Textby 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...

  • By price it is in the cheaper half of the 343 text models GenMagic runs (43rd cheapest).
  • It was listed on Sep 8, 2026.

Data last changed Nov 1, 2026 · tracked since Oct 29, 2026 · Every model change

Try Nex-N2.5-Pro

Generate with Nex-N2.5-Pro right here. Verify your email to start with free credits.

Try

Specifications

Context window

262K tokens

Max output

236K tokens

Input price

$0.11 / 1M tokens

Output price

$0.38 / 1M tokens

Cached input

$0.022 / 1M tokens

Capabilities

Reasoning

Works through multi-step problems before answering, for harder tasks.

Vision input

Accepts images alongside text, so you can prompt with pictures and screenshots.

Tool use

Can call functions and tools, enabling agentic and structured workflows.

Structured output

Returns validated JSON that conforms to a schema you define.

Use Nex-N2.5-Pro through the API

The model id is nex-agi/nex-n2.5-pro. Requests bill your GenMagic balance at the price above, and each response reports what it cost.

curl
curl https://genmagic.co/api/v1/chat/completions \
  -H "Authorization: Bearer $GENMAGIC_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nex-agi/nex-n2.5-pro",
    "messages": [{ "role": "user", "content": "Explain vector databases in two sentences." }]
  }'
Python (openai SDK)
from openai import OpenAI

client = OpenAI(base_url="https://genmagic.co/api/v1", api_key="YOUR_GENMAGIC_API_KEY")

resp = client.chat.completions.create(
    model="nex-agi/nex-n2.5-pro",
    messages=[{"role": "user", "content": "Explain vector databases in two sentences."}],
)
print(resp.choices[0].message.content)

From an AI agent, call generate_text with "model": "nex-agi/nex-n2.5-pro" on the GenMagic MCP server. Keys, limits and every endpoint are in the API documentation.

Use Nex-N2.5-Pro in n8n

  1. In n8n, open the nodes panel, search for GenMagic and install it (a verified community node), then add it to your workflow.
  2. Set Resource to Text and Operation to Generate.
  3. In Model Name or ID, pick Nex AGI: Nex-N2.5-Pro, or enter nex-agi/nex-n2.5-pro as an expression.
  4. Connect your GenMagic API key (get one free). Each run is billed at the price above, and the node returns what it cost.

Ready-to-import workflows that already use the node are on GenMagic for n8n.

Similar-priced text models from other providers

Other text models GenMagic runs at a comparable price, on the same balance and API key.

ModelProviderPriceContext
Nex AGI: Nex-N2.5-Pro (this model)NEX-AGI$0.11 in / $0.38 out per 1M tokens262K
Qwen: Qwen3.5-FlashQwen$0.098 in / $0.39 out per 1M tokens1M
IBM: Granite 4.2 8BIBM Granite$0.09 in / $0.38 out per 1M tokens131K
inclusionAI: Ling 3.1 FlashinclusionAI$0.11 in / $0.34 out per 1M tokens1M
Mistral: Ministral 3 8B 2512Mistral AI$0.23 in / $0.23 out per 1M tokens262K
Meta: Muse Spark 1.3 ContributorMeta$0.15 in / $0.30 out per 1M tokens1M

More from NEX-AGI

Price and listing history

Every change GenMagic has recorded for Nex-N2.5-Pro since it began tracking the model on Oct 29, 2026. Prices are GenMagic's, the same the studio and the API charge.

DateChangeBeforeAfter
Nov 1, 2026Price up 36%$0.083 in / $0.28 out per 1M tokens$0.11 in / $0.38 out per 1M tokens

Where these figures come from

  • Price: GenMagic's own price, what the studio and the API charge, recomputed from the provider's price list every few minutes and recorded daily. How pricing works.
  • Specs and description: as NEX-AGI publishes them (model card on Hugging Face), checked daily.
  • Changes: the data on this page last changed on Nov 1, 2026, tracked since Oct 29, 2026. Every model's new listings, price changes and retirements are in the model changes log, and how every figure on GenMagic is sourced is on our sources page.

Generate with Nex-N2.5-Pro today

One GenMagic plan unlocks Nex-N2.5-Pro and every other model across text, image, audio, and video.