| Signal | Claude Sonnet 4 | Delta | GPT-5.1-Codex-Max |
|---|---|---|---|
Capabilities | 83 | -17 | |
Pricing | 15 | +5 | |
Context window size | 84 | -5 | |
Recency | 79 | -21 | |
Output Capacity | 80 | -5 | |
| Overall Result | 1 wins | of 5 | 4 wins |
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Anthropic
OpenAI
GPT-5.1-Codex-Max saves you $425.00/month
That's $5100.00/year compared to Claude Sonnet 4 at your current usage level of 100K calls/month.
| Metric | Claude Sonnet 4 | GPT-5.1-Codex-Max | Winner |
|---|---|---|---|
| Overall Score | 82 | 96 | GPT-5.1-Codex-Max |
| Rank | #66 | #12 | GPT-5.1-Codex-Max |
| Quality Rank | #66 | #12 | GPT-5.1-Codex-Max |
| Adoption Rank | #66 | #12 | GPT-5.1-Codex-Max |
| Parameters | -- | -- | -- |
| Context Window | 200K | 400K | GPT-5.1-Codex-Max |
| Pricing | $3.00/$15.00/M | $1.25/$10.00/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 100 | GPT-5.1-Codex-Max |
| Pricing | 15 | 10 | Claude Sonnet 4 |
| Context window size | 84 | 89 | GPT-5.1-Codex-Max |
| Recency | 79 | 100 | GPT-5.1-Codex-Max |
| Output Capacity | 80 | 85 | GPT-5.1-Codex-Max |
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 82/100 (rank #66), placing it in the top 78% of all 290 models tracked.
Scores 96/100 (rank #12), placing it in the top 96% of all 290 models tracked.
GPT-5.1-Codex-Max has a 13-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
GPT-5.1-Codex-Max offers 38% better value per quality point. At 1M tokens/day, you'd spend $168.75/month with GPT-5.1-Codex-Max vs $270.00/month with Claude Sonnet 4 — a $101.25 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-5.1-Codex-Max 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 (96/100) 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-5.1-Codex-Max clearly outperforms Claude Sonnet 4 with a significant 13.400000000000006-point lead. For most general use cases, GPT-5.1-Codex-Max is the stronger choice. However, Claude Sonnet 4 may still excel in niche scenarios.
Best for Quality
Claude Sonnet 4
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-5.1-Codex-Max
38% lower pricing; better value at scale
Best for Reliability
Claude Sonnet 4
Higher uptime and faster response speeds
Best for Prototyping
Claude Sonnet 4
Stronger community support and better developer experience
Best for Production
Claude Sonnet 4
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Sonnet 4 | GPT-5.1-Codex-Max |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Anthropic
OpenAI
GPT-5.1-Codex-Max saves you $9.15/month
That's 39% cheaper than Claude Sonnet 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 | Claude Sonnet 4 | GPT-5.1-Codex-Max |
|---|---|---|
| Context Window | 200K | 400K |
| Max Output Tokens | 64,000 | 128,000 |
| Open Source | No | No |
| Created | May 22, 2025 | Dec 4, 2025 |
GPT-5.1-Codex-Max scores 96/100 (rank #12) compared to Claude Sonnet 4's 82/100 (rank #66), giving it a 13-point advantage. GPT-5.1-Codex-Max is the stronger overall choice, though Claude Sonnet 4 may excel in specific areas like certain benchmarks.
Claude Sonnet 4 is ranked #66 and GPT-5.1-Codex-Max is ranked #12 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-5.1-Codex-Max is cheaper at $10.00/M output tokens vs Claude Sonnet 4's $15.00/M output tokens — 1.5x more expensive. Input token pricing: Claude Sonnet 4 at $3.00/M vs GPT-5.1-Codex-Max at $1.25/M.
GPT-5.1-Codex-Max has a larger context window of 400,000 tokens compared to Claude Sonnet 4's 200,000 tokens. A larger context window means the model can process longer documents and conversations.