DeepSeek-V4-Flash-Vision-Exp vs Mercury 3
DeepSeek-V4-Flash-Vision-Exp leads the LLM Stats Score 44.2 to 36.1. Mercury 3 is 2.0x cheaper per token.
DeepSeek · Inception · Updated for 2026
Which is better?
DeepSeek-V4-Flash-Vision-Exp leads the overall LLM Stats Score 44.2 to 36.1, ranking #52 overall.
On price, Mercury 3 is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-Vision-Exp 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 LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Flash-Vision-Exp
- overall performance matters — it scores 44.2 and ranks #52 on LLM Stats
- your work emphasizes agents — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
Choose Mercury 3
- cost matters — it's about 2.0x cheaper per token
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
7 reported for DeepSeek-V4-Flash-Vision-Exp · 12 for Mercury 3
DeepSeek-V4-Flash-Vision-Exp and Mercury 3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-Vision-Exp ($0.22/1M tokens) is 2.2x more expensive than Mercury 3 ($0.10/1M tokens).
For output processing, DeepSeek-V4-Flash-Vision-Exp ($0.66/1M tokens) is 1.9x more expensive than Mercury 3 ($0.35/1M tokens).
In conclusion, DeepSeek-V4-Flash-Vision-Exp is more expensive than Mercury 3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-Vision-Exp accepts 1,048,576 input tokens compared to Mercury 3's 1,000,000 tokens. DeepSeek-V4-Flash-Vision-Exp can generate longer responses up to 393,216 tokens, while Mercury 3 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
DeepSeek-V4-Flash-Vision-Exp supports multimodal inputs, whereas Mercury 3 does not.
DeepSeek-V4-Flash-Vision-Exp can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-Vision-Exp
Mercury 3
Release Timeline
When each model was launched
DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while Mercury 3 was released on 2026-10-19.
Mercury 3 is 2 months newer than DeepSeek-V4-Flash-Vision-Exp.
Aug 21, 2026
1 months ago
Oct 19, 2026
0 days ago
1mo newerKnowledge 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-Flash-Vision-Exp is available from DeepSeek, DeepInfra. Mercury 3 is available from Inception.
DeepSeek-V4-Flash-Vision-Exp
Mercury 3
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Vision-Exp and Mercury 3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-Vision-Exp vs Mercury 3.
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