| Signal | Claude Opus 4.7 | Delta | GPT-5.5 |
|---|---|---|---|
Capabilities | 100 | -- | |
Benchmarks | 93 | +1 | |
Pricing | 75 | +5 | |
Context window size | 95 | 0 | |
Recency | 100 | -- | |
Output Capacity | 85 | -- | |
| Overall Result | 2 wins | of 6 | 1 wins |
Score History
95.1
current score
Claude Opus 4.7
right now
92.7
current score
Anthropic
OpenAI
Claude Opus 4.7 saves you $250.00/month
That's $3000.00/year compared to GPT-5.5 at your current usage level of 100K calls/month.
| Metric | Claude Opus 4.7 | GPT-5.5 | Winner |
|---|---|---|---|
| Overall Score | 95 | 93 | Claude Opus 4.7 |
| Rank | #1 | #2 | Claude Opus 4.7 |
| Quality Rank | #1 | #2 | Claude Opus 4.7 |
| Adoption Rank | #1 | #2 | Claude Opus 4.7 |
| Parameters | -- | -- | -- |
| Context Window | 1000K | 1050K | GPT-5.5 |
| Pricing | $5.00/$25.00/M | $5.00/$30.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | Claude Opus 4.7 |
| Benchmarks | 93 | 93 | Claude Opus 4.7 |
| Pricing | 75 | 70 | Claude Opus 4.7 |
| Context window size | 95 | 96 | GPT-5.5 |
| Recency | 100 | 100 | Claude Opus 4.7 |
| Output Capacity | 85 | 85 | Claude Opus 4.7 |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 95/100 (rank #1), placing it in the top 100% of all 290 models tracked.
Scores 93/100 (rank #2), placing it in the top 100% of all 290 models tracked.
With only a 2-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.
Claude Opus 4.7 offers 14% better value per quality point. At 1M tokens/day, you'd spend $450.00/month with Claude Opus 4.7 vs $525.00/month with GPT-5.5 - a $75.00 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Claude Opus 4.7 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 ($25.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (95/100) 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
Claude Opus 4.7 and GPT-5.5 are extremely close in overall performance (only 2.3999999999999915 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Claude Opus 4.7
Marginally better benchmark scores; both are excellent
Best for Cost
Claude Opus 4.7
14% lower pricing; better value at scale
Best for Reliability
Claude Opus 4.7
Higher uptime and faster response speeds
Best for Prototyping
Claude Opus 4.7
Stronger community support and better developer experience
Best for Production
Claude Opus 4.7
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Opus 4.7 | GPT-5.5 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Anthropic
OpenAI
Claude Opus 4.7 saves you $6.00/month
That's 13% cheaper than GPT-5.5 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 Opus 4.7 | GPT-5.5 |
|---|---|---|
| Context Window | 1M | 1.1M |
| Max Output Tokens | 128,000 | 128,000 |
| Open Source | No | No |
| Created | Apr 16, 2026 | Apr 24, 2026 |