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Gemini 1.0 Pro vs Kimi-k1.5

Kimi-k1.5 leads the LLM Stats Score 17.3 to -5.3.

Google · Moonshot AI · Updated for 2026

Which is better?

Kimi-k1.5 leads the overall LLM Stats Score 17.3 to -5.3, ranking #205 overall.

In the 3 individual benchmarks reported for both models, Kimi-k1.5 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 1.0 Pro

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

Choose Kimi-k1.5

  • overall performance matters — it scores 17.3 and ranks #205 on LLM Stats
  • your work emphasizes reasoning — 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 Jan 2025

At a glance

The differences that matter most.

Gemini 1.0 Pro
Google
Kimi-k1.5
Moonshot AI
Core performance indexes
LLM Stats Score
-5.3
#345
17.3
#205
Reasoning
-7.9
#343
16.5
#203
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
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

3 shared
Index
Gemini 1.0 Pro
Kimi-k1.5
Math
-1.4#296
20.5#150
Vision
-8.3#200
11.5#106
Multimodal
-5.9#161
15.3#86
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Gemini 1.0 Pro · 9 for Kimi-k1.5

3 shared

Gemini 1.0 Pro outperforms in 0 benchmarks, while Kimi-k1.5 is better at 3 benchmarks (MathVista, MMLU, MMMU).

Kimi-k1.5 significantly outperforms across most benchmarks.

Mon Sep 07 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
Moonshot AI
Kimi-k1.5
Input- tokens
Output- tokens
Mon Sep 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Kimi-k1.5 supports multimodal inputs, whereas Gemini 1.0 Pro does not.

Kimi-k1.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.0 Pro

Text
Images
Audio
Video

Kimi-k1.5

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 1.0 Pro

Proprietary

Closed source

Kimi-k1.5

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while Kimi-k1.5 was released on 2025-01-20.

Kimi-k1.5 is 11 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.6 years ago

Kimi-k1.5

Jan 20, 2025

1.6 years ago

11mo newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Kimi-k1.5'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 Kimi-k1.5's cutoff date.

Gemini 1.0 Pro

Feb 2024

Kimi-k1.5

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 1.0 Pro and Kimi-k1.5 side-by-side, then vote on the output you prefer.

Gemini 1.0 Pro
✓ Preferred
Kimi-k1.5
Open in Playground

FAQ

Common questions about Gemini 1.0 Pro vs Kimi-k1.5.

Which is better, Gemini 1.0 Pro or Kimi-k1.5?

Kimi-k1.5 leads the LLM Stats Score 17.3 to -5.3. Gemini 1.0 Pro is made by Google and Kimi-k1.5 is made by Moonshot AI. 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 Kimi-k1.5 in benchmarks?

Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%. Kimi-k1.5 scores MATH-500: 96.2%, CLUEWSC: 91.4%, C-Eval: 88.3%, MMLU: 87.4%, IFEval: 87.2%.

What are the context window sizes for Gemini 1.0 Pro and Kimi-k1.5?

Gemini 1.0 Pro supports 33K tokens and Kimi-k1.5 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 Kimi-k1.5?

Key differences include LLM Stats Score (-5.3 vs 17.3), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and Kimi-k1.5?

Gemini 1.0 Pro is developed by Google and Kimi-k1.5 is developed by Moonshot AI.

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