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Moonshot AI Kimi K3.1 Pro Officially Launches: 2.8T MoE Architecture, 1M Token Context, Scores 65.7% on Terminal-Bench 4.0

October 24, 20265 Views
Kimi K3.1 Pro
Moonshot AI
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Moonshot AI Kimi K3.1 Pro Officially Launches: 2.8T MoE Architecture Reshapes Open-Source AI Landscape

On October 23, 2026, Chinese AI unicorn Moonshot AI officially released Kimi K3.1 Pro, the first model in its new K3.1 series. Featuring a 2.8-trillion-parameter Mixture-of-Experts (MoE) architecture with 104B active parameters and an industry-leading 1-million-token context window, Kimi K3.1 Pro sets new records across multiple key benchmarks. The company has pledged to open-source the complete model weights on November 4, 2026, generating significant excitement across the AI community.

Technical Architecture: The 3T-Class MoE Breakthrough

Kimi K3.1 Pro is a post-trained iteration of Kimi K3, utilizing a Sparse Mixture-of-Experts (Sparse MoE) architecture with 2.8 trillion total parameters, but activating only 104B parameters per token during inference. This design maintains high performance while dramatically reducing computational costs.

Specification Kimi K3.1 Pro Kimi K3 (Previous)
Total Parameters 2.8T (MoE) Undisclosed
Active Parameters 104B Undisclosed
Context Window 1,000,000 Tokens 128,000 Tokens
Hallucination Rate 8.3% 23.4%
Terminal-Bench 4.0 65.7% Not tested

Moonshot AI significantly increased post-training compute, optimizing its reinforcement learning (RL) framework, long-context inference, and sandbox infrastructure, achieving notable improvements in coding, financial modeling, and 3D reconstruction.

Benchmark Performance: Leading Across Multiple Domains

Coding Capabilities

Kimi K3.1 Pro achieves 65.7% on Terminal-Bench 4.0 and 51.7% on SWE-Marathon, demonstrating strong autonomous coding and system operation capabilities.

Financial Analysis

On the OfficeQA Pro v2 financial benchmark, K3.1 Pro achieves a state-of-the-art score of 64.4, showcasing exceptional ability in complex financial document understanding and analysis.

Hallucination Control

Internal stress tests show K3.1 Pro's hallucination rate at just 8.3%, a dramatic improvement from Kimi K3's 23.4% — a 64% reduction. This improvement is critical for enterprise applications requiring high accuracy.

Global Rankings

According to the Artificial Analysis Intelligence Index (October 2026), K3.1 Pro ranks fourth globally with a score of 55, behind Claude Opus 5.5 (58) and Claude Sonnet 5.5 (56), but ahead of GPT-6 Astra (53).

Safety Design: Proactive Limitation of Cyber Attack Capabilities

Notably, Moonshot AI proactively implemented cybersecurity restrictions in the open-weight release. The company deliberately removed cyber-attack-related data from both the mid-training corpus and the RL environment mix.

According to the company's xdev-bench-hard benchmark, an unfiltered checkpoint could solve 90.5% of tasks, while the shipped K3.1 Pro is limited to 81.0%, keeping its capabilities below the absolute frontier of proprietary models — a demonstration of responsible AI development.

Pricing Strategy: Highly Competitive

Model Version Input Price (per 1M tokens) Output Price (per 1M tokens)
Kimi K3.1 Pro $2.00 $10.00
Kimi K3.1 Pro Highspeed $4.00 $20.00
Cache Hits $0.20 —

By comparison, Claude Opus 5.5 is priced at $15/1M input tokens and GPT-6 Astra at $12/1M input tokens, giving Kimi K3.1 Pro a clear competitive pricing advantage.

Availability and Deployment

Kimi K3.1 Pro is currently available through:

  • Kimi API: Model identifiers kimi-k3.1-pro and kimi-k3.1-pro-highspeed
  • Kimi.ai Web: Direct access
  • Mobile Apps: iOS, Android, HarmonyOS supported
  • Kimi Work Desktop: v3.1.0 and above
  • Kimi Code: Developer-focused coding assistant

The model supports "Thinking Mode" with selectable reasoning efforts (low, high, max), defaulting to max.

Open-Source Commitment: Full Release on November 4

Moonshot AI has pledged to open-source the complete Kimi K3.1 Pro model weights globally on November 4, 2026, making it one of the largest publicly available MoE models. This decision is expected to have a profound impact on the open-source AI community, particularly for research institutions and startups across the Asia-Pacific region.

Asia-Pacific Perspective: China's AI Closing the Global Gap

The launch of Kimi K3.1 Pro marks an important milestone for Chinese AI companies in global competition. Despite US export controls restricting high-end GPU exports, Moonshot AI has trained a model approaching the global frontier, demonstrating the resilience of China's AI ecosystem.

For enterprise users across Asia-Pacific, Kimi K3.1 Pro offers a competitive alternative, particularly for Chinese language understanding, financial analysis, and long-document processing. Its 1M token context window is especially suited for handling large legal documents, financial reports, and technical documentation.

Industry Impact and Outlook

The launch of Kimi K3.1 Pro intensifies competition in the global AI model market across several dimensions:

  1. Cost Competition: $2/1M token input pricing puts pressure on Western competitors
  2. Open-Source Ecosystem: The November 4 open-source plan will drive innovation in the global developer community
  3. Long-Context Applications: The 1M token window opens new possibilities for enterprise document processing
  4. Safety Standards: Proactively limiting cyber attack capabilities sets a responsible AI example for the industry

With the K3.1 series launch, Moonshot AI is transitioning from a Chinese domestic AI company to a globally competitive AI infrastructure provider, with plans to release additional K3.1 series variants and further expand multimodal capabilities.

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