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Gemini 1.5 Flash 8B vs Kimi-k1.5

Kimi-k1.5 leads the LLM Stats Score 17.1 to -0.8.

Google · Moonshot AI · Updated for 2026

Which is better?

Kimi-k1.5 leads the overall LLM Stats Score 17.1 to -0.8, ranking #234 overall.

In the 2 individual benchmarks reported for both models, Kimi-k1.5 wins 2; 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 1.5 Flash 8B

  • you want predictable pricing at $0.07/M input and $0.30/M output

Choose Kimi-k1.5

  • overall performance matters — it scores 17.1 and ranks #234 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Jan 2025

At a glance

The differences that matter most.

Gemini 1.5 Flash 8B
Google
Kimi-k1.5
Moonshot AI
Core performance indexes
LLM Stats Score
-0.8
#347
17.1
#234
Reasoning
-0.4
#338
16.4
#231
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.07 / M
— / M
Output price
$0.30 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 1.5 Flash 8B
Kimi-k1.5
Math
2.4#298
20.2#166
Vision
-2.5#202
11.0#121
Multimodal
0.1#164
14.6#103
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 1.5 Flash 8B · 9 for Kimi-k1.5

2 shared

Gemini 1.5 Flash 8B outperforms in 0 benchmarks, while Kimi-k1.5 is better at 2 benchmarks (MathVista, MMMU).

Kimi-k1.5 significantly outperforms across most benchmarks.

Thu Oct 08 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 1.5 Flash 8B specifies input context (1,048,576 tokens). Only Gemini 1.5 Flash 8B specifies output context (8,192 tokens).

Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
Moonshot AI
Kimi-k1.5
Input- tokens
Output- tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 1.5 Flash 8B and Kimi-k1.5 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 1.5 Flash 8B

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 1.5 Flash 8B

Proprietary

Closed source

Kimi-k1.5

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.5 Flash 8B was released on 2024-03-15, while Kimi-k1.5 was released on 2025-01-20.

Kimi-k1.5 is 10 months newer than Gemini 1.5 Flash 8B.

Gemini 1.5 Flash 8B

Mar 15, 2024

2.6 years ago

Kimi-k1.5

Jan 20, 2025

1.7 years ago

10mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while Kimi-k1.5's cutoff date is not specified.

We can confirm Gemini 1.5 Flash 8B's training data extends to 2024-10-01, but cannot make a direct comparison without Kimi-k1.5's cutoff date.

Gemini 1.5 Flash 8B

Oct 2024

Kimi-k1.5

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 1.5 Flash 8B and Kimi-k1.5 side-by-side, then vote on the output you prefer.

Gemini 1.5 Flash 8B
✓ Preferred
Kimi-k1.5
Open in Playground

FAQ

Common questions about Gemini 1.5 Flash 8B vs Kimi-k1.5.

Which is better, Gemini 1.5 Flash 8B or Kimi-k1.5?

Kimi-k1.5 leads the LLM Stats Score 17.1 to -0.8. Gemini 1.5 Flash 8B 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 1.5 Flash 8B compare to Kimi-k1.5 in benchmarks?

Gemini 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%. 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 1.5 Flash 8B and Kimi-k1.5?

Gemini 1.5 Flash 8B supports 1.0M 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 1.5 Flash 8B and Kimi-k1.5?

Key differences include LLM Stats Score (-0.8 vs 17.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Flash 8B and Kimi-k1.5?

Gemini 1.5 Flash 8B is developed by Google and Kimi-k1.5 is developed by Moonshot AI.

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