API cost decision in 10 seconds

Gemini 2.5 Pro vs NewNex-N2-Pro (free)

Pick Nex-N2-Pro (free) for lower cost; pick Gemini 2.5 Pro only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Nex-N2-Pro (free) for lower cost; pick Gemini 2.5 Pro only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Nex-N2-Pro (free) is estimated at $0 vs $6.25 for Gemini 2.5 Pro, saving $6.25 (100% lower).

Cost-first pickNex-N2-Pro (free)
Context-first pickGemini 2.5 Pro
Sample savings$6.25100%
10x traffic gap$62.5

Gemini 2.5 Pro has more context, but Nex-N2-Pro (free) saves $6.25 on the standard workload. At 10x that traffic, the same price gap is about $62.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Nex-N2-Pro (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGemini 2.5 ProNex-N2-Pro (free)
Input-heavy / RAG5M input + 500K outputNex-N2-Pro (free)$11.25$0
Balanced workload1M input + 1M outputNex-N2-Pro (free)$11.25$0
Output-heavy chatbot1M input + 5M outputNex-N2-Pro (free)$51.25$0
Cheaper input Nex-N2-Pro (free) $1.25 vs $0 / 1M

Nex-N2-Pro (free) is free for input tokens while Gemini 2.5 Pro costs $1.25 per 1M tokens.

Cheaper output Nex-N2-Pro (free) $10 vs $0 / 1M

Nex-N2-Pro (free) is free for output tokens while Gemini 2.5 Pro costs $10 per 1M tokens.

Larger context Gemini 2.5 Pro 1.05M vs 262.14K

Gemini 2.5 Pro has 786.43K more context (4x larger).

Sample workload Nex-N2-Pro (free) $6.25 vs $0

Nex-N2-Pro (free) is free for the standard workload while the other model is estimated at $6.25.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemini 2.5 Pro Calculating… Estimated API cost
Nex-N2-Pro (free) Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Nex-N2-Pro (free) has the lower input price; Nex-N2-Pro (free) has the lower output price; Gemini 2.5 Pro offers the larger context window. For the 1M input plus 500K output sample, Nex-N2-Pro (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $6.25 for Gemini 2.5 Pro and $0 for Nex-N2-Pro (free).

Best Fit

Choose Gemini 2.5 Pro when you care most about larger context window.

Choose Nex-N2-Pro (free) when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Nex-N2-Pro (free) is estimated at $0 vs $6.25 for Gemini 2.5 Pro, saving $6.25 (100% lower).
  • Nex-N2-Pro (free) is free for the standard workload while the other model is estimated at $6.25.
  • Nex-N2-Pro (free) is free for input tokens while Gemini 2.5 Pro costs $1.25 per 1M tokens.
  • Nex-N2-Pro (free) is free for output tokens while Gemini 2.5 Pro costs $10 per 1M tokens.
  • Gemini 2.5 Pro has 786.43K more context (4x larger).
Head-to-Head Specs
FeatureGemini 2.5 Pro
(Google)
NewNex-N2-Pro (free)
(Nex AGI)
Input Price
prompt tokens per 1M
$1.25$0
Completion Price
per 1M tokens
$10$0
Sample Workload Cost
1M input + 500K output
$6.25$0
Context Window1.05M262.14K
Release Date
Popularity#57#84

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionNex-N2-Pro (free)On the standard 1M input plus 500K output workload, Nex-N2-Pro (free) is estimated at $0 vs $6.25 for Gemini 2.5 Pro, saving $6.25 (100% lower).
High-volume input processingNex-N2-Pro (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsNex-N2-Pro (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGemini 2.5 ProA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Google catalog

Review all tracked Google models before deciding whether this matchup is the right shortlist.

Open Google models

Nex AGI catalog

Check other Nex AGI models with comparable pricing, context, or release timing.

Open Nex AGI models
Gemini 2.5 Pro

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

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Nex-N2-Pro is an agentic mixture-of-experts model from Nex AGI, with 17B active parameters out of 397B total. Built on the Qwen3.5 architecture, it accepts text and image input and produces...