Gemini 4 Argon vs Mercury 3
Gemini 4 Argon leads the LLM Stats Score 55.1 to 36.1. Mercury 3 is 24.6x cheaper per token.
Google · Inception · Updated for 2026
Which is better?
Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 36.1, ranking #4 overall.
On price, Mercury 3 is roughly 24.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 4 Argon 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 Gemini 4 Argon
- overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
- your work emphasizes reasoning and 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 24.6x cheaper per token
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for Gemini 4 Argon · 12 for Mercury 3
Gemini 4 Argon 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, Gemini 4 Argon ($2.00/1M tokens) is 20.0x more expensive than Mercury 3 ($0.10/1M tokens).
For output processing, Gemini 4 Argon ($10.00/1M tokens) is 28.6x more expensive than Mercury 3 ($0.35/1M tokens).
In conclusion, Gemini 4 Argon is more expensive than Mercury 3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 4 Argon accepts 1,048,576 input tokens compared to Mercury 3's 1,000,000 tokens. Gemini 4 Argon can generate longer responses up to 1,048,576 tokens, while Mercury 3 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 4 Argon supports multimodal inputs, whereas Mercury 3 does not.
Gemini 4 Argon can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 4 Argon
Mercury 3
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 4 Argon was released on 2026-09-30, while Mercury 3 was released on 2026-10-19.
Mercury 3 is 1 month newer than Gemini 4 Argon.
Sep 30, 2026
2 weeks ago
Oct 19, 2026
0 days ago
2w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Gemini 4 Argon is available from Google. Mercury 3 is available from Inception.
Gemini 4 Argon
Mercury 3
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 4 Argon and Mercury 3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 4 Argon vs Mercury 3.