How does Mercury 2.5 rank among AI models?
Mercury 2.5 holds ModelCap Index position #111 of 160 ranked language models as of 9 September 2026, with an Index score of 37.3 (interval 23.8–50.8); evidence: modeled · succession. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.
How much does Mercury 2.5 cost per 1M tokens?
Mercury 2.5 is listed at $0.04 per 1M input tokens and $0.15 per 1M output tokens as of 9 September 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 $0.155 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 2.5?
Mercury 2.5 has a published context window of 260K tokens (260,000) and a maximum output of 66K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.
Which API providers serve Mercury 2.5?
One provider serves Mercury 2.5 through OpenRouter as of 9 September 2026: Inception. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
How does Mercury 2.5 compare with Gemma SEA LION v4.5 E2B IT?
Mercury 2.5 ranks #111 (Index 37.3) and Gemma SEA LION v4.5 E2B IT ranks #110 (Index 38.1) on the ModelCap Index as of 9 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.