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Mercury 2.5 Preview

Mercury 2.5 Preview is a cost-efficient model with long context support, suited to agent workflows and advanced reasoning for enterprise teams.

Try Mercury 2.5 Preview with your team

Last reviewed: 2026-09-02

Mercury 2.5 Preview

Inception

Preview
Context Window
260,000
Input / 1M
$0.06
Output / 1M
$0.23

What can you do with Mercury 2.5 Preview?

Practical ways teams can use Mercury 2.5 Preview inside governed AI workflows.

01

Summarize long documents with Mercury 2.5 Preview

Condense contracts, policies, technical specs, RFPs, and research reports into decision-ready summaries with Mercury 2.5 Preview.

02

Support finance planning with Mercury 2.5 Preview

Draft budget narratives, explain spend drivers, create forecast assumptions, and summarize vendor costs with Mercury 2.5 Preview.

03

Prepare legal and compliance reviews with Mercury 2.5 Preview

Extract obligations, flag risky clauses, compare policy language, and prepare review checklists with Mercury 2.5 Preview.

04

Create presentations with Mercury 2.5 Preview

Turn notes, research, and meeting outcomes into structured slide outlines, speaker notes, and executive narratives with Mercury 2.5 Preview.

05

Code and debug with Mercury 2.5 Preview

Draft features, explain unfamiliar code, generate tests, review pull requests, and reason through implementation tradeoffs with Mercury 2.5 Preview.

06

Analyze spreadsheets with Mercury 2.5 Preview

Interpret CSV exports, explain variance, generate formulas, and identify operational or financial patterns with Mercury 2.5 Preview.

07

Draft customer communications with Mercury 2.5 Preview

Create support replies, sales follow-ups, onboarding emails, renewal messages, and account updates with Mercury 2.5 Preview.

08

Build workflow automations with Mercury 2.5 Preview

Plan agent steps, transform data between tools, create structured outputs, and support repeatable operations with Mercury 2.5 Preview.

09

Research competitors and markets with Mercury 2.5 Preview

Synthesize market signals, positioning, pricing context, customer segments, and competitive risks with Mercury 2.5 Preview.

10

Create knowledge-base answers with Mercury 2.5 Preview

Answer employee questions from internal policies, product docs, training material, and operating procedures with Mercury 2.5 Preview.

11

Improve security reviews with Mercury 2.5 Preview

Classify risk, draft incident summaries, review access patterns, and create remediation action lists with Mercury 2.5 Preview.

12

Generate product and marketing copy with Mercury 2.5 Preview

Create landing-page drafts, positioning variants, launch messaging, ad concepts, and campaign briefs with Mercury 2.5 Preview.

Why this model

Mercury 2.5 Preview is available in Remova as a long context option with $0.06 per 1M tokens input pricing, $0.23 per 1M tokens output pricing, and text input to text output support.

  • Mercury 2.5 Preview offers long context capacity for enterprise prompts and documents.
  • Current Remova pricing band is cost-efficient: $0.06 per 1M tokens input and $0.23 per 1M tokens output.
  • Best-fit workloads include: Agent workflows, Advanced reasoning.
  • Keep role-based access in place before broad rollout.

At a glance

Model ID
inception/mercury-2.5-preview
Context Window
260,000 tokens
Modality
Text input to text output
Input Modalities
Text
Output Modalities
Text
Input Price
$0.06 per 1M tokens
Output Price
$0.23 per 1M tokens
Provider
Inception
Listing Date
2026-08-31

Strengths

  • Mercury 2.5 Preview is suited for agent workflows.
  • Supports long context for multi-step prompts and larger working sets.
  • Pricing profile is cost-efficient, enabling predictable workload routing decisions.
  • Can be paired with policy guardrails for safer deployment at scale.

Tradeoffs

  • Policy exceptions should be monitored and reviewed on a fixed cadence.
  • Long-context prompts can increase spend and latency if prompts are not scoped carefully.
  • Low-cost tiers can still underperform on high-consequence decisions without escalation paths.
  • Text-only modality can limit workflows that rely on image, audio, or document interpretation.

Best for

  • Mercury 2.5 Preview for tool-driven automation with governance checkpoints.
  • Mercury 2.5 Preview for complex analysis and long-form decision support.
  • Mercury 2.5 Preview for repeatable team workflows that need budget and access governance.
  • Mercury 2.5 Preview for productivity use cases that still need review and escalation paths.

Rollout checklist

  • Define where Mercury 2.5 Preview is default vs. fallback in your routing policy.
  • Enable role-based access and policy checks before opening access broadly.
  • Set spend guardrails by team and monitor weekly token consumption.
  • Start with one workflow, then expand after you verify quality and spend.
  • Re-run quality and cost benchmarks monthly as newer releases appear.

Related models

Explore adjacent model profiles for routing and benchmarking decisions.

Free Resource

Where Should Your Team Start with AI?

Tell us your industry and team size. We'll tell you which AI use cases will save the most time with the least setup.

You get

A shortlist of AI use cases ranked by impact and effort for your situation.

Tuning notes

include_reasoning

Enable only where reasoning traces add operational value or review quality.

max_tokens

Set completion limits to avoid unpredictable long-output spend.

reasoning

Increase reasoning effort only for complex tasks that justify extra cost.

reasoning_effort

Use this parameter only with tested defaults in production workflows.

Free Assessment

What Could Go Wrong?

5 questions about how your company uses AI today. We'll show you the risks most companies miss until it's too late.

You get

A risk breakdown with the 3 things you should fix first.

Book demo
Knowledge Hub

Mercury 2.5 Preview FAQs

Choose Mercury 2.5 Preview when the workload aligns with agent workflows, advanced reasoning and quality targets justify its pricing profile.
It depends on workload mix. Most organizations use routing policies so routine traffic stays on lower-cost tiers.
Validate quality on real internal prompts, token efficiency, latency, and policy compliance behavior.

Deploy This Model With Governance

Use policy controls, role-based access, and budget guardrails before enabling advanced model tiers at scale.

Try Mercury 2.5 Preview with your team