Model Comparison

Gemini 1.0 Pro vs Kimi K3Which is better in 2026?

Kimi K3 significantly outperforms across most benchmarks. Gemini 1.0 Pro is 8.0x cheaper per token.

Verdict: Gemini 1.0 Pro vs Kimi K3 — which is better?

Gemini 1.0 Pro (by Google) and Kimi K3 (by Moonshot AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemini 1.0 Pro outperforms in 0 benchmarks, while Kimi K3 is better at 1 benchmark (GPQA). Kimi K3 significantly outperforms across most benchmarks.

On price, Gemini 1.0 Pro is roughly 8.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Kimi K3 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 1.0 Pro if…

  • cost matters — it's about 8.0x cheaper per token

Choose Kimi K3 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 1.0 Pro outperforms in 0 benchmarks, while Kimi K3 is better at 1 benchmark (GPQA).

Kimi K3 significantly outperforms across most benchmarks.

Sat Jul 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 1.0 Pro costs less

For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 6.0x cheaper than Kimi K3 ($3.00/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 10.0x cheaper than Kimi K3 ($15.00/1M tokens).

In conclusion, Kimi K3 is more expensive than Gemini 1.0 Pro.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Jul 18 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
Moonshot AI
Kimi K3
Input tokens$3.00
Output tokens$15.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Kimi K3 accepts 1,048,576 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Kimi K3 can generate longer responses up to 1,048,576 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Moonshot AI
Kimi K3
Input1,048,576 tokens
Output1,048,576 tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi K3 supports multimodal inputs, whereas Gemini 1.0 Pro does not.

Kimi K3 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 K3

Text
Images
Audio
Video

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while Kimi K3 was released on 2026-07-16.

Kimi K3 is 29 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.4 years ago

Kimi K3

Jul 16, 2026

2 days ago

2.4yr newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Kimi K3'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 K3's cutoff date.

Gemini 1.0 Pro

Feb 2024

Kimi K3

—

Provider Availability

Gemini 1.0 Pro is available from Google. Kimi K3 is available from Moonshot AI.

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

Kimi K3

moonshot logo
Unknown Organization
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Less expensive input tokens
Less expensive output tokens
Moonshot AI
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Has open weights
Higher GPQA score (93.5% vs 27.9%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 1.0 Pro and Kimi K3 side-by-side, then vote on the output you prefer.

Gemini 1.0 Pro
✓ Preferred
Kimi K3
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
Moonshot AI
Kimi K3

FAQ

Common questions about Gemini 1.0 Pro vs Kimi K3.

Which is better, Gemini 1.0 Pro or Kimi K3?

Kimi K3 significantly outperforms across most benchmarks. Gemini 1.0 Pro is made by Google and Kimi K3 is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 1.0 Pro compare to Kimi K3 in benchmarks?

Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%. Kimi K3 scores MathVision: 97.8%, DeepSearchQA: 95.0%, GPQA: 93.5%, CharXiv-R: 91.3%, BrowseComp: 91.2%.

Is Gemini 1.0 Pro cheaper than Kimi K3?

Gemini 1.0 Pro is 6.0x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google. Kimi K3 costs $3.00/M input and $15.00/M output via moonshot.

What are the context window sizes for Gemini 1.0 Pro and Kimi K3?

Gemini 1.0 Pro supports 33K tokens and Kimi K3 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 Gemini 1.0 Pro and Kimi K3?

Key differences include context window (33K vs 1.0M), input pricing ($0.50 vs $3.00/M), multimodal support (no vs yes), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and Kimi K3?

Gemini 1.0 Pro is developed by Google and Kimi K3 is developed by Moonshot AI.

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