| Signal | Claude Opus 4.5 | Delta | o3 Pro |
|---|---|---|---|
Capabilities | 100 | -- | |
Benchmarks | 89 | +89 | |
Pricing | 25 | -55 | |
Context window size | 84 | -- | |
Recency | 100 | +18 | |
Output Capacity | 80 | -3 | |
| Overall Result | 2 wins | of 6 | 2 wins |
13
days ranked higher
7
days
10
days ranked higher
Anthropic
OpenAI
Claude Opus 4.5 saves you $4250.00/month
That's $51000.00/year compared to o3 Pro at your current usage level of 100K calls/month.
| Metric | Claude Opus 4.5 | o3 Pro | Winner |
|---|---|---|---|
| Overall Score | 92 | 91 | Claude Opus 4.5 |
| Rank | #21 | #23 | Claude Opus 4.5 |
| Quality Rank | #21 | #23 | Claude Opus 4.5 |
| Adoption Rank | #21 | #23 | Claude Opus 4.5 |
| Parameters | -- | -- | -- |
| Context Window | 200K | 200K | -- |
| Pricing | $5.00/$25.00/M | $20.00/$80.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | Claude Opus 4.5 |
| Benchmarks | 89 | -- | Claude Opus 4.5 |
| Pricing | 25 | 80 | o3 Pro |
| Context window size | 84 | 84 | Claude Opus 4.5 |
| Recency | 100 | 82 | Claude Opus 4.5 |
| Output Capacity | 80 | 83 | o3 Pro |
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 92/100 (rank #21), placing it in the top 93% of all 290 models tracked.
Scores 91/100 (rank #23), placing it in the top 92% 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 70% better value per quality point. At 1M tokens/day, you'd spend $450.00/month with Claude Opus 4.5 vs $1500.00/month with o3 Pro — a $1050.00 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
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. 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 (92/100) 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 Pro are extremely close in overall performance (only 1.5 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
70% 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 Pro |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Anthropic
OpenAI
Claude Opus 4.5 saves you $93.00/month
That's 70% cheaper than o3 Pro 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 Pro |
|---|---|---|
| Context Window | 200K | 200K |
| Max Output Tokens | 64,000 | 100,000 |
| Open Source | No | No |
| Created | Nov 24, 2025 | Jun 10, 2025 |
Claude Opus 4.5 scores 92/100 (rank #21) compared to o3 Pro's 91/100 (rank #23), giving it a 2-point advantage. Claude Opus 4.5 is the stronger overall choice, though o3 Pro may excel in specific areas like certain benchmarks.
Claude Opus 4.5 is ranked #21 and o3 Pro is ranked #23 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.
Claude Opus 4.5 is cheaper at $25.00/M output tokens vs o3 Pro's $80.00/M output tokens — 3.2x more expensive. Input token pricing: Claude Opus 4.5 at $5.00/M vs o3 Pro at $20.00/M.
Claude Opus 4.5 has a larger context window of 200,000 tokens compared to o3 Pro's 200,000 tokens. A larger context window means the model can process longer documents and conversations.