Moonshot AI · Long tasks at a lower cost
Kimi K3
A strong model for long analytical tasks and professional outputs. Pricing is more favorable than for some leading models, but completion can take a long time.
- Costs
- Medium to high · approximately $0.94 per Intelligence Index task
- Speed
- Slow on long, multi-step tasks
- Availability
- Moonshot AI's online service
- Input length
- Check the input length for the specific service and version
- Inputs
- Primarily text; depends on the service used
Data checked . Release date unverified.
Indicative capability profile
Where the model is strong
The five levels are our clear summary of the results below. They are not a ranking that applies to every task.
Ideal use
When to choose it
- Long research and knowledge tasks
- A cheaper alternative to the most expensive models
- Background tasks where waiting is acceptable
Usage boundaries
When to choose another model
- Real-time interactive communication
- Short tasks where overhead outweighs the benefit
Traceable supporting sources
Data and measurement sources
Distinguish between the manufacturer's documentation and the results of a specific test. Measurements also depend on the settings and the task set used.
Intelligence Index v4.1
57 pointsThird place among the leading models tracked as of July 17, 2026.
Open original source ↗GDPval-AA v2 · AA-Briefcase
1668 · 1547 Elo pointsA higher number is better. The result confirms strong autonomous work with information.
Open original source ↗Trends over time
Related events from AI Radar
Kimi K3 from Moonshot AI is newly available on the Amazon Bedrock platform
New: Kimi K3 is now available on Amazon Bedrock as a new distribution channel; The model supports prompt caching on Bedrock; Data in AWS Bedrock is protected by the AWS data boundary without being shared with the provider; The Bedrock deployment optimizes the model for long coding and knowledge workflows
Developers can try Kimi K3 through the API or through tools such as OpenCode for agentic programming tasks with long context, but must account for a higher price per token than with previous Kimi models.
Companies can deploy Kimi K3 through Amazon Bedrock with data protection from AWS without needing their own GPU infrastructure, or host the model themselves on instances with 8 NVIDIA B300 GPUs – but both options involve higher costs than earlier open Kimi models.
GitHub recommends Claude Opus 5.5 following the retirement of Claude Opus 4.7
New: The recommended replacement for Claude Opus 4.7 is Claude Opus 5.5, not Claude Opus 5.
When switching from Claude Opus 4.7, follow the current recommendation to use Claude Opus 5.5; the earlier announcement listed a different replacement.
Migrating company workflows and integrations to supported models may require enabling replacement models through access policies in Copilot Enterprise or Copilot Business.
Amazon Bedrock now supports open models for AI coding agents via integration with OpenCode
Developers using AI coding agents can newly adopt OpenCode with open models on Amazon Bedrock as an alternative to closed APIs and, depending on the type of task (debugging, code generation, high volume), switch between specific models.
According to AWS, companies running AI coding agents can run open models (Nemotron, Kimi K3, GPT-OSS) directly within Amazon Bedrock instead of calling closed third-party APIs, which the vendor says brings lower costs, data residency within their own AWS account, and a choice between the Priority, Standard, and Flex pricing tiers.
Anthropic pushes for mandatory AI system safety audits in the US
The proposed legislation (e.g., the Massachusetts bond bill) would introduce an obligation to disclose safety frameworks and undergo independent third-party audits for companies developing or deploying AI systems, which would increase compliance costs and risk-documentation requirements.
Next step
Compare the model using your actual task.
A benchmark narrows the selection. A short trial on your data determines the choice.