Supernova: Models Intelligence, Performance & Price
This analysis is intended to support you in choosing the best model provided by Supernova for your use-case.
Most Intelligent
Updated
GLM-5.3 (max) (FP4)GLM-5.3 (max) (FP4, FAST)GLM-5.3 (low) (FP4)GLM-5.3 (low) (FP4, FAST)Intelligence index
Total 4 models
Fastest
GLM-5.3 (max) (FP4, FAST)GLM-5.3 (low) (FP4, FAST)GLM-5.3 (max) (FP4)GLM-5.3 (low) (FP4)Output speed
Total 4 models
Lowest Price
GLM-5.3 (max) (FP4)GLM-5.3 (low) (FP4)GLM-5.3 (max) (FP4, FAST)GLM-5.3 (low) (FP4, FAST)Blended price (per 1M tokens)
Total 4 models
Supernova Labs offers 4 models, each with different intelligence, performance, and pricing characteristics. Below is a comparison of the key metrics across models.
- For intelligence, the top models on Supernova Labs are GLM-5.3 (max) (FP4) (45), GLM-5.3 (max) (FP4, FAST) (45), and GLM-5.3 (low) (FP4) (34).
- For output speed, the fastest models are GLM-5.3 (max) (FP4, FAST) (525 t/s), GLM-5.3 (low) (FP4, FAST) (473 t/s), and GLM-5.3 (max) (FP4) (224 t/s). Speed varies significantly across models, with a 153% difference between the fastest and slowest.
- For latency, GLM-5.3 (max) (FP4, FAST) (5.29s), GLM-5.3 (low) (FP4, FAST) (5.59s), and GLM-5.3 (max) (FP4) (10.62s) offer the lowest time to first answer token.
- For pricing, GLM-5.3 (max) (FP4) ($0.90), GLM-5.3 (low) (FP4) ($0.90), and GLM-5.3 (max) (FP4, FAST) ($1.80) offer the lowest blended prices per 1M tokens.
- For context window size, GLM-5.3 (max) (FP4) (1M), GLM-5.3 (max) (FP4, FAST) (1M), and GLM-5.3 (low) (FP4) (1M) support the largest context windows on Supernova Labs.
- GLM-5.3 (max) (FP4) provides the best balance of intelligence and cost-effectiveness. For the fastest output, GLM-5.3 (max) (FP4, FAST) is the top choice.
Highlights
Intelligence Evaluations
Artificial Analysis Intelligence Index
Intelligence Evaluations
Agentic knowledge work, (Elo-500)/2000
Agentic real-world work tasks, (Elo-500)/2000
Agentic SaaS workflows
Agentic coding & terminal use
Coding
Reasoning & knowledge
Professional document reasoning, All-pass
Physics reasoning
Knowledge
1 - hallucination rate
Long context reasoning
Legal agentic work, criterion pass rate
Agentic business operations
Agentic scientific research workflows in a terminal
Quantitative analysis on spreadsheets & documents
Agentic tool use
Kubernetes incident root-cause analysis
Visual reasoning
Medical long context 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 Supernova
Supernova offers 4 models that we track: GLM-5.3 (max) (FP4), GLM-5.3 (max) (FP4, FAST), GLM-5.3 (low) (FP4), and GLM-5.3 (low) (FP4, FAST).
The most intelligent model available on Supernova is GLM-5.3 (max) (FP4) with an Intelligence Index score of 45.
The fastest model on Supernova by output speed is GLM-5.3 (max) (FP4, FAST) at 525.4 tokens per second.
The model with the lowest time to first answer token on Supernova is GLM-5.3 (max) (FP4, FAST) at 5.29s. Lower latency means faster initial response time.
The most affordable model on Supernova by blended price is GLM-5.3 (max) (FP4) at $0.90 per 1M tokens (7:2:1 cache hit/input/output ratio).
Prices on Supernova vary up to 2x across models, from $0.90 per 1M tokens for GLM-5.3 (max) (FP4) to $1.80 per 1M tokens for GLM-5.3 (low) (FP4, FAST).
Yes, Supernova offers an OpenAI-compatible API, making it easy to switch from OpenAI or use existing OpenAI SDK integrations.
Yes, all 4 models on Supernova support JSON mode for structured output.
Yes, all 4 models on Supernova support function calling (tool use).
Yes, Supernova offers 4 reasoning models: GLM-5.3 (max) (FP4), GLM-5.3 (max) (FP4, FAST), GLM-5.3 (low) (FP4), and GLM-5.3 (low) (FP4, FAST). Reasoning models use extended thinking to work through complex problems before providing an answer.
Yes, all 4 models on Supernova 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 Supernova, 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.