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Gemini 2.0 Flash Thinking vs Mercury 2

Gemini 2.0 Flash Thinking and Mercury 2 are closely matched at 16.7 and 23.5 on the LLM Stats Score.

Google · Inception · Updated for 2026

Which is better?

Gemini 2.0 Flash Thinking and Mercury 2 are closely matched on the overall LLM Stats Score at 16.7 and 23.5.

In the 1 individual benchmarks reported for both models, Gemini 2.0 Flash Thinking wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 2.0 Flash Thinking

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

Choose Mercury 2

  • you want the most recent training data — it shipped Feb 2026

At a glance

The differences that matter most.

Core performance indexes
16.7
#235
23.5
#190
17.0
#228
22.6
#184
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.25 / M
Output price
— / M
$0.75 / M
Context window
—
128,000

Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 6 for Mercury 2

1 shared

Gemini 2.0 Flash Thinking outperforms in 1 benchmarks (GPQA), while Mercury 2 is better at 0 benchmarks.

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Sun Oct 11 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Mercury 2 specifies input context (128,000 tokens). Only Mercury 2 specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Inception
Mercury 2
Input128,000 tokens
Output8,192 tokens
Sun Oct 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 2.0 Flash Thinking supports multimodal inputs, whereas Mercury 2 does not.

Gemini 2.0 Flash Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

Mercury 2

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 2.0 Flash Thinking

Proprietary

Closed source

Mercury 2

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while Mercury 2 was released on 2026-02-24.

Mercury 2 is 13 months newer than Gemini 2.0 Flash Thinking.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.7 years ago

Mercury 2

Feb 24, 2026

7 months ago

1.1yr newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while Mercury 2's cutoff date is not specified.

We can confirm Gemini 2.0 Flash Thinking's training data extends to 2024-08-01, but cannot make a direct comparison without Mercury 2's cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

Mercury 2

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash Thinking and Mercury 2 side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
Mercury 2
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Mercury 2.

Which is better, Gemini 2.0 Flash Thinking or Mercury 2?

Gemini 2.0 Flash Thinking and Mercury 2 are closely matched on the LLM Stats Score at 16.7 and 23.5. Gemini 2.0 Flash Thinking is made by Google and Mercury 2 is made by Inception. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 2.0 Flash Thinking compare to Mercury 2 in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. Mercury 2 scores AIME 2025: 91.1%, GPQA: 74.0%, IFBench: 71.0%, LiveCodeBench: 67.0%, Tau2 Airline: 53.0%.

What are the context window sizes for Gemini 2.0 Flash Thinking and Mercury 2?

Gemini 2.0 Flash Thinking supports an unknown number of tokens and Mercury 2 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.0 Flash Thinking and Mercury 2?

Key differences include LLM Stats Score (16.7 vs 23.5), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and Mercury 2?

Gemini 2.0 Flash Thinking is developed by Google and Mercury 2 is developed by Inception.