| Signal | Claude Opus 4.5 | Delta | o3 Deep Research |
|---|---|---|---|
Capabilities | 100 | -- | |
Benchmarks | 85 | -4 | |
Pricing | 75 | +15 | |
Context window size | 76 | -- | |
Recency | 94 | +8 | |
Output Capacity | 80 | -3 | |
| Overall Result | 2 wins | of 6 | 2 wins |
Score History
84.7
current score
o3 Deep Research
right now
86.3
current score
Anthropic
OpenAI
Claude Opus 4.5 saves you $1250.00/month
That's $15000.00/year compared to o3 Deep Research at your current usage level of 100K calls/month.
| Metric | Claude Opus 4.5 | o3 Deep Research | Winner |
|---|---|---|---|
| Overall Score | 85 | 86 | o3 Deep Research |
| Rank | #35 | #29 | o3 Deep Research |
| Quality Rank | #35 | #29 | o3 Deep Research |
| Adoption Rank | #35 | #29 | o3 Deep Research |
| Parameters | -- | -- | -- |
| Context Window | 200K | 200K | -- |
| Pricing | $5.00/$25.00/M | $10.00/$40.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | Claude Opus 4.5 |
| Benchmarks | 85 | 88 | o3 Deep Research |
| Pricing | 75 | 60 | Claude Opus 4.5 |
| Context window size | 76 | 76 | Claude Opus 4.5 |
| Recency | 94 | 86 | Claude Opus 4.5 |
| Output Capacity | 80 | 83 | o3 Deep Research |
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 85/100 (rank #35), placing it in the top 88% of all 290 models tracked.
Scores 86/100 (rank #29), placing it in the top 90% 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 4.5 offers 40% better value per quality point. At 1M tokens/day, you'd spend $450.00/month with Claude Opus 4.5 vs $750.00/month with o3 Deep Research - a $300.00 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 4.5 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (200K 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 (86/100) 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 4.5 and o3 Deep Research are extremely close in overall performance (only 1.5999999999999943 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Claude Opus 4.5
Marginally better benchmark scores; both are excellent
Best for Cost
Claude Opus 4.5
40% lower pricing; better value at scale
Best for Reliability
Claude Opus 4.5
Higher uptime and faster response speeds
Best for Prototyping
Claude Opus 4.5
Stronger community support and better developer experience
Best for Production
Claude Opus 4.5
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Opus 4.5 | o3 Deep Research |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Anthropic
OpenAI
Claude Opus 4.5 saves you $27.00/month
That's 41% cheaper than o3 Deep Research 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 4.5 | o3 Deep Research |
|---|---|---|
| Context Window | 200K | 200K |
| Max Output Tokens | 64,000 | 100,000 |
| Open Source | No | No |
| Created | Nov 24, 2025 | Oct 10, 2025 |