Kimi K2 Thinking vs Qwen-Plus (Comparative Analysis)
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Comparative Analysis: Kimi K2 Thinking vs. Qwen-Plus
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Overview
Qwen-Plus was released 9 months before Kimi K2 Thinking.
 Kimi K2 Thinking |  Qwen-Plus | |
|---|---|---|
Model Provider The organization behind this AI's development | MoonshotAI | Qwen |
Input Context Window Maximum input tokens this model can process at once | 262.1K tokens | 1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 100.4K tokens | 32.8K tokens |
Release Date When this model first became publicly available | November 6, 2025 9 months ago November 6th, 2025 | February 1, 2025 1 year ago February 1st, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | March 31, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Kimi K2 Thinking | Qwen-Plus | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Always enabled | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Other | Qwen |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
Kimi K2 Thinking is roughly 2.3x more expensive compared to Qwen-Plus for input tokens and roughly 3.2x more expensive for output tokens.
| Kimi K2 Thinking | Qwen-Plus | |
|---|---|---|
Short Context Pricing Base rates before a long-context threshold applies | ||
Input Token Cost Cost per million input tokens | $0.60 per million tokens | $0.26 per million tokens |
Output Token Cost Cost per million output tokens | $2.50 per million tokens | $0.78 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.15 per million tokens | $0.05 per million tokens |
Cache Write Cost Cost to write input tokens to the cache | Not specified | $0.33 per million tokens |
Long Context Pricing Rates for prompts with 256,000 or more tokens | ||
Input Token Cost Long-context input cost per million tokens | Not specified | $0.78 per million tokens |
Output Token Cost Long-context output cost per million tokens | Not specified | $2.34 per million tokens |
Cache Read Cost Long-context cache read cost per million tokens | Not specified | $0.16 per million tokens |
Cache Write Cost Long-context cache write cost per million tokens | Not specified | $0.97 per million tokens |
Benchmarks
Compare relevant benchmarks between Kimi K2 Thinking and Qwen-Plus.
| Kimi K2 Thinking | Qwen-Plus | |
|---|---|---|
Coding Index Programming performance across independent evaluations | 21 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,134 Elo (#83 in Website (48.8% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes Kimi K2 Thinking and Qwen-Plus unique.
Kimi K2 Thinking by MoonshotAI can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 262.1K token context window. Reasonably priced at $0.60/M input and $2.50/M output tokens. Released November 6th, 2025.Qwen-Plus by Qwen can use external tools and APIs, generates structured data. It can handle standard conversations with its 1M token context window. Very affordable at $0.26/M input and $0.78/M output tokens. Released February 1st, 2025.Explore More Comparisons
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