How does Mercury 3 rank among AI models?
Mercury 3 holds ModelCap Index position #167 of 352 ranked language models as of 6 November 2026, with an Index score of 39.3 (interval 25.6–53.0); evidence: modeled · succession. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.
How much does Mercury 3 cost per 1M tokens?
Mercury 3 is listed at $0.10 per 1M input tokens and $0.35 per 1M output tokens as of 6 November 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $0.375 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.
What is the context window of Mercury 3?
Mercury 3 has a published context window of 1M tokens (1,000,000). The snapshot lists a 131,072 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.
Which API providers serve Mercury 3?
One provider serves Mercury 3 through OpenRouter as of 6 November 2026: Inception. Each provider's price, context limit, quantization and measured uptime are in the providers table above.