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Nex AGI: Nex-N2.5-Pro API Pricing

Nex AGI: Nex-N2.5-Pro costs $0.075 per 1M input tokens and $0.250 per 1M output tokens (cache reads: $0.015). Context window: 262K. Prices verified 2026-10-21 · source

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Alternatives to consider

🏠 Same provider
Nex AGI: Nex-N2.5-Mini
$0.025 in / $0.100 out

Cheapest nex-agi model — 63% less per month

Price history
2026-09-22 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Community adoption
2K
HF downloads
677
Likes

High adoption means battle-tested weights, more fine-tunes/quants, and faster bug fixes. View on HuggingFace →

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Input / 1M tokens
$0.075
Output / 1M tokens
$0.250
Context window
262K
Max output
236K

Token economics

Token typePricevs base input
Standard input$0.075—
Cache read$0.015−80%
Output$0.250—

Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.

Reasoning behavior
Mode: Off by default (opt-in)
Effort levels:highmediumnone

Higher effort = deeper thinking = more reasoning tokens billed as output.

What would Nex AGI: Nex-N2.5-Pro cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$1.60
Coding agent5,0008,000 / 2,000$5.50
RAG pipeline30,0004,000 / 500$12.75
Doc summarizer2,00020,000 / 1,000$3.50

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About Nex AGI: Nex-N2.5-Pro

Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...

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Frequently asked questions

How much does Nex AGI: Nex-N2.5-Pro cost?

Nex AGI: Nex-N2.5-Pro costs $0.075 per 1M input tokens and $0.250 per 1M output tokens; cached input tokens cost $0.015 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

262K tokens, with up to 236K output tokens per response. That's roughly 328 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $0.015/1M, about 80% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.

What's a cheaper alternative?

ScaleDown: Summarize saves about 77% on a typical workload with comparable quality.

Official resources