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Gemini 3.7 Flash vs Kimi K2-Instruct-0905

Comparing Gemini 3.7 Flash and Kimi K2-Instruct-0905 across benchmarks, pricing, and capabilities.

Google · Moonshot AI · Updated for 2026

Which is better?

Gemini 3.7 Flash and Kimi K2-Instruct-0905 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemini 3.7 Flash

  • you want the most recent training data — it shipped Aug 2026

Choose Kimi K2-Instruct-0905

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 3.7 Flash
Google
Kimi K2-Instruct-0905
Moonshot AI
Benchmark wins
—
—
Input price
$0.75 / M
— / M
Output price
$3.75 / M
— / M
Context window
1,048,576
—
Released
Aug 2026
Sep 2025
License
Proprietary
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.7 Flash and Kimi K2-Instruct-0905don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only Gemini 3.7 Flash specifies input context (1,048,576 tokens). Only Gemini 3.7 Flash specifies output context (65,536 tokens).

Google
Gemini 3.7 Flash
Input1,048,576 tokens
Output65,536 tokens
Moonshot AI
Kimi K2-Instruct-0905
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.7 Flash supports multimodal inputs, whereas Kimi K2-Instruct-0905 does not.

Gemini 3.7 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.7 Flash

Text
Images
Audio
Video

Kimi K2-Instruct-0905

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.7 Flash is licensed under a proprietary license, while Kimi K2-Instruct-0905 uses MIT.

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

Gemini 3.7 Flash

Proprietary

Closed source

Kimi K2-Instruct-0905

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.7 Flash was released on 2026-08-13, while Kimi K2-Instruct-0905 was released on 2025-09-05.

Gemini 3.7 Flash is 11 months newer than Kimi K2-Instruct-0905.

Gemini 3.7 Flash

Aug 13, 2026

1 weeks ago

11mo newer
Kimi K2-Instruct-0905

Sep 5, 2025

11 months ago

Knowledge Cutoff

When training data ends

Gemini 3.7 Flash has a documented knowledge cutoff of 2026-03-31, while Kimi K2-Instruct-0905's cutoff date is not specified.

We can confirm Gemini 3.7 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without Kimi K2-Instruct-0905's cutoff date.

Gemini 3.7 Flash

Mar 2026

Kimi K2-Instruct-0905

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.7 Flash and Kimi K2-Instruct-0905 side-by-side, then vote on the output you prefer.

Gemini 3.7 Flash
✓ Preferred
Kimi K2-Instruct-0905
Open in Playground

FAQ

Common questions about Gemini 3.7 Flash vs Kimi K2-Instruct-0905.

Which is better, Gemini 3.7 Flash or Kimi K2-Instruct-0905?

Gemini 3.7 Flash (Google) and Kimi K2-Instruct-0905 (Moonshot AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.7 Flash compare to Kimi K2-Instruct-0905 in benchmarks?

Gemini 3.7 Flash scores MRCR v2 (8-needle): 97.0%, Harvey LAB-AA: 90.7%, CharXiv-R: 88.7%, Terminal-Bench 2.1: 85.8%, LVBench: 85.4%. Kimi K2-Instruct-0905 scores MATH-500: 97.4%, MMLU-Redux: 92.7%, IFEval: 89.8%, AutoLogi: 89.5%, MMLU: 89.5%.

What are the context window sizes for Gemini 3.7 Flash and Kimi K2-Instruct-0905?

Gemini 3.7 Flash supports 1.0M tokens and Kimi K2-Instruct-0905 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 3.7 Flash and Kimi K2-Instruct-0905?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.7 Flash and Kimi K2-Instruct-0905?

Gemini 3.7 Flash is developed by Google and Kimi K2-Instruct-0905 is developed by Moonshot AI.

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