| Signal | Claude Sonnet 4.6 | Delta | o3 |
|---|---|---|---|
Capabilities | 100 | -- | |
Benchmarks | 82 | -6 | |
Pricing | 85 | -7 | |
Context window size | 95 | +11 | |
Recency | 100 | +38 | |
Output Capacity | 85 | +2 | |
| Overall Result | 3 wins | of 6 | 2 wins |
Score History
85.2
current score
o3
right now
86.7
current score
Anthropic
OpenAI
o3 saves you $450.00/month
That's $5400.00/year compared to Claude Sonnet 4.6 at your current usage level of 100K calls/month.
| Metric | Claude Sonnet 4.6 | o3 | Winner |
|---|---|---|---|
| Overall Score | 85 | 87 | o3 |
| Rank | #25 | #23 | o3 |
| Quality Rank | #25 | #23 | o3 |
| Adoption Rank | #25 | #23 | o3 |
| Parameters | -- | -- | -- |
| Context Window | 1000K | 200K | Claude Sonnet 4.6 |
| Pricing | $3.00/$15.00/M | $2.00/$8.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | Claude Sonnet 4.6 |
| Benchmarks | 82 | 88 | o3 |
| Pricing | 85 | 92 | o3 |
| Context window size | 95 | 84 | Claude Sonnet 4.6 |
| Recency | 100 | 62 | Claude Sonnet 4.6 |
| Output Capacity | 85 | 83 | Claude Sonnet 4.6 |
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 #25), placing it in the top 92% of all 290 models tracked.
Scores 87/100 (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.
o3 offers 44% better value per quality point. At 1M tokens/day, you'd spend $150.00/month with o3 vs $270.00/month with Claude Sonnet 4.6 - a $120.00 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. o3 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($8.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (87/100) 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 Sonnet 4.6 and o3 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 Sonnet 4.6
Marginally better benchmark scores; both are excellent
Best for Cost
o3
44% lower pricing; better value at scale
Best for Reliability
Claude Sonnet 4.6
Higher uptime and faster response speeds
Best for Prototyping
Claude Sonnet 4.6
Stronger community support and better developer experience
Best for Production
Claude Sonnet 4.6
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Sonnet 4.6 | o3 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Anthropic
OpenAI
o3 saves you $10.20/month
That's 44% cheaper than Claude Sonnet 4.6 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 4.6 | o3 |
|---|---|---|
| Context Window | 1M | 200K |
| Max Output Tokens | 128,000 | 100,000 |
| Open Source | No | No |
| Created | Feb 17, 2026 | Apr 16, 2025 |