| Signal | GPT-5.4 Nano | Delta | Mercury 2 |
|---|---|---|---|
Capabilities | 100 | +33 | |
Pricing | 1 | +1 | |
Context window size | 89 | +8 | |
Recency | 100 | -- | |
Output Capacity | 85 | +7 | |
| Overall Result | 4 wins | of 5 | 0 wins |
26
days ranked higher
1
days
3
days ranked higher
OpenAI
Inception
Mercury 2 saves you $20.00/month
That's $240.00/year compared to GPT-5.4 Nano at your current usage level of 100K calls/month.
| Metric | GPT-5.4 Nano | Mercury 2 | Winner |
|---|---|---|---|
| Overall Score | 85 | 81 | GPT-5.4 Nano |
| Rank | #24 | #70 | GPT-5.4 Nano |
| Quality Rank | #24 | #70 | GPT-5.4 Nano |
| Adoption Rank | #24 | #70 | GPT-5.4 Nano |
| Parameters | -- | -- | -- |
| Context Window | 400K | 128K | GPT-5.4 Nano |
| Pricing | $0.20/$1.25/M | $0.25/$0.75/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | GPT-5.4 Nano |
| Pricing | 1 | 1 | GPT-5.4 Nano |
| Context window size | 89 | 81 | GPT-5.4 Nano |
| Recency | 100 | 100 | GPT-5.4 Nano |
| Output Capacity | 85 | 78 | GPT-5.4 Nano |
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 85/100 (rank #24), placing it in the top 92% of all 290 models tracked.
Scores 81/100 (rank #70), placing it in the top 76% of all 290 models tracked.
With only a 4-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 2 offers 31% better value per quality point. At 1M tokens/day, you'd spend $15.00/month with Mercury 2 vs $21.75/month with GPT-5.4 Nano - a $6.75 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. Mercury 2 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 ($0.75/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (85/100) 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-5.4 Nano has a moderate advantage with a 3.700000000000003-point lead in composite score. It wins on more signal dimensions, but Mercury 2 has specific strengths that could make it the better choice for certain workflows.
Best for Quality
GPT-5.4 Nano
Marginally better benchmark scores; both are excellent
Best for Cost
Mercury 2
31% lower pricing; better value at scale
Best for Reliability
GPT-5.4 Nano
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.4 Nano
Stronger community support and better developer experience
Best for Production
GPT-5.4 Nano
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.4 Nano | Mercury 2 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Inception
Mercury 2 saves you $0.5100/month
That's 27% cheaper than GPT-5.4 Nano 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-5.4 Nano | Mercury 2 |
|---|---|---|
| Context Window | 400K | 128K |
| Max Output Tokens | 128,000 | 50,000 |
| Open Source | No | No |
| Created | Mar 17, 2026 | Mar 4, 2026 |
GPT-5.4 Nano scores 85/100 (rank #24) compared to Mercury 2's 81/100 (rank #70), giving it a 4-point advantage. GPT-5.4 Nano is the stronger overall choice, though Mercury 2 may excel in specific areas like cost efficiency.
GPT-5.4 Nano is ranked #24 and Mercury 2 is ranked #70 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 2 is cheaper at $0.75/M output tokens vs GPT-5.4 Nano's $1.25/M output tokens - 1.7x more expensive. Input token pricing: GPT-5.4 Nano at $0.20/M vs Mercury 2 at $0.25/M.
GPT-5.4 Nano has a larger context window of 400,000 tokens compared to Mercury 2's 128,000 tokens. A larger context window means the model can process longer documents and conversations.