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Gemini 3.8 Flash vs Kimi K2-Instruct-0905

Gemini 3.8 Flash leads the LLM Stats Score 51.0 to 21.7.

Google · Moonshot AI · Updated for 2026

Which is better?

Gemini 3.8 Flash leads the overall LLM Stats Score 51.0 to 21.7, ranking #15 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 3.8 Flash

  • overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 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 3.8 Flash
Google
Kimi K2-Instruct-0905
Moonshot AI
Core performance indexes
LLM Stats Score
51.0
#15
21.7
#176
Reasoning
46.9
#24
22.0
#164
Coding
39.3
#14
10.0
#160
Agents
35.8
#16
-4.2
#169
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.75 / M
— / M
Output price
$3.75 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 3.8 Flash
Kimi K2-Instruct-0905
Tool use
26.7#23
7.4#135
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 3.8 Flash · 29 for Kimi K2-Instruct-0905

No common benchmarks found

Gemini 3.8 Flash and Kimi K2-Instruct-0905don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 3.8 Flash specifies input context (1,048,576 tokens). Only Gemini 3.8 Flash specifies output context (65,536 tokens).

Google
Gemini 3.8 Flash
Input1,048,576 tokens
Output65,536 tokens
Moonshot AI
Kimi K2-Instruct-0905
Input- tokens
Output- tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 3.8 Flash supports multimodal inputs, whereas Kimi K2-Instruct-0905 does not.

Gemini 3.8 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.8 Flash

Text
Images
Audio
Video

Kimi K2-Instruct-0905

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.8 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 3.8 Flash

Proprietary

Closed source

Kimi K2-Instruct-0905

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.8 Flash was released on 2026-09-02, while Kimi K2-Instruct-0905 was released on 2025-09-05.

Gemini 3.8 Flash is 12 months newer than Kimi K2-Instruct-0905.

Gemini 3.8 Flash

Sep 2, 2026

1 days ago

12mo newer
Kimi K2-Instruct-0905

Sep 5, 2025

12 months ago

Knowledge Cutoff

When training data ends

Gemini 3.8 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 3.8 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without Kimi K2-Instruct-0905's cutoff date.

Gemini 3.8 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 3.8 Flash and Kimi K2-Instruct-0905 side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash
✓ Preferred
Kimi K2-Instruct-0905
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash vs Kimi K2-Instruct-0905.

Which is better, Gemini 3.8 Flash or Kimi K2-Instruct-0905?

Gemini 3.8 Flash leads the LLM Stats Score 51.0 to 21.7. Gemini 3.8 Flash is made by Google and Kimi K2-Instruct-0905 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 3.8 Flash compare to Kimi K2-Instruct-0905 in benchmarks?

Gemini 3.8 Flash scores Terminal-Bench 2.1: 89.4%, LVBench: 87.1%, CharXiv-R: 86.2%, LABBench2: 86.2%, DeepSWE 1.1: 73.7%. 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 3.8 Flash and Kimi K2-Instruct-0905?

Gemini 3.8 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 3.8 Flash and Kimi K2-Instruct-0905?

Key differences include LLM Stats Score (51.0 vs 21.7), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash and Kimi K2-Instruct-0905?

Gemini 3.8 Flash is developed by Google and Kimi K2-Instruct-0905 is developed by Moonshot AI.

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