| Signal | GPT-5.3-Codex | Delta | GPT-5 Codex |
|---|---|---|---|
Capabilities | 100 | -- | |
Benchmarks | 88 | -- | |
Pricing | 86 | -4 | |
Context window size | 80 | -- | |
Recency | 100 | +11 | |
Output Capacity | 85 | -- | |
| Overall Result | 1 wins | of 6 | 1 wins |
Score History
88.2
current score
Tied
right now
88.2
current score
OpenAI
OpenAI
GPT-5 Codex 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 | GPT-5.3-Codex | GPT-5 Codex | Winner |
|---|---|---|---|
| Overall Score | 88 | 88 | -- |
| Rank | #15 | #17 | GPT-5.3-Codex |
| Quality Rank | #15 | #17 | GPT-5.3-Codex |
| Adoption Rank | #15 | #17 | GPT-5.3-Codex |
| Parameters | -- | -- | -- |
| Context Window | 400K | 400K | -- |
| Pricing | $1.75/$14.00/M | $1.25/$10.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | GPT-5.3-Codex |
| Benchmarks | 88 | 88 | GPT-5.3-Codex |
| Pricing | 86 | 90 | GPT-5 Codex |
| Context window size | 80 | 80 | GPT-5.3-Codex |
| Recency | 100 | 89 | GPT-5.3-Codex |
| Output Capacity | 85 | 85 | GPT-5.3-Codex |
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 88/100 (rank #15), placing it in the top 95% of all 290 models tracked.
Scores 88/100 (rank #17), placing it in the top 94% of all 290 models tracked.
With only a 0-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 29% better value per quality point. At 1M tokens/day, you'd spend $168.75/month with GPT-5 Codex 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
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. GPT-5 Codex also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (400K 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 (88/100) 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 and GPT-5 Codex are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-5.3-Codex
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-5 Codex
29% lower pricing; better value at scale
Best for Reliability
GPT-5.3-Codex
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.3-Codex
Stronger community support and better developer experience
Best for Production
GPT-5.3-Codex
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.3-Codex | GPT-5 Codex |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
OpenAI
GPT-5 Codex 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 | GPT-5.3-Codex | GPT-5 Codex |
|---|---|---|
| Context Window | 400K | 400K |
| Max Output Tokens | 128,000 | 128,000 |
| Open Source | No | No |
| Created | Feb 24, 2026 | Sep 23, 2025 |