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Gemini 1.0 Pro vs MiniMax M1 40K

MiniMax M1 40K leads the LLM Stats Score 20.5 to -5.4.

Google · MiniMax · Updated for 2026

Which is better?

MiniMax M1 40K leads the overall LLM Stats Score 20.5 to -5.4, ranking #197 overall.

In the 1 individual benchmarks reported for both models, MiniMax M1 40K 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 1.0 Pro

  • you want predictable pricing at $0.50/M input and $1.50/M output

Choose MiniMax M1 40K

  • overall performance matters — it scores 20.5 and ranks #197 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Jun 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 1.0 Pro
Google
MiniMax M1 40K
MiniMax
Core performance indexes
LLM Stats Score
-5.4
#360
20.5
#197
Reasoning
-8.0
#359
20.7
#186
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.50 / M
— / M
Output price
$1.50 / M
— / M
Context window
32,760
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 1.0 Pro
MiniMax M1 40K
Math
-1.7#305
18.1#187
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Gemini 1.0 Pro · 16 for MiniMax M1 40K

1 shared

Gemini 1.0 Pro outperforms in 0 benchmarks, while MiniMax M1 40K is better at 1 benchmark (GPQA).

MiniMax M1 40K significantly outperforms across most benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 1.0 Pro specifies input context (32,760 tokens). Only Gemini 1.0 Pro specifies output context (8,192 tokens).

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
MiniMax
MiniMax M1 40K
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 1.0 Pro is licensed under a proprietary license, while MiniMax M1 40K uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 1.0 Pro

Proprietary

Closed source

MiniMax M1 40K

MIT

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while MiniMax M1 40K was released on 2025-06-16.

MiniMax M1 40K is 16 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.6 years ago

MiniMax M1 40K

Jun 16, 2025

1.3 years ago

1.3yr newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while MiniMax M1 40K's cutoff date is not specified.

We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without MiniMax M1 40K's cutoff date.

Gemini 1.0 Pro

Feb 2024

MiniMax M1 40K

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 1.0 Pro and MiniMax M1 40K side-by-side, then vote on the output you prefer.

Gemini 1.0 Pro
✓ Preferred
MiniMax M1 40K
Open in Playground

FAQ

Common questions about Gemini 1.0 Pro vs MiniMax M1 40K.

Which is better, Gemini 1.0 Pro or MiniMax M1 40K?

MiniMax M1 40K leads the LLM Stats Score 20.5 to -5.4. Gemini 1.0 Pro is made by Google and MiniMax M1 40K is made by MiniMax. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 1.0 Pro compare to MiniMax M1 40K in benchmarks?

Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%. MiniMax M1 40K scores MATH-500: 96.0%, AIME 2024: 83.3%, MMLU-Pro: 80.6%, ZebraLogic: 80.1%, OpenAI-MRCR: 2 needle 128k: 76.1%.

What are the context window sizes for Gemini 1.0 Pro and MiniMax M1 40K?

Gemini 1.0 Pro supports 33K tokens and MiniMax M1 40K supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 1.0 Pro and MiniMax M1 40K?

Key differences include LLM Stats Score (-5.4 vs 20.5), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and MiniMax M1 40K?

Gemini 1.0 Pro is developed by Google and MiniMax M1 40K is developed by MiniMax.

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