Capabilities
7-day heat trend
−16.2%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 43% of tracked models
- Faster than 20% of tracked models
- Efficiency rank: #641 of 1105
Best suited for
Code generation, refactoring and review, and developer-tooling workloads with large context.
About CodeEngine
Undi95 CodeEngine is a code-oriented model card for developer workflow route metadata.
CodeEngine is a Code model from Undi95 (US). HotON.ai tracks it at $0.00 per 1M input tokens and $0.00 per 1M output tokens, with a 8K-token context window, ~131 tokens/sec throughput and 96.2% availability. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
Compare CodeEngine
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Frequently asked questions
How much does CodeEngine cost per 1M tokens?+
CodeEngine is tracked at $0.00 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.00 per 1M tokens. Figures are illustrative demo data.
What is CodeEngine best for?+
Code generation, refactoring and review, and developer-tooling workloads with large context.
How fast is CodeEngine?+
CodeEngine delivers about 131 tokens/sec with 96.2% tracked availability, suitable for latency-sensitive, real-time applications.
Is CodeEngine cheaper than other AI models?+
Within the HotON.ai tracked set, CodeEngine is cheaper than 43% of models on input price and ranks #641 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.