Mercury 2.5 LLM hits 770 tokens per second
The model supports text input, outputs text, and has a 260k tokens context window.Mercury 2.5 scores 12 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (median: 12). When evaluating the Intelligence Index, it generated 35M tokens, which is fairly concise in comparison to the median of 84M.Pricing for Mercury 2.5 is $0.25 per 1M input tokens (moderately priced, median: $0.25) and $0.75 per 1M output tokens (moderately priced, median: $0.90). See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.Open WeightsIndicates whether the model weights are available.
- ▪The model supports text input, outputs text, and has a 260k tokens context window.Mercury 2.5 scores 12 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (median: 12).
- ▪When evaluating the Intelligence Index, it generated 35M tokens, which is fairly concise in comparison to the median of 84M.Pricing for Mercury 2.5 is $0.25 per 1M input tokens (moderately priced, median: $0.25) and $0.75 per 1M output toke
- ▪See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.Open WeightsIndicates whether the model weights are available.
Hacker News (AI / LLM) files mainly under ai. We currently carry 6,201 of its stories.
Story provenance
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Artificialanalysis |
| Canonical URL | https://artificialanalysis.ai/models/mercury-2-5 |
| Publication time | Wed, 23 Sep 2026 22:16:19 +0000 |
| Retrieval time | 2026-09-23T22:29:55.305Z |
| Last seen | 2026-09-23T22:29:55.305Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | U5w06e2vVvel · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Artificial AnalysisKArtificial AnalysisModelsCoding AgentsImage, Speech, VideoInferenceLeaderboardsAboutAI TrendsKInception•Proprietary model•Released September 2026Mercury 2.5 Intelligence, Performance & Price AnalysisCompareTry it out API Provider Benchmarks Model summaryIntelligenceUpdated#91 / 18412Artificial Analysis Intelligence Index3 out of 4 units for Intelligence.Speed#2 / 184770.4Output tokens per second4 out of 4 units for Speed.Cost#22 / 184In $0.25Out $0.75Cache Discount 90%$0.06Cost per Intelligence Index task2 out of 4 units for Cost.Verbosity#16 / 18435MOutput tokens from Intelligence Index2 out of 4 units for Verbosity.Comparison SummaryMercury 2.5 is above average in intelligence and well priced when comparing to other models of similar price.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Artificialanalysis.
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