview
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemini 3.1 Pro Preview | GPT-5.3-Codex |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Gemini 3.1 Pro Preview saves you $1.95/month
That's 10% 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 3.1 Pro Preview | GPT-5.3-Codex |
|---|---|---|
| Context Window | 1.0M | 400K |
| Max Output Tokens | 65,536 | 128,000 |
| Open Source | No | No |
| Created | Feb 19, 2026 | Feb 24, 2026 |
GPT-5.3-Codex scores 96/100 (rank #8) compared to Gemini 3.1 Pro Preview's 89/100 (rank #29), giving it a 7-point advantage. GPT-5.3-Codex is the stronger overall choice, though Gemini 3.1 Pro Preview may excel in specific areas like cost efficiency.
Gemini 3.1 Pro Preview is ranked #29 and GPT-5.3-Codex is ranked #8 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 3.1 Pro Preview is cheaper at $12.00/M output tokens vs GPT-5.3-Codex's $14.00/M output tokens — 1.2x more expensive. Input token pricing: Gemini 3.1 Pro Preview at $2.00/M vs GPT-5.3-Codex at $1.75/M.
Gemini 3.1 Pro Preview 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.