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MAI-Code-1-Flash vs Mercury 3

Mercury 3 leads the LLM Stats Score 36.1 to 28.6.

Microsoft · Inception · Updated for 2026

Which is better?

Mercury 3 leads the overall LLM Stats Score 36.1 to 28.6, ranking #98 overall.

In the 2 individual benchmarks reported for both models, Mercury 3 wins 2; 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 MAI-Code-1-Flash

  • you are already invested in the Microsoft ecosystem

Choose Mercury 3

  • overall performance matters — it scores 36.1 and ranks #98 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
28.6
#155
36.1
#98
28.2
#152
34.8
#103
19.0
#127
21.5
#105
11.1
#134
19.4
#84
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$0.10 / M
Output price
— / M
$0.35 / M
Context window
—
1,000,000

Individual benchmarks

15 reported for MAI-Code-1-Flash · 12 for Mercury 3

2 shared

MAI-Code-1-Flash outperforms in 0 benchmarks, while Mercury 3 is better at 2 benchmarks (GPQA, IFBench).

Mercury 3 significantly outperforms across most benchmarks.

Sat Oct 24 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 3 specifies input context (1,000,000 tokens). Only Mercury 3 specifies output context (131,072 tokens).

Microsoft
MAI-Code-1-Flash
Input- tokens
Output- tokens
Inception
Mercury 3
Input1,000,000 tokens
Output131,072 tokens
Sat Oct 24 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.

MAI-Code-1-Flash

Proprietary

Closed source

Mercury 3

Proprietary

Closed source

Release Timeline

When each model was launched

MAI-Code-1-Flash was released on 2026-06-02, while Mercury 3 was released on 2026-10-19.

Mercury 3 is 5 months newer than MAI-Code-1-Flash.

MAI-Code-1-Flash

Jun 2, 2026

4 months ago

Mercury 3

Oct 19, 2026

0 days ago

4mo 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?

Judge for yourself.

Run your own prompts against MAI-Code-1-Flash and Mercury 3 side-by-side, then vote on the output you prefer.

MAI-Code-1-Flash
✓ Preferred
Mercury 3
Open in Playground

FAQ

Common questions about MAI-Code-1-Flash vs Mercury 3.

Which is better, MAI-Code-1-Flash or Mercury 3?

Mercury 3 leads the LLM Stats Score 36.1 to 28.6. MAI-Code-1-Flash is made by Microsoft and Mercury 3 is made by Inception. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does MAI-Code-1-Flash compare to Mercury 3 in benchmarks?

MAI-Code-1-Flash scores AIME 2026: 92.5%, GPQA: 84.6%, IFBench: 75.0%, Tau2 Telecom: 71.7%, SWE-Bench Verified: 71.6%. Mercury 3 scores GPQA: 89.2%, AA-LCR: 77.7%, IFBench: 76.8%, MRCR v2: 75.5%, DeepSearchQA: 71.3%.

What are the context window sizes for MAI-Code-1-Flash and Mercury 3?

MAI-Code-1-Flash supports an unknown number of tokens and Mercury 3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MAI-Code-1-Flash and Mercury 3?

Key differences include LLM Stats Score (28.6 vs 36.1). See the full comparison above for benchmark-by-benchmark results.

Who makes MAI-Code-1-Flash and Mercury 3?

MAI-Code-1-Flash is developed by Microsoft and Mercury 3 is developed by Inception.