| Signal | GPT-4o Search Preview | Delta | Mercury |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 10 | +9 | |
Context window size | 81 | -- | |
Recency | 63 | -19 | |
Output Capacity | 70 | -5 | |
Benchmarks | 0 | -54 | |
| Overall Result | 1 wins | of 6 | 3 wins |
10
days higher
3
days
17
days higher
OpenAI
Inception
Mercury saves you $687.50/month
That's $8250.00/year compared to GPT-4o Search Preview at your current usage level of 100K calls/month.
| Metric | GPT-4o Search Preview | Mercury | Winner |
|---|---|---|---|
| Overall Score | 63 | 63 | GPT-4o Search Preview |
| Rank | #206 | #208 | GPT-4o Search Preview |
| Quality Rank | #206 | #208 | GPT-4o Search Preview |
| Adoption Rank | #206 | #208 | GPT-4o Search Preview |
| Parameters | -- | -- | -- |
| Context Window | 128K | 128K | -- |
| Pricing | $2.50/$10.00/M | $0.25/$0.75/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | GPT-4o Search Preview |
| Pricing | 10 | 1 | GPT-4o Search Preview |
| Context window size | 81 | 81 | GPT-4o Search Preview |
| Recency | 63 | 82 | Mercury |
| Output Capacity | 70 | 75 | Mercury |
| Benchmarks | -- | 55 | Mercury |
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 63/100 (rank #206), placing it in the top 29% of all 290 models tracked.
Scores 63/100 (rank #208), placing it in the top 29% 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.
Mercury offers 92% better value per quality point. At 1M tokens/day, you'd spend $15.00/month with Mercury vs $187.50/month with GPT-4o Search Preview - a $172.50 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. Mercury also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (128K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.75/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (63/100) correlates with better nuance, coherence, and style in long-form content
GPT-4o Search Preview and Mercury are extremely close in overall performance (only 0.10000000000000142 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4o Search Preview
Marginally better benchmark scores; both are excellent
Best for Cost
Mercury
92% lower pricing; better value at scale
Best for Reliability
GPT-4o Search Preview
Higher uptime and faster response speeds
Best for Prototyping
GPT-4o Search Preview
Stronger community support and better developer experience
Best for Production
GPT-4o Search Preview
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4o Search Preview | Mercury |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Inception
Mercury saves you $15.15/month
That's 92% cheaper than GPT-4o Search Preview 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-4o Search Preview | Mercury |
|---|---|---|
| Context Window | 128K | 128K |
| Max Output Tokens | 16,384 | 32,000 |
| Open Source | No | No |
| Created | Mar 12, 2025 | Jun 26, 2025 |
GPT-4o Search Preview scores 63/100 (rank #206) compared to Mercury's 63/100 (rank #208), giving it a 0-point advantage. GPT-4o Search Preview is the stronger overall choice, though Mercury may excel in specific areas like cost efficiency.
GPT-4o Search Preview is ranked #206 and Mercury is ranked #208 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.
Mercury is cheaper at $0.75/M output tokens vs GPT-4o Search Preview's $10.00/M output tokens - 13.3x more expensive. Input token pricing: GPT-4o Search Preview at $2.50/M vs Mercury at $0.25/M.
GPT-4o Search Preview has a larger context window of 128,000 tokens compared to Mercury's 128,000 tokens. A larger context window means the model can process longer documents and conversations.