| Signal | GPT-4.1 | Delta | GPT-5.3-Codex |
|---|---|---|---|
Capabilities | 83 | -17 | |
Benchmarks | 75 | +75 | |
Pricing | 8 | -6 | |
Context window size | 96 | +7 | |
Recency | 71 | -29 | |
Output Capacity | 75 | -10 | |
| Overall Result | 2 wins | of 6 | 4 wins |
0
days ranked higher
0
days
30
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OpenAI
OpenAI
GPT-4.1 saves you $275.00/month
That's $3300.00/year compared to GPT-5.3-Codex at your current usage level of 100K calls/month.
| Metric | GPT-4.1 | GPT-5.3-Codex | Winner |
|---|---|---|---|
| Overall Score | 77 | 85 | GPT-5.3-Codex |
| Rank | #92 | #29 | GPT-5.3-Codex |
| Quality Rank | #92 | #29 | GPT-5.3-Codex |
| Adoption Rank | #92 | #29 | GPT-5.3-Codex |
| Parameters | -- | -- | -- |
| Context Window | 1048K | 400K | GPT-4.1 |
| Pricing | $2.00/$8.00/M | $1.75/$14.00/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 100 | GPT-5.3-Codex |
| Benchmarks | 75 | -- | GPT-4.1 |
| Pricing | 8 | 14 | GPT-5.3-Codex |
| Context window size | 96 | 89 | GPT-4.1 |
| Recency | 71 | 100 | GPT-5.3-Codex |
| Output Capacity | 75 | 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 77/100 (rank #92), placing it in the top 69% 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 8-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
GPT-4.1 offers 37% better value per quality point. At 1M tokens/day, you'd spend $150.00/month with GPT-4.1 vs $236.25/month with GPT-5.3-Codex - a $86.25 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-4.1 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1048K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($8.00/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 has a moderate advantage with a 7.599999999999994-point lead in composite score. It wins on more signal dimensions, but GPT-4.1 has specific strengths that could make it the better choice for certain workflows.
Best for Quality
GPT-4.1
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-4.1
37% lower pricing; better value at scale
Best for Reliability
GPT-4.1
Higher uptime and faster response speeds
Best for Prototyping
GPT-4.1
Stronger community support and better developer experience
Best for Production
GPT-4.1
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4.1 | GPT-5.3-Codex |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
OpenAI
OpenAI
GPT-4.1 saves you $6.75/month
That's 34% 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-4.1 | GPT-5.3-Codex |
|---|---|---|
| Context Window | 1.0M | 400K |
| Max Output Tokens | 32,768 | 128,000 |
| Open Source | No | No |
| Created | Apr 14, 2025 | Feb 24, 2026 |
GPT-5.3-Codex scores 85/100 (rank #29) compared to GPT-4.1's 77/100 (rank #92), giving it a 8-point advantage. GPT-5.3-Codex is the stronger overall choice, though GPT-4.1 may excel in specific areas like cost efficiency.
GPT-4.1 is ranked #92 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-4.1 is cheaper at $8.00/M output tokens vs GPT-5.3-Codex's $14.00/M output tokens - 1.8x more expensive. Input token pricing: GPT-4.1 at $2.00/M vs GPT-5.3-Codex at $1.75/M.
GPT-4.1 has a larger context window of 1,047,576 tokens compared to GPT-5.3-Codex's 400,000 tokens. A larger context window means the model can process longer documents and conversations.