| Signal | GPT-4 Turbo | Delta | GPT-5.3-Codex |
|---|---|---|---|
Capabilities | 67 | -33 | |
Benchmarks | 78 | +78 | |
Pricing | 30 | +16 | |
Context window size | 81 | -8 | |
Recency | 3 | -97 | |
Output Capacity | 60 | -25 | |
| Overall Result | 2 wins | of 6 | 4 wins |
0
days ranked higher
0
days
30
days ranked higher
OpenAI
OpenAI
GPT-5.3-Codex saves you $1625.00/month
That's $19500.00/year compared to GPT-4 Turbo at your current usage level of 100K calls/month.
| Metric | GPT-4 Turbo | GPT-5.3-Codex | Winner |
|---|---|---|---|
| Overall Score | 61 | 85 | GPT-5.3-Codex |
| Rank | #220 | #29 | GPT-5.3-Codex |
| Quality Rank | #220 | #29 | GPT-5.3-Codex |
| Adoption Rank | #220 | #29 | GPT-5.3-Codex |
| Parameters | -- | -- | -- |
| Context Window | 128K | 400K | GPT-5.3-Codex |
| Pricing | $10.00/$30.00/M | $1.75/$14.00/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 100 | GPT-5.3-Codex |
| Benchmarks | 78 | -- | GPT-4 Turbo |
| Pricing | 30 | 14 | GPT-4 Turbo |
| Context window size | 81 | 89 | GPT-5.3-Codex |
| Recency | 3 | 100 | GPT-5.3-Codex |
| Output Capacity | 60 | 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 61/100 (rank #220), placing it in the top 24% of all 290 models tracked.
Scores 85/100 (rank #29), placing it in the top 90% of all 290 models tracked.
GPT-5.3-Codex has a 25-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
GPT-5.3-Codex offers 61% better value per quality point. At 1M tokens/day, you'd spend $236.25/month with GPT-5.3-Codex vs $600.00/month with GPT-4 Turbo - a $363.75 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-5.3-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 ($14.00/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
GPT-5.3-Codex clearly outperforms GPT-4 Turbo with a significant 24.5-point lead. For most general use cases, GPT-5.3-Codex is the stronger choice. However, GPT-4 Turbo may still excel in niche scenarios.
Best for Quality
GPT-4 Turbo
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-5.3-Codex
61% lower pricing; better value at scale
Best for Reliability
GPT-4 Turbo
Higher uptime and faster response speeds
Best for Prototyping
GPT-4 Turbo
Stronger community support and better developer experience
Best for Production
GPT-4 Turbo
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4 Turbo | GPT-5.3-Codex |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
OpenAI
GPT-5.3-Codex saves you $34.05/month
That's 63% cheaper than GPT-4 Turbo 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-4 Turbo | GPT-5.3-Codex |
|---|---|---|
| Context Window | 128K | 400K |
| Max Output Tokens | 4,096 | 128,000 |
| Open Source | No | No |
| Created | Apr 9, 2024 | Feb 24, 2026 |
GPT-5.3-Codex scores 85/100 (rank #29) compared to GPT-4 Turbo's 61/100 (rank #220), giving it a 25-point advantage. GPT-5.3-Codex is the stronger overall choice, though GPT-4 Turbo may excel in specific areas like certain benchmarks.
GPT-4 Turbo is ranked #220 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.
GPT-5.3-Codex is cheaper at $14.00/M output tokens vs GPT-4 Turbo's $30.00/M output tokens - 2.1x more expensive. Input token pricing: GPT-4 Turbo at $10.00/M vs GPT-5.3-Codex at $1.75/M.
GPT-5.3-Codex has a larger context window of 400,000 tokens compared to GPT-4 Turbo's 128,000 tokens. A larger context window means the model can process longer documents and conversations.