Artificial Intelligence · Performance

Mercury 2.5 LLM Achieves High Speed, Moderate Intelligence and Cost

The Mercury 2.5 large language model demonstrates impressive speed at 770 tokens per second, positioning it as a top performer in its class, while also offering competitive pricing and a substantial context window.

News AutomationCompiled 01:06 UTC · 1 min read

A digital representation of artificial intelligence, symbolizing data processing and speed. · Photo by Chris Liverani on Unsplash

1 sources

Pipeline ingest

3 reads

Positive / Neutral / Negative

0 countries

Related coverage

Mercury 2.5 Intelligence, Performance & Price Analysis

Compare Try it out API Provider Benchmarks

Model summary

Intelligence Updated

#91 / 175 12 Artificial Analysis Intelligence Index

2 out of 4 units for Intelligence.

Speed

#2 / 175 770.4 Output tokens per second

4 out of 4 units for Speed.

Cost

#21 / 175 In $0.25Out $0.75Cache Discount 90%

$0.06 Cost per Intelligence Index task

2 out of 4 units for Cost.

Verbosity

#14 / 175 35M Output tokens from Intelligence Index

2 out of 4 units for Verbosity.

Comparison Summary

Mercury 2.5 is below average in intelligence, but well priced when comparing to other models of similar price. It's also notably fast and fairly concise. 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 below average among comparable models (median: 13). When evaluating the Intelligence Index, it generated 35M tokens, which is fairly concise in comparison to the median of 85M.

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). On average, it costs $0.06 per task to evaluate Mercury 2.5 on the Intelligence Index.

At 770 tokens per second, Mercury 2.5 is notably fast (109).

Technical specifications

175 models in this class

Metrics are compared against models of the same class:

Non-reasoning models → compared only with other non-reasoning models
Reasoning models → compared across both reasoning and non-reasoning
Open weights models → compared only with other open weights models of the same size class:
Tiny: ≤4B parameters
Small: 4B–40B parameters
Medium: 40B–150B parameters
Large: >150B parameters
Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
$1 per 1M tokens

Highlights

Updated

Intelligence

Artificial Analysis Intelligence Index · Higher is better

Speed

Output tokens per second · Higher is better

Cost per Task

Weighted average cost (USD) per Intelligence Index task · Lower is better

Prompt Options

IntelligenceUpdated

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v4.3.2 incorporates 10 evaluations: AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1

28 of 674 models

Add model from specific provider

AA-Briefcase v1.1 Updated

Agentic knowledge work, (Elo-500)/2000

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v4.3.2 includes: AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.

Artificial Analysis Intelligence Index by Open Weights / Proprietary

28 of 674 models

Add model from specific provider

Open Weights

Indicates whether the model weights are available. Models are labelled as 'Commercial Use Restricted' if commercial use is limited by conditions, and as 'Non-commercial' if the license prohibits commercial use.

Capability Indexes

Measures the performance of models on specific capabilities and industries

Finance & AccountingStrategy & OpsLegalEngineeringEconomics

Artificial Analysis Finance & Accounting Index

Incorporates 7 evaluations: AA-Omniscience, GDPval-AA v2.1, AA-Briefcase v1.1, Humanity's Last Exam, AutomationBench-AA, AA-LCR v1.1, GDP.pdf · Higher is better

28 of 171 models

Add model from specific provider

Benchmarks

Intelligence Evaluations

Intelligence evaluations measured independently by Artificial Analysis · Higher is better

CodingAgenticTool UsePrivate DatasetUser InteractionFinanceMedicalLegalIntelligence IndexLong ContextMultimodalInstruction FollowingFaithfulnessWritingBusiness See more

18 of 26 evaluations

28 of 674 models

Add model from specific provider

GDPval-AA v2.1 Updated

Agentic real-world work tasks, (Elo-500)/2000

AutomationBench-AA Updated

Agentic SaaS workflows

Terminal-Bench 4.0 New

Agentic coding & terminal use

SciCode

Coding

Humanity's Last Exam