| Signal | Claude Opus 4 | Delta | Mercury 2 |
|---|---|---|---|
Capabilities | 83 | +17 | |
Benchmarks | 83 | +83 | |
Pricing | 75 | +74 | |
Context window size | 84 | +3 | |
Recency | 76 | -24 | |
Output Capacity | 75 | -3 | |
| Overall Result | 4 wins | of 6 | 2 wins |
9
days higher
6
days
15
days higher
Anthropic
Inception
Mercury 2 saves you $5187.50/month
That's $62250.00/year compared to Claude Opus 4 at your current usage level of 100K calls/month.
| Metric | Claude Opus 4 | Mercury 2 | Winner |
|---|---|---|---|
| Overall Score | 81 | 81 | Claude Opus 4 |
| Rank | #75 | #76 | Claude Opus 4 |
| Quality Rank | #75 | #76 | Claude Opus 4 |
| Adoption Rank | #75 | #76 | Claude Opus 4 |
| Parameters | -- | -- | -- |
| Context Window | 200K | 128K | Claude Opus 4 |
| Pricing | $15.00/$75.00/M | $0.25/$0.75/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 67 | Claude Opus 4 |
| Benchmarks | 83 | -- | Claude Opus 4 |
| Pricing | 75 | 1 | Claude Opus 4 |
| Context window size | 84 | 81 | Claude Opus 4 |
| Recency | 76 | 100 | Mercury 2 |
| Output Capacity | 75 | 78 | Mercury 2 |
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 81/100 (rank #75), placing it in the top 74% of all 290 models tracked.
Scores 81/100 (rank #76), placing it in the top 74% 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 2 offers 99% better value per quality point. At 1M tokens/day, you'd spend $15.00/month with Mercury 2 vs $1350.00/month with Claude Opus 4 - a $1335.00 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. Mercury 2 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 ($0.75/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (81/100) 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 and Mercury 2 are extremely close in overall performance (only 0.10000000000000853 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Claude Opus 4
Marginally better benchmark scores; both are excellent
Best for Cost
Mercury 2
99% lower pricing; better value at scale
Best for Reliability
Claude Opus 4
Higher uptime and faster response speeds
Best for Prototyping
Claude Opus 4
Stronger community support and better developer experience
Best for Production
Claude Opus 4
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Opus 4 | Mercury 2 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
Anthropic
Inception
Mercury 2 saves you $115.65/month
That's 99% cheaper than Claude Opus 4 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 | Mercury 2 |
|---|---|---|
| Context Window | 200K | 128K |
| Max Output Tokens | 32,000 | 50,000 |
| Open Source | No | No |
| Created | May 22, 2025 | Mar 4, 2026 |
Claude Opus 4 scores 81/100 (rank #75) compared to Mercury 2's 81/100 (rank #76), giving it a 0-point advantage. Claude Opus 4 is the stronger overall choice, though Mercury 2 may excel in specific areas like cost efficiency.
Claude Opus 4 is ranked #75 and Mercury 2 is ranked #76 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 Claude Opus 4's $75.00/M output tokens - 100.0x more expensive. Input token pricing: Claude Opus 4 at $15.00/M vs Mercury 2 at $0.25/M.
Claude Opus 4 has a larger context window of 200,000 tokens compared to Mercury 2's 128,000 tokens. A larger context window means the model can process longer documents and conversations.