The AI arena is free today

Open Superagent

Gemini Diffusion vs Mercury 2

Mercury 2 leads the LLM Stats Score 23.7 to 1.0.

Google · Inception · Updated for 2026

Which is better?

Mercury 2 leads the overall LLM Stats Score 23.7 to 1.0, ranking #164 overall.

In the 3 individual benchmarks reported for both models, Mercury 2 wins 3; 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 Diffusion

  • you are already invested in the Google ecosystem

Choose Mercury 2

  • overall performance matters — it scores 23.7 and ranks #164 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Feb 2026

At a glance

The differences that matter most.

Core performance indexes
1.0
#311
23.7
#164
1.0
#301
22.8
#158
3.0
#213
12.7
#136
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
— / M
$0.25 / M
Output price
— / M
$0.75 / M
Context window
128,000

Individual benchmarks

10 reported for Gemini Diffusion · 6 for Mercury 2

3 shared

Gemini Diffusion outperforms in 0 benchmarks, while Mercury 2 is better at 3 benchmarks (AIME 2025, GPQA, LiveCodeBench).

Mercury 2 significantly outperforms across most benchmarks.

Fri Sep 04 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 Diffusion
Input- tokens
Output- tokens
Inception
Mercury 2
Input128,000 tokens
Output8,192 tokens
Fri Sep 04 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini Diffusion

Proprietary

Closed source

Mercury 2

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini Diffusion was released on 2025-05-20, while Mercury 2 was released on 2026-02-24.

Mercury 2 is 9 months newer than Gemini Diffusion.

Gemini Diffusion

May 20, 2025

1.3 years ago

Mercury 2

Feb 24, 2026

6 months ago

9mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

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

Gemini Diffusion
✓ Preferred
Mercury 2
Open in Playground

FAQ

Common questions about Gemini Diffusion vs Mercury 2.

Which is better, Gemini Diffusion or Mercury 2?

Mercury 2 leads the LLM Stats Score 23.7 to 1.0. Gemini Diffusion 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 Diffusion compare to Mercury 2 in benchmarks?

Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%. 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 Diffusion and Mercury 2?

Gemini Diffusion 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 Diffusion and Mercury 2?

Key differences include LLM Stats Score (1.0 vs 23.7). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini Diffusion and Mercury 2?

Gemini Diffusion is developed by Google and Mercury 2 is developed by Inception.