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GPT-3.5 Turbo vs Kimi-k1.5

Kimi-k1.5 leads the LLM Stats Score 17.3 to -9.3.

OpenAI · Moonshot AI · Updated for 2026

Which is better?

Kimi-k1.5 leads the overall LLM Stats Score 17.3 to -9.3, ranking #205 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-3.5 Turbo

  • you want predictable pricing at $0.50/M input and $1.50/M output

Choose Kimi-k1.5

  • overall performance matters — it scores 17.3 and ranks #205 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
-9.3
#352
17.3
#205
-8.6
#344
16.5
#203
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
$0.50 / M
— / M
Output price
$1.50 / M
— / M
Context window
16,385

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-3.5 Turbo
Kimi-k1.5
-2.0#301
20.5#150
-15.9#204
11.5#106
-14.1#164
15.3#86
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for GPT-3.5 Turbo · 9 for Kimi-k1.5

3 shared

GPT-3.5 Turbo outperforms in 0 benchmarks, while Kimi-k1.5 is better at 3 benchmarks (MathVista, MMLU, MMMU).

Kimi-k1.5 significantly outperforms across most benchmarks.

Mon Sep 07 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-3.5 Turbo specifies input context (16,385 tokens). Only GPT-3.5 Turbo specifies output context (4,096 tokens).

OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Moonshot AI
Kimi-k1.5
Input- tokens
Output- tokens
Mon Sep 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Kimi-k1.5 supports multimodal inputs, whereas GPT-3.5 Turbo does not.

Kimi-k1.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-3.5 Turbo

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-3.5 Turbo

Proprietary

Closed source

Kimi-k1.5

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-3.5 Turbo was released on 2023-03-21, while Kimi-k1.5 was released on 2025-01-20.

Kimi-k1.5 is 22 months newer than GPT-3.5 Turbo.

GPT-3.5 Turbo

Mar 21, 2023

3.5 years ago

Kimi-k1.5

Jan 20, 2025

1.6 years ago

1.8yr newer

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while Kimi-k1.5's cutoff date is not specified.

We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without Kimi-k1.5's cutoff date.

GPT-3.5 Turbo

Sep 2021

Kimi-k1.5

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-3.5 Turbo and Kimi-k1.5 side-by-side, then vote on the output you prefer.

GPT-3.5 Turbo
✓ Preferred
Kimi-k1.5
Open in Playground

FAQ

Common questions about GPT-3.5 Turbo vs Kimi-k1.5.

Which is better, GPT-3.5 Turbo or Kimi-k1.5?

Kimi-k1.5 leads the LLM Stats Score 17.3 to -9.3. GPT-3.5 Turbo 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-3.5 Turbo compare to Kimi-k1.5 in benchmarks?

GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. 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-3.5 Turbo and Kimi-k1.5?

GPT-3.5 Turbo supports 16K 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-3.5 Turbo and Kimi-k1.5?

Key differences include LLM Stats Score (-9.3 vs 17.3), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-3.5 Turbo and Kimi-k1.5?

GPT-3.5 Turbo is developed by OpenAI and Kimi-k1.5 is developed by Moonshot AI.