Kimi K2 Thinking
Kimi • llm
Grande modelo de linguagem (llm) desenvolvido pela Kimi — Intelligence Index 41/100 no Artificial Analysis; US$ 0.600/1M tokens de entrada; 116 tokens/s de velocidade.
Specifications
Context Window
262K tokens
Input Price/1M
$0.60
Output Price/1M
$2.50
Parameters
—
Speed
131 tok/s
Latency (TTFT)
810ms
Max Output
262K tokens
Benchmarks
Kimi K2 Thinking results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 31.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 85.0 | 100.0 | Artificial Analysis official API |
| SciCode | 42.0 | 100.0 | — |
| AA Coding Index | 34.8 | 100.0 | Artificial Analysis official API |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 85.0 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 66.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 97.1 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 95.0 | 100.0 | Artificial Analysis official API |
| AA Math Index | 94.7 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 40.9 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 84.0 | 100.0 | Artificial Analysis official API |
| MMLU Pro | 81.9 | 100.0 | Artificial Analysis official API |
| IFBench | 68.0 | 100.0 | — |
| HLE | 22.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 93.0 | 100.0 | — |
Information
- Release date
- November 06, 2025
- Tool Calling
- ✅ Supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Kimi K2 Thinking
What is Kimi K2 Thinking?
Kimi K2 Thinking is an AI model developed by Kimi, classified as a llm model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Kimi's cloud API. With a context window of 262K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
Kimi K2 Thinking is usage-based, priced at $0.6/1M input tokens and $2.5/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
Kimi K2 Thinking was evaluated on 15 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Kimi K2 Thinking is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), automation with tool calling (API integration, databases, external systems), high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Kimi K2 Thinking competes directly with similarly capable models. Kimi competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Kimi K2 Thinking?
Kimi K2 Thinking is an AI model developed by Kimi. It is a llm model.
How much does Kimi K2 Thinking cost?
Kimi K2 Thinking costs $0.6/1M input tokens and $2.5/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Kimi K2 Thinking compare with other models?
In available benchmarks, Kimi K2 Thinking scored: Terminal-Bench Hard: 31/100, LiveCodeBench: 85/100, SciCode: 42/100. See the full table above for a detailed comparison.
Is Kimi K2 Thinking open source?
No, Kimi K2 Thinking is a proprietary model from Kimi. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Kimi K2 Thinking best for?
Kimi K2 Thinking excels at general-purpose language tasks. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: June 01, 2026 • View methodology →