| Signal | GPT-5 | Delta | o3 |
|---|---|---|---|
Capabilities | 100 | -- | |
Benchmarks | 88 | 0 | |
Pricing | 10 | +2 | |
Context window size | 89 | +5 | |
Recency | 90 | +21 | |
Output Capacity | 85 | +2 | |
| Overall Result | 4 wins | of 6 | 1 wins |
8
days higher
7
days
15
days higher
OpenAI
OpenAI
o3 saves you $25.00/month
That's $300.00/year compared to GPT-5 at your current usage level of 100K calls/month.
| Metric | GPT-5 | o3 | Winner |
|---|---|---|---|
| Overall Score | 88 | 88 | -- |
| Rank | #8 | #10 | GPT-5 |
| Quality Rank | #8 | #10 | GPT-5 |
| Adoption Rank | #8 | #10 | GPT-5 |
| Parameters | -- | -- | -- |
| Context Window | 400K | 200K | GPT-5 |
| Pricing | $1.25/$10.00/M | $2.00/$8.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | GPT-5 |
| Benchmarks | 88 | 88 | o3 |
| Pricing | 10 | 8 | GPT-5 |
| Context window size | 89 | 84 | GPT-5 |
| Recency | 90 | 69 | GPT-5 |
| Output Capacity | 85 | 83 | GPT-5 |
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%). Here's what the scores mean for these two models:
Scores 88/100 (rank #8), placing it in the top 98% of all 290 models tracked.
Scores 88/100 (rank #10), placing it in the top 97% of all 290 models tracked.
With only a 0-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 11% better value per quality point. At 1M tokens/day, you'd spend $150.00/month with o3 vs $168.75/month with GPT-5 - a $18.75 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. o3 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 ($8.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (88/100) 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 and o3 are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-5
Marginally better benchmark scores; both are excellent
Best for Cost
o3
11% lower pricing; better value at scale
Best for Reliability
GPT-5
Higher uptime and faster response speeds
Best for Prototyping
GPT-5
Stronger community support and better developer experience
Best for Production
GPT-5
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5 | o3 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
OpenAI
o3 saves you $1.05/month
That's 7% cheaper than GPT-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 | GPT-5 | o3 |
|---|---|---|
| Context Window | 400K | 200K |
| Max Output Tokens | 128,000 | 100,000 |
| Open Source | No | No |
| Created | Aug 7, 2025 | Apr 16, 2025 |
Both GPT-5 and o3 score 88/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
GPT-5 is ranked #8 and o3 is ranked #10 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
o3 is cheaper at $8.00/M output tokens vs GPT-5's $10.00/M output tokens - 1.3x more expensive. Input token pricing: GPT-5 at $1.25/M vs o3 at $2.00/M.
GPT-5 has a larger context window of 400,000 tokens compared to o3's 200,000 tokens. A larger context window means the model can process longer documents and conversations.