KwaiKAT • llm
Grande modelo de linguagem (llm) desenvolvido pela KwaiKAT — Intelligence Index 36/100 no Artificial Analysis; US$ 0.300/1M tokens de entrada; 111 tokens/s de velocidade.
Context Window
—
Input Price/1M
$0.30
Output Price/1M
$1.20
Parameters
—
Speed
109 tok/s
Latency (TTFT)
1.4s
KAT-Coder-Pro V1 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 9.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 75.0 | 100.0 | Artificial Analysis official API |
| SciCode | 37.0 | 100.0 | — |
| AA Coding Index | 18.3 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 81.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 74.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AIME 2025 | 95.0 | 100.0 | Artificial Analysis official API |
| AA Math Index | 94.7 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 36.0 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 81.3 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 76.0 | 100.0 | Artificial Analysis official API |
| IFBench | 68.0 | 100.0 | — |
| HLE | 33.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 89.0 | 100.0 | — |
KAT-Coder-Pro V1 is an AI model developed by KwaiKAT, classified as a llm model. It focuses on text processing and natural language generation. As a proprietary model, it is available via KwaiKAT's cloud API.
KAT-Coder-Pro V1 is usage-based, priced at $0.3/1M input tokens and $1.2/1M 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.
KAT-Coder-Pro V1 was evaluated on 14 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.
KAT-Coder-Pro V1 is suitable for a wide range of AI applications: high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
In the 2026 AI model ecosystem, KAT-Coder-Pro V1 competes directly with similarly capable models. KwaiKAT 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.
KAT-Coder-Pro V1 is an AI model developed by KwaiKAT. It is a llm model.
KAT-Coder-Pro V1 costs $0.3/1M input tokens and $1.2/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
In available benchmarks, KAT-Coder-Pro V1 scored: Terminal-Bench Hard: 9/100, LiveCodeBench: 75/100, SciCode: 37/100. See the full table above for a detailed comparison.
No, KAT-Coder-Pro V1 is a proprietary model from KwaiKAT. It is available via cloud API. For open source alternatives, check our open source model ranking.
KAT-Coder-Pro V1 excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →