Kimi K3.1 Pro is Moonshot AI’s latest large language model, launched October 23, 2026. Built as a post-trained version of Kimi K3, it features 2.8 trillion total parameters with 104 billion active per token (using a Mixture-of-Experts architecture), a 1-million-token context window, and native multimodal support for text, image, and video inputs. According to Moonshot AI’s official tech blog, Kimi K3.1 Pro scored fourth on the Artificial Analysis Intelligence Index with a score of 55, placing it within striking distance of top proprietary models like Claude Opus 5.5 and GPT-6 Astra. The model’s open weights are scheduled for November 4, 2026.
For businesses, the release matters because it represents the growing capability of open-weight models that can be self-hosted, fine-tuned, and integrated into workflows without per-query fees to proprietary providers. This guide covers the 7 features that define Kimi K3.1 Pro, how it compares to competing models, what it costs, and what it means for businesses using AI for marketing, coding, and content.
Key Takeaways
- The model is a 2.8 trillion parameter open-weight system with 104 billion active parameters per token, a 1-million-token context window, and multimodal input.
- According to Moonshot AI, the model scored 65.7% on Terminal-Bench 4.0 and ranks 4th on the Artificial Analysis Intelligence Index, approaching proprietary frontier models.
- API pricing is $2 per million input tokens and $10 per million output tokens, roughly one-third cheaper than Kimi K3 and significantly below proprietary model pricing.
- A faster variant, K3.1 Pro Highspeed, delivers 2 to 3x the inference speed for interactive applications.
- Open weights are planned for November 4, 2026, making it the largest open-weight model available for self-hosting and fine-tuning.
- The model excels in coding, agentic workflows, financial research, and 3D content generation, making it relevant for businesses using AI in marketing, development, and creative production.
Table of Contents
- What Is Kimi K3.1 Pro?
- 7 Key Features of Kimi K3.1 Pro
- Kimi K3.1 Pro Specs at a Glance
- How Does Kimi K3.1 Pro Compare to Other Models?
- Kimi K3.1 Pro Pricing and Access
- What Can Businesses Use Kimi K3.1 Pro For?
- Decision Framework: Should Your Business Use Kimi K3.1 Pro?
- How Lorphic Integrates AI Models Into Client Work
- FAQs About Kimi K3.1 Pro
What Is Kimi K3.1 Pro?
The latest large language model from Moonshot AI, a Beijing-based AI company backed by Alibaba and valued at $3.3 billion. The model is not built from scratch. It is a post-trained version of Kimi K3 (released July 2026) that received significantly more compute during the reinforcement learning and alignment phases. According to Techstrong.ai’s coverage, the post-training upgrade was supported by automated quality checks and expanded compute infrastructure across hundreds of task domains.
The architecture uses a Mixture-of-Experts (MoE) design: 896 individual neural networks coordinated together, with only 16 activated per token to keep inference costs manageable. This is the same approach used by models like Google’s Gemini and Mistral’s Mixtral, where the total parameter count is massive but the compute per query stays efficient.
Moonshot AI positions the model as a direct competitor to proprietary frontier models. The claim: open-weight performance approaching Claude and GPT-6 at a fraction of the cost, with full weights available by November 2026.
7 Key Features of Kimi K3.1 Pro
1. 2.8 trillion parameters with 104 billion active
The model is one of the largest publicly available. The MoE architecture means only 104 billion parameters activate per token, keeping inference costs comparable to much smaller models while maintaining the knowledge capacity of 2.8 trillion parameters.
2. 1-million-token context window
A 1-million-token context window lets Kimi K3.1 Pro process entire codebases, lengthy legal documents, financial reports, and book-length content in a single prompt. For businesses, this means feeding complete project repositories or multi-year financial data into the model without chunking or summarization.
3. Native multimodal input
The model accepts text, image, and video inputs natively. This enables use cases like analyzing product images, reading documents from photos, and processing video content for summaries or transcriptions.
4. Kimi K3.1 Pro Highspeed variant
Moonshot released a companion model, K3.1 Pro Highspeed, that delivers 2 to 3 times the inference speed of the standard version. This variant targets interactive applications where response latency matters: chatbots, real-time coding assistants, and customer support tools.
5. Advanced coding and agentic capabilities
It scored 65.7% on Terminal-Bench 4.0, a benchmark measuring real-world coding performance. The model handles full project scaffolding, bug fixing in existing codebases, and multi-step agentic tasks where it plans, executes, and verifies its own work.
6. 3D generation and creative tooling
Unlike most language models, K3.1 Pro works with 3D creation tools including Blender, Unreal Engine, Godot, and CAD software. According to Moonshot AI, the model can construct mechanical parts, architectural models, and game assets through scripted tool use. For businesses in architecture, product design, or game development, this is a distinctive capability.
7. Reduced hallucination rate
On Moonshot’s internal Kimi Hallu Bench Hard, claim-level hallucinations dropped from 23.4% with K3 to 8.3% with the new model. Moonshot also deliberately removed cyber-related training data to reduce offensive security capabilities before the open-weight release.
Kimi K3.1 Pro Specs at a Glance
| Specification | Kimi K3.1 Pro |
|---|---|
| Developer | Moonshot AI |
| Release date | October 23, 2026 |
| Architecture | Mixture-of-Experts (MoE) with Kimi Delta Attention |
| Total parameters | 2.8 trillion |
| Active parameters per token | 104 billion |
| Expert networks | 896 total, 16 active per token |
| Context window | 1 million tokens |
| Input modalities | Text, image, video |
| Variants | Standard and Highspeed (2 to 3x faster) |
| API pricing | $2/million input tokens, $10/million output tokens |
| Open weights | Planned for November 4, 2026 |
| Artificial Analysis Index score | 55 (4th overall) |
| Terminal-Bench 4.0 score | 65.7% |
| Hallucination rate (Hallu Bench Hard) | 8.3% (down from 23.4% on K3) |
| Available on | Kimi.com, Kimi Work, Kimi Code, Kimi API, OpenRouter |
How Does Kimi K3.1 Pro Compare to Other Models?
| Feature | Kimi K3.1 Pro | Claude Opus 5.5 | GPT-6 Astra | Gemini 2.5 Pro |
|---|---|---|---|---|
| Total parameters | 2.8T | Not disclosed | Not disclosed | Not disclosed |
| Active parameters | 104B | Not disclosed | Not disclosed | Not disclosed |
| Context window | 1M tokens | 200K tokens | 128K tokens | 1M tokens |
| Multimodal | Text, image, video | Text, image | Text, image, audio, video | Text, image, audio, video |
| Open weights | Yes (Nov 4, 2026) | No | No | No |
| API input pricing | $2/M tokens | $15/M tokens | $10/M tokens | $1.25/M tokens |
| API output pricing | $10/M tokens | $75/M tokens | $30/M tokens | $10/M tokens |
| Intelligence Index rank | 4th (55) | 1st | 2nd | 3rd |
| Self-hosting possible | Yes (after weight release) | No | No | No |
| 3D generation tools | Blender, Unreal, Godot, CAD | No | Limited | No |
| Coding benchmark | Terminal-Bench 65.7% | Higher | Higher | Comparable |
The key advantage of Kimi K3.1 Pro: open weights + competitive performance + aggressive pricing. For businesses that need to self-host models for data privacy, fine-tune for specific domains, or reduce per-query costs at scale, Kimi K3.1 Pro offers capabilities that proprietary models cannot match at this price point.
The key limitation: While approaching frontier models, Kimi K3.1 Pro ranks 4th, not 1st. For tasks requiring absolute peak performance (complex legal reasoning, nuanced creative writing, highest-accuracy coding), proprietary models like Claude Opus 5.5 still lead on most benchmarks.
Kimi K3.1 Pro Pricing and Access
| Access Method | Cost | Best For |
|---|---|---|
| Kimi API (standard) | $2/M input, $10/M output | Developers integrating via API |
| Kimi API (Highspeed) | Higher than standard (pricing TBA) | Low-latency interactive applications |
| Kimi.com (web interface) | Free tier available | Casual use, testing |
| Kimi Work | Included | Business workflow integration |
| Kimi Code | Included | Development and coding tasks |
| OpenRouter | Varies by provider | Multi-model routing |
| Self-hosted (after Nov 4) | Compute costs only | Data-sensitive enterprises |
At $2 per million input tokens and $10 per million output tokens, the model is roughly 85% cheaper than Claude Opus 5.5 on input and 87% cheaper on output. For businesses running high-volume AI workloads, this pricing difference translates to thousands of dollars in monthly savings.
What Can Businesses Use Kimi K3.1 Pro For?
The model’s combination of long context, multimodal input, coding strength, and open-weight availability creates practical applications across multiple business functions.
Content creation and marketing. The 1-million-token context window allows feeding entire brand guidelines, tone documents, and 50+ past blog posts into a single prompt for brand-consistent content generation. For businesses producing social media content, blog posts, and marketing copy at volume, Kimi K3.1 Pro can process complete context that shorter-context models cannot.
Code development and automation. The model’s 65.7% Terminal-Bench score and agentic capabilities make it practical for building internal tools, automating repetitive development tasks, and assisting with full-project code generation across multiple languages and frameworks.
Document analysis and financial research. According to Moonshot AI’s benchmarks, K3.1 Pro improved over K3 by 7.2 points on financial modeling and 11.6 points on financial research. The long context window handles complete financial reports, contracts, and regulatory documents in single-pass analysis.
3D and creative production. For businesses in architecture, product design, or game development, the integration with Blender, Unreal Engine, and CAD software is a unique capability.
Customer support and knowledge bases. The Highspeed variant’s 2 to 3x faster inference suits real-time customer support chatbots powered by company-specific knowledge bases.
Decision Framework: Should Your Business Use Kimi K3.1 Pro?
| Your Situation | Recommendation |
|---|---|
| Need peak accuracy on complex tasks | Stick with Claude Opus 5.5 or GPT-6 Astra |
| Need cost-effective AI at scale | Pricing is 85%+ cheaper than leading proprietary models |
| Need to self-host for data privacy | Self-hosting after the Nov 4 weight release is the best option |
| Need long-context document processing | Kimi K3.1 Pro’s 1M-token window handles this natively |
| Need 3D generation capabilities | It is the only frontier-class model with native 3D tool integration |
| Need low-latency interactive AI | Kimi K3.1 Pro Highspeed variant at 2 to 3x speed |
| Need proven, mature ecosystem | Proprietary models have larger tool ecosystems and longer track records |
How Lorphic Integrates AI Models Into Client Work
Lorphic is a digital marketing agency based in Guilford, Connecticut that uses AI models as productivity tools across SEO, social media marketing, PPC, and content creation. The agency’s $15/hour pricing model means AI efficiency directly reduces client costs: tasks that took 3 hours manually take 1 to 1.5 hours with AI assistance, and those savings are passed through to clients.
As open-weight models continue closing the gap with proprietary systems, the AI tools available for marketing work improve in quality while decreasing in cost. Lorphic evaluates and integrates the most effective AI capabilities into its workflows for keyword research, content drafting, Google Business Profile management, analytics summarization, and video production planning.
For Connecticut businesses in Stamford, New Haven, Hartford, Bridgeport, Danbury, and Norwalk, this means access to AI-enhanced marketing at $15/hour without needing to evaluate, subscribe to, or learn AI tools themselves. Lorphic handles the tool selection and integration. Resources are on the blog, with a free consultation and complimentary website report available.
Frequently Asked Questions About Kimi K3.1 Pro
What is Kimi K3.1 Pro?
This model is a large language model developed by Moonshot AI, released on October 23, 2026. It is a post-trained version of Kimi K3, featuring 2.8 trillion total parameters (104 billion active), a 1-million-token context window, and native multimodal support for text, image, and video inputs. It ranks 4th on the Artificial Analysis Intelligence Index with a score of 55.
How much does Kimi K3.1 Pro cost?
The API costs $2 per million input tokens and $10 per million output tokens. This is roughly 85% cheaper than Claude Opus 5.5 on input tokens and significantly below most proprietary model pricing. A free tier is available through Kimi.com for casual use. Open weights for self-hosting are scheduled for November 4, 2026.
How does Kimi K3.1 Pro compare to ChatGPT and Claude?
The model ranks 4th on the Artificial Analysis Intelligence Index, behind Claude Opus 5.5 (1st), GPT-6 Astra (2nd), and Gemini 2.5 Pro (3rd). It approaches these models on coding and agentic benchmarks while costing 85%+ less on API pricing. Its key advantages are open weights (self-hosting possible), a 1-million-token context window, and 3D generation capabilities that proprietary models lack.
When will Kimi K3.1 Pro open weights be released?
Moonshot AI has announced that Kimi K3.1 Pro open weights will be released by November 4, 2026. Once available, businesses and developers can download and self-host the model, fine-tune it for specific domains, and run it without per-query API costs.
What is the context window of Kimi K3.1 Pro?
The context window is 1 million tokens, one of the largest among frontier-class models. This allows processing entire codebases, book-length documents, financial reports, and large knowledge bases in a single prompt without chunking or summarization.
Can Kimi K3.1 Pro generate 3D content?
Yes. It is the only frontier-class model with native integration for 3D creation tools including Blender, Unreal Engine, Godot, and CAD software. Moonshot says it can construct mechanical parts, architectural models, and game assets through scripted tool use.
Curated by Lorphic
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