Capabilities
7-day heat trend
−11.1%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 30% of tracked models
- Faster than 76% of tracked models
- Efficiency rank: #517 of 1105
Best suited for
Code generation, refactoring and review, and developer-tooling workloads with large context.
About voyage-code-3
Voyage Code 3 is a code-focused embedding model for repository search, code retrieval, and developer tools.
voyage-code-3 is a Code model from Voyage AI (US). HotON.ai tracks it at $0.18 per 1M input tokens and $0.00 per 1M output tokens, with a 32K-token context window, ~162 tokens/sec throughput and 96.3% availability. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
Compare voyage-code-3
Related market news
Frequently asked questions
How much does voyage-code-3 cost per 1M tokens?+
voyage-code-3 is tracked at $0.18 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.04 per 1M tokens. Figures are illustrative demo data.
What is voyage-code-3 best for?+
Code generation, refactoring and review, and developer-tooling workloads with large context.
How fast is voyage-code-3?+
voyage-code-3 delivers about 162 tokens/sec with 96.3% tracked availability, suitable for latency-sensitive, real-time applications.
Is voyage-code-3 cheaper than other AI models?+
Within the HotON.ai tracked set, voyage-code-3 is cheaper than 30% of models on input price and ranks #517 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.