| Signal | Claude 3.7 Sonnet | Delta | GPT-5.3-Codex |
|---|---|---|---|
Capabilities | 83 | -17 | |
Benchmarks | 80 | +80 | |
Pricing | 15 | +1 | |
Context window size | 84 | -5 | |
Recency | 62 | -38 | |
Output Capacity | 80 | -5 | |
| Overall Result | 2 wins | of 6 | 4 wins |
0
days ranked higher
0
days
30
days ranked higher
Anthropic
OpenAI
GPT-5.3-Codex saves you $175.00/month
That's $2100.00/year compared to Claude 3.7 Sonnet at your current usage level of 100K calls/month.
| Metric | Claude 3.7 Sonnet | GPT-5.3-Codex | Winner |
|---|---|---|---|
| Overall Score | 77 | 85 | GPT-5.3-Codex |
| Rank | #95 | #29 | GPT-5.3-Codex |
| Quality Rank | #95 | #29 | GPT-5.3-Codex |
| Adoption Rank | #95 | #29 | GPT-5.3-Codex |
| Parameters | -- | -- | -- |
| Context Window | 200K | 400K | GPT-5.3-Codex |
| Pricing | $3.00/$15.00/M | $1.75/$14.00/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 100 | GPT-5.3-Codex |
| Benchmarks | 80 | -- | Claude 3.7 Sonnet |
| Pricing | 15 | 14 | Claude 3.7 Sonnet |
| Context window size | 84 | 89 | GPT-5.3-Codex |
| Recency | 62 | 100 | GPT-5.3-Codex |
| 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 77/100 (rank #95), placing it in the top 68% 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-5.3-Codex offers 13% better value per quality point. At 1M tokens/day, you'd spend $236.25/month with GPT-5.3-Codex vs $270.00/month with Claude 3.7 Sonnet - a $33.75 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 has a moderate advantage with a 7.799999999999997-point lead in composite score. It wins on more signal dimensions, but Claude 3.7 Sonnet has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Claude 3.7 Sonnet
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-5.3-Codex
13% lower pricing; better value at scale
Best for Reliability
Claude 3.7 Sonnet
Higher uptime and faster response speeds
Best for Prototyping
Claude 3.7 Sonnet
Stronger community support and better developer experience
Best for Production
Claude 3.7 Sonnet
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude 3.7 Sonnet | GPT-5.3-Codex |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Anthropic
OpenAI
GPT-5.3-Codex saves you $3.45/month
That's 15% cheaper than Claude 3.7 Sonnet 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 | Claude 3.7 Sonnet | GPT-5.3-Codex |
|---|---|---|
| Context Window | 200K | 400K |
| Max Output Tokens | 64,000 | 128,000 |
| Open Source | No | No |
| Created | Feb 24, 2025 | Feb 24, 2026 |
GPT-5.3-Codex scores 85/100 (rank #29) compared to Claude 3.7 Sonnet's 77/100 (rank #95), giving it a 8-point advantage. GPT-5.3-Codex is the stronger overall choice, though Claude 3.7 Sonnet may excel in specific areas like certain benchmarks.
Claude 3.7 Sonnet is ranked #95 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 Claude 3.7 Sonnet's $15.00/M output tokens - 1.1x more expensive. Input token pricing: Claude 3.7 Sonnet at $3.00/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 Claude 3.7 Sonnet's 200,000 tokens. A larger context window means the model can process longer documents and conversations.