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GPT-4o mini vs Kimi-k1.5

Kimi-k1.5 leads the LLM Stats Score 17.4 to 3.9.

OpenAI · Moonshot AI · Updated for 2026

Which is better?

Kimi-k1.5 leads the overall LLM Stats Score 17.4 to 3.9, ranking #200 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 GPT-4o mini

  • you want predictable pricing at $0.15/M input and $0.60/M output

Choose Kimi-k1.5

  • overall performance matters — it scores 17.4 and ranks #200 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.

Core performance indexes
3.9
#290
17.4
#200
4.3
#281
16.6
#199
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
$0.15 / M
— / M
Output price
$0.60 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-4o mini
Kimi-k1.5
11.8#232
20.5#148
0.1#175
11.6#101
2.9#137
15.3#82
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for GPT-4o mini · 9 for Kimi-k1.5

3 shared

GPT-4o mini outperforms in 0 benchmarks, while Kimi-k1.5 is better at 3 benchmarks (MathVista, MMLU, MMMU).

Kimi-k1.5 significantly outperforms across most benchmarks.

Tue Sep 01 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-4o mini specifies input context (128,000 tokens). Only GPT-4o mini specifies output context (16,384 tokens).

OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Moonshot AI
Kimi-k1.5
Input- tokens
Output- tokens
Tue Sep 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-4o mini and Kimi-k1.5 support multimodal inputs.

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

GPT-4o mini

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.

GPT-4o mini

Proprietary

Closed source

Kimi-k1.5

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while Kimi-k1.5 was released on 2025-01-20.

Kimi-k1.5 is 6 months newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

2.1 years ago

Kimi-k1.5

Jan 20, 2025

1.6 years ago

6mo newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Kimi-k1.5's cutoff date is not specified.

We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Kimi-k1.5's cutoff date.

GPT-4o mini

Oct 2023

Kimi-k1.5

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-4o mini and Kimi-k1.5 side-by-side, then vote on the output you prefer.

GPT-4o mini
✓ Preferred
Kimi-k1.5
Open in Playground

FAQ

Common questions about GPT-4o mini vs Kimi-k1.5.

Which is better, GPT-4o mini or Kimi-k1.5?

Kimi-k1.5 leads the LLM Stats Score 17.4 to 3.9. GPT-4o mini is made by OpenAI 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 GPT-4o mini compare to Kimi-k1.5 in benchmarks?

GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. 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 GPT-4o mini and Kimi-k1.5?

GPT-4o mini supports 128K 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 GPT-4o mini and Kimi-k1.5?

Key differences include LLM Stats Score (3.9 vs 17.4). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o mini and Kimi-k1.5?

GPT-4o mini is developed by OpenAI and Kimi-k1.5 is developed by Moonshot AI.