Gemini 3 Pro vs Mercury 3
Gemini 3 Pro and Mercury 3 are closely matched at 38.3 and 36.1 on the LLM Stats Score. Mercury 3 is 27.7x cheaper per token.
Google · Inception · Updated for 2026
Which is better?
Gemini 3 Pro and Mercury 3 are closely matched on the overall LLM Stats Score at 38.3 and 36.1.
In the 1 individual benchmarks reported for both models, Gemini 3 Pro wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Mercury 3 is roughly 27.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3 Pro 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 3 Pro
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
Choose Mercury 3
- cost matters — it's about 27.7x cheaper per token
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
21 reported for Gemini 3 Pro · 12 for Mercury 3
Gemini 3 Pro outperforms in 1 benchmarks (GPQA), while Mercury 3 is better at 0 benchmarks.
Gemini 3 Pro significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3 Pro ($2.00/1M tokens) is 20.0x more expensive than Mercury 3 ($0.10/1M tokens).
For output processing, Gemini 3 Pro ($12.00/1M tokens) is 34.3x more expensive than Mercury 3 ($0.35/1M tokens).
In conclusion, Gemini 3 Pro 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 3 Pro accepts 1,048,576 input tokens compared to Mercury 3's 1,000,000 tokens. Mercury 3 can generate longer responses up to 131,072 tokens, while Gemini 3 Pro is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 3 Pro supports multimodal inputs, whereas Mercury 3 does not.
Gemini 3 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3 Pro
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 3 Pro was released on 2025-11-18, while Mercury 3 was released on 2026-10-19.
Mercury 3 is 11 months newer than Gemini 3 Pro.
Nov 18, 2025
11 months ago
Oct 19, 2026
1 days ago
11mo newerKnowledge Cutoff
When training data ends
Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while Mercury 3's cutoff date is not specified.
We can confirm Gemini 3 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Mercury 3's cutoff date.
Jan 2025
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Provider Availability
Gemini 3 Pro is available from Google. Mercury 3 is available from Inception.
Gemini 3 Pro
Mercury 3
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3 Pro and Mercury 3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3 Pro vs Mercury 3.