Crusoe: Models Intelligence, Performance & Price
Analysis of Crusoe's models across key metrics including quality, price, output speed, latency, context window & more. This analysis is intended to support you in choosing the best model provided by Crusoe for your use-case.
Most Intelligent
Intelligence index
Total 1 model
Fastest
Output speed
Total 1 model
Lowest Price
Blended price (per 1M tokens)
Total 1 model
Crusoe currently offers Kimi K2.7 Code (NVFP4).
Highlights
Intelligence Evaluations
Artificial Analysis Intelligence Index
Intelligence Evaluations
Agentic real-world work tasks, (Elo-500)/2000
Agentic tool use
Agentic coding & terminal use
Coding
Reasoning & knowledge
Scientific reasoning
Physics reasoning
Knowledge
1 - hallucination rate
Long context reasoning
Agentic knowledge work, Elo
Agentic SaaS workflows
Legal agentic work, criterion pass rate
Agentic business operations
Instruction following
Long-horizon agentic tasks
Kubernetes incident root-cause analysis
Visual reasoning
Intelligence Index vs. Price
Context Window
Context Window
Pricing
Intelligence Index vs. Price
Performance Summary
Output Speed vs. Price
Speed
Measured by Output Speed (tokens per second)
Output Speed
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time vs. Price
Key definitions
Frequently Asked Questions
Common questions about Crusoe
Crusoe offers 1 model that we track: Kimi K2.7 Code (NVFP4).
The most intelligent model available on Crusoe is Kimi K2.7 Code (NVFP4) with an Intelligence Index score of 42.
The fastest model on Crusoe by output speed is Kimi K2.7 Code (NVFP4) at 444.8 tokens per second.
The model with the lowest time to first answer token on Crusoe is Kimi K2.7 Code (NVFP4) at 5.65s. Lower latency means faster initial response time.
The most affordable model on Crusoe by blended price is Kimi K2.7 Code (NVFP4) at $0.71 per 1M tokens (7:2:1 cache hit/input/output ratio).
Yes, Crusoe offers an OpenAI-compatible API, making it easy to switch from OpenAI or use existing OpenAI SDK integrations.
Yes, all 1 models on Crusoe support JSON mode for structured output.
Yes, all 1 models on Crusoe support function calling (tool use).
Yes, Crusoe offers 1 reasoning model: Kimi K2.7 Code (NVFP4). Reasoning models use extended thinking to work through complex problems before providing an answer.
Yes, all 1 models on Crusoe are open weight models.
Yes, provider performance can vary over time due to infrastructure changes, load balancing, and updates. We continuously benchmark all providers and display historical performance trends in the "Over Time" charts.
When choosing a model on Crusoe, consider: intelligence (for quality-sensitive tasks), output speed (for throughput-intensive tasks), latency (for interactive applications requiring quick first responses), pricing (for cost-sensitive workloads), and features like context window size, JSON mode, or function calling support.