KAT-Coder-Pro V2 is available now - our most capable agentic coding model yet.
- Native OpenClaw support with cross-scaffold generalization across 10+ frameworks
- Breakthrough web aesthetics generation— production-grade Landing Pages & PPTs from a single sentence
Coding Plan:
https://t.co/N9Ld6MfQjw
API KEY:
https://t.co/Gu7atvvo7Q
Tool Integration Guide:
https://t.co/QLBLackoRA
Prompt:Design an Apple-style product launch deck for our new AI assistant. 20 slides, cyberpunk-neon theme, pure black background. Cover slide: just the product name with gradient text and a starfield animation. Feature slides should use neural-net FX. Heavy weight contrast — bold titles, thin body. Smooth magic-move transitions throughout.
KAT + Hermes Practical Case Showcase
Step 1: Install the html-ppt skill
Step 2: Input your specific prompt
Step 3: Get a perfectly matched output in no time
KwaiKAT has released KAT-Coder-Pro V2, a non-reasoning model that scores 44 on the Artificial Analysis Intelligence Index, an 8 point improvement from KAT-Coder-Pro V1
@KwaiAICoder has updated their flagship proprietary coding model with the release of KAT-Coder-Pro V2. KAT-Coder-Pro V2 achieves 44 on the Artificial Analysis Intelligence Index, matching Claude Sonnet 4.6 (non-reasoning) and trailing only Claude Opus 4.6 (non-reasoning, 46) among non-reasoning models. At ~9M output tokens, it is also more token efficient than Claude Opus 4.6 (~11M), Claude Sonnet 4.6 (~14M), and reasoning models with similar intelligence such as DeepSeek V3.2 (reasoning, ~61M) and Qwen3.5 397B A17B (reasoning, ~86M).
KAT-Coder-Pro V2 is a non-reasoning model, unlike all of the current frontier language models which ‘think’ before answering. Typically, reasoning variants score higher on the Intelligence Index than their non-reasoning counterparts, but consume more output tokens and are less suited to latency-sensitive workloads.
Key Highlights:
➤ 🧠 Higher overall intelligence, but regression in long context reasoning and knowledge recall: KAT-Coder-Pro V2 scores 44 on the Artificial Analysis Intelligence Index, an 8 point improvement from KAT-Coder-Pro V1 and matching Claude Sonnet 4.6 (non-reasoning, max effort). It performs well on tool use (90% on Tau2-Telecom), but regresses compared to KAT-Coder-Pro V1 on long-context reasoning and knowledge, falling 8 p.p. on AA-LCR (66%) and 17 p.p. on HLE (16%).
➤ 🤖 Agentic capability improvements: KAT-Coder-Pro V2 shows major improvements on our agentic evaluations. On Terminal-Bench Hard, it scores 49%, up 40 p.p. from KAT-Coder-Pro V1, making it the highest-scoring non-reasoning model, matching Claude Opus 4.6 (non-reasoning, 49%) and ahead of Claude Sonnet 4.6 (non-reasoning, 46%). KAT-Coder-Pro V2 also shows improvement in GDPval-AA, scoring 1123 (+304 Elo from V1), but still sits behind models such as DeepSeek V3.2 (1198) and Qwen3.5 397B A17B (1202).
➤ ⚙️ High token efficiency: KAT-Coder-Pro V2 is a non-reasoning model and uses fewer tokens than peers with similar intelligence. It uses 8.7M output tokens to run the Artificial Analysis Intelligence Index, below Claude Opus 4.6 (non-reasoning, ~11M) and Claude Sonnet 4.6 (non-reasoning, ~14M), though this is ~2x higher than its predecessor, KAT-Coder-Pro V1 (~4.5M). It also uses significantly fewer tokens than similarly intelligent reasoning models such as DeepSeek V3.2 (reasoning, ~61M) and Qwen3.5 397B A17B (reasoning, ~86M).
➤ $ Improved cost efficiency: KAT-Coder-Pro V2 costs $73 to run the Artificial Analysis Intelligence Index, down from $76 for V1, as it uses fewer input tokens by requiring fewer turns in agentic evaluations. This makes it one of the most cost-efficient models at its intelligence level, costing less than Qwen3.5 397B A17B (reasoning, $418) and Claude Sonnet 4.6 (non-reasoning, $1397). KAT-Coder-Pro V2 is currently priced at $0.30/$1.20 per 1M input/output tokens on StreamLake and AtlasCloud API endpoints.
➤ ⚡ Low end-to-end response time: KAT-Coder-Pro V2 runs at ~109 output tokens per second, far ahead of Claude Opus 4.6 (non-reasoning, 39 OTPS) and Claude Sonnet 4.6 (non-reasoning, 43 OTPS). Because it also has a low time to first token without any reasoning delay, it delivers one of the fastest end-to-end response times, which measures the time taken from request sent to final output returned.
Model details:
➤ Availability: KAT-Coder-Pro V2 is available via StreamLake and AtlasCloud API endpoints
➤ Context Window: 256K tokens (equivalent to KAT-Coder-Pro V1)
➤ Multi-modal capabilities: Text input and output only
Intelligence vs. Price
KAT-Coder-Pro V2 lands in the most attractive quadrant in AA evaluations, combining strong performance with highly competitive pricing in real-world development workflows.
To our valued users:
Starting today, KAT-Coder-Pro V1 will be officially discontinued.
Please migrate your V1 inference endpoints to V2 at your earliest convenience to ensure uninterrupted service.
Thank you for your understanding and continued support.
KAT-Coder-Pro V2 is available now - our most capable agentic coding model yet.
- Native OpenClaw support with cross-scaffold generalization across 10+ frameworks
- Breakthrough web aesthetics generation— production-grade Landing Pages & PPTs from a single sentence
Coding Plan:
https://t.co/N9Ld6MfQjw
API KEY:
https://t.co/Gu7atvvo7Q
Tool Integration Guide:
https://t.co/QLBLackoRA
📢 KAT-Coder-Pro-V2 by @KwaiAICoder — flagship agentic coding model, now live on @ZenMuxAI .
- Native OpenClaw with multi-scaffold support
- Aesthetic web generation from natural language
- Optimized for high-frequency agentic calls
🔗 https://t.co/6mSLVPT8cT