Capabilities
7-day heat trend
−12.4%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 46% of tracked models
- Efficiency rank: #551 of 1105
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About voyage-context-3
Voyage Context 3 creates contextualized chunk embeddings for document retrieval and long-context RAG pipelines.
voyage-context-3 is a Text 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, ~146 tokens/sec throughput and 97.7% availability. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
Compare voyage-context-3
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Frequently asked questions
How much does voyage-context-3 cost per 1M tokens?+
voyage-context-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-context-3 best for?+
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
How fast is voyage-context-3?+
voyage-context-3 delivers about 146 tokens/sec with 97.7% tracked availability, suitable for latency-sensitive, real-time applications.
Is voyage-context-3 cheaper than other AI models?+
Within the HotON.ai tracked set, voyage-context-3 is cheaper than 30% of models on input price and ranks #551 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.