DeepSeek-V4-Pro-0813 vs Mercury 2
Comparing DeepSeek-V4-Pro-0813 and Mercury 2 across benchmarks, pricing, and capabilities.
DeepSeek · Inception · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 and Mercury 2 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Mercury 2 is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Pro-0813 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-0813
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
- you need open weights you can self-host or fine-tune
Choose Mercury 2
- cost matters — it's about 1.4x cheaper per token
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Pro-0813 and Mercury 2don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Pro-0813 ($0.43/1M tokens) is 1.7x more expensive than Mercury 2 ($0.25/1M tokens).
For output processing, DeepSeek-V4-Pro-0813 ($0.87/1M tokens) is 1.2x more expensive than Mercury 2 ($0.75/1M tokens).
In conclusion, DeepSeek-V4-Pro-0813 is more expensive than Mercury 2.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Pro-0813 accepts 1,048,576 input tokens compared to Mercury 2's 128,000 tokens. DeepSeek-V4-Pro-0813 can generate longer responses up to 393,216 tokens, while Mercury 2 is limited to 8,192 tokens.
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 is licensed under MIT, while Mercury 2 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Mercury 2 was released on 2026-02-24.
DeepSeek-V4-Pro-0813 is 6 months newer than Mercury 2.
Aug 13, 2026
1 weeks ago
5mo newerFeb 24, 2026
6 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Pro-0813 is available from DeepSeek, DeepInfra, Novita, Together. Mercury 2 is available from Inception.
DeepSeek-V4-Pro-0813
Mercury 2
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and Mercury 2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs Mercury 2.