GPT-3.5 Turbo 16k vs Kimi K2 Thinking (Comparative Analysis)
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Comparative Analysis: GPT-3.5 Turbo 16k vs. Kimi K2 Thinking
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Overview
GPT-3.5 Turbo 16k was released 2 years before Kimi K2 Thinking.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 16.4K tokens | 262.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 4.1K tokens | 100.4K tokens |
Release Date When this model first became publicly available | August 28, 2023 2 years ago August 28th, 2023 | November 6, 2025 8 months ago November 6th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | September 30, 2021 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-3.5 Turbo 16k | Kimi K2 Thinking | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Not reported | Always enabled |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Other |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
GPT-3.5 Turbo 16k is roughly 5.0x more expensive compared to Kimi K2 Thinking for input tokens and roughly 1.6x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $3.00 per million tokens | $0.60 per million tokens |
Output Token Cost Cost per million output tokens | $4.00 per million tokens | $2.50 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.15 per million tokens |
Benchmarks
Compare relevant benchmarks between GPT-3.5 Turbo 16k and Kimi K2 Thinking.
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 17.3 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 21 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 1.8 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 1,138 Elo (#79 in Website (48.8% win rate)) |
At a Glance
Quick overview of what makes GPT-3.5 Turbo 16k and Kimi K2 Thinking unique.
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