| Signal | GPT-5.2-Codex | Delta | GPT-5.4 |
|---|---|---|---|
Capabilities | 100 | -- | |
Pricing | 14 | -1 | |
Context window size | 89 | -7 | |
Recency | 100 | -- | |
Output Capacity | 85 | -- | |
| Overall Result | 0 wins | of 5 | 2 wins |
6
days ranked higher
0
days
24
days ranked higher
OpenAI
OpenAI
GPT-5.2-Codex saves you $125.00/month
That's $1500.00/year compared to GPT-5.4 at your current usage level of 100K calls/month.
| Metric | GPT-5.2-Codex | GPT-5.4 | Winner |
|---|---|---|---|
| Overall Score | 96 | 97 | GPT-5.4 |
| Rank | #9 | #2 | GPT-5.4 |
| Quality Rank | #9 | #2 | GPT-5.4 |
| Adoption Rank | #9 | #2 | GPT-5.4 |
| Parameters | -- | -- | -- |
| Context Window | 400K | 1050K | GPT-5.4 |
| Pricing | $1.75/$14.00/M | $2.50/$15.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | GPT-5.2-Codex |
| Pricing | 14 | 15 | GPT-5.4 |
| Context window size | 89 | 96 | GPT-5.4 |
| Recency | 100 | 100 | GPT-5.2-Codex |
| Output Capacity | 85 | 85 | GPT-5.2-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 96/100 (rank #9), placing it in the top 97% of all 290 models tracked.
Scores 97/100 (rank #2), placing it in the top 100% 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-5.2-Codex offers 10% better value per quality point. At 1M tokens/day, you'd spend $236.25/month with GPT-5.2-Codex vs $262.50/month with GPT-5.4 — 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. GPT-5.2-Codex also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($14.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (97/100) 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-5.2-Codex and GPT-5.4 are extremely close in overall performance (only 1.4000000000000057 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-5.2-Codex
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-5.2-Codex
10% lower pricing; better value at scale
Best for Reliability
GPT-5.2-Codex
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.2-Codex
Stronger community support and better developer experience
Best for Production
GPT-5.2-Codex
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.2-Codex | GPT-5.4 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
OpenAI
GPT-5.2-Codex saves you $2.55/month
That's 11% cheaper than GPT-5.4 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-5.2-Codex | GPT-5.4 |
|---|---|---|
| Context Window | 400K | 1.1M |
| Max Output Tokens | 128,000 | 128,000 |
| Open Source | No | No |
| Created | Jan 14, 2026 | Mar 5, 2026 |
GPT-5.4 scores 97/100 (rank #2) compared to GPT-5.2-Codex's 96/100 (rank #9), giving it a 1-point advantage. GPT-5.4 is the stronger overall choice, though GPT-5.2-Codex may excel in specific areas like cost efficiency.
GPT-5.2-Codex is ranked #9 and GPT-5.4 is ranked #2 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-5.2-Codex is cheaper at $14.00/M output tokens vs GPT-5.4's $15.00/M output tokens — 1.1x more expensive. Input token pricing: GPT-5.2-Codex at $1.75/M vs GPT-5.4 at $2.50/M.
GPT-5.4 has a larger context window of 1,050,000 tokens compared to GPT-5.2-Codex's 400,000 tokens. A larger context window means the model can process longer documents and conversations.