API cost decision in 10 seconds

NewNex-N2-Pro (free) vs Phi 4

Pick Nex-N2-Pro (free) when budget and context both matter.

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

Budget verdict

Pick Nex-N2-Pro (free) when budget and context both matter.

On the standard 1M input plus 500K output workload, Nex-N2-Pro (free) is estimated at $0 vs $0.14 for Phi 4, saving $0.14 (100% lower).

Cost-first pickNex-N2-Pro (free)
Context-first pickNex-N2-Pro (free)
Sample savings$0.14100%
10x traffic gap$1.35

Nex-N2-Pro (free) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.35. 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 pickNex-N2-Pro (free)Phi 4
Input-heavy / RAG5M input + 500K outputNex-N2-Pro (free)$0$0.4
Balanced workload1M input + 1M outputNex-N2-Pro (free)$0$0.21
Output-heavy chatbot1M input + 5M outputNex-N2-Pro (free)$0$0.77
Cheaper input Nex-N2-Pro (free) $0 vs $0.065 / 1M

Nex-N2-Pro (free) is free for input tokens while Phi 4 costs $0.07 per 1M tokens.

Cheaper output Nex-N2-Pro (free) $0 vs $0.14 / 1M

Nex-N2-Pro (free) is free for output tokens while Phi 4 costs $0.14 per 1M tokens.

Larger context Nex-N2-Pro (free) 262.14K vs 16.38K

Nex-N2-Pro (free) has 245.76K more context (16x larger).

Sample workload Nex-N2-Pro (free) $0 vs $0.14

Nex-N2-Pro (free) is free for the standard workload while the other model is estimated at $0.14.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Nex-N2-Pro (free) Calculating… Estimated API cost
Phi 4 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; Nex-N2-Pro (free) 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 $0 for Nex-N2-Pro (free) and $0.14 for Phi 4.

Best Fit

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

Choose Phi 4 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, Nex-N2-Pro (free) is estimated at $0 vs $0.14 for Phi 4, saving $0.14 (100% lower).
  • Nex-N2-Pro (free) is free for the standard workload while the other model is estimated at $0.14.
  • Nex-N2-Pro (free) is free for input tokens while Phi 4 costs $0.07 per 1M tokens.
  • Nex-N2-Pro (free) is free for output tokens while Phi 4 costs $0.14 per 1M tokens.
  • Nex-N2-Pro (free) has 245.76K more context (16x larger).
Head-to-Head Specs
FeatureNewNex-N2-Pro (free)
(Nex AGI)
Phi 4
(Microsoft)
Input Price
prompt tokens per 1M
$0$0.065
Completion Price
per 1M tokens
$0$0.14
Sample Workload Cost
1M input + 500K output
$0$0.14
Context Window262.14K16.38K
Release Date
Popularity#84#139

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 $0.14 for Phi 4, saving $0.14 (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 workNex-N2-Pro (free)A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • No lower-cost same-provider swap is currently tracked for this pair.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

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

Open provider hubs

Nex AGI catalog

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

Open Nex AGI models

Microsoft catalog

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

Open Microsoft models
Nex-N2-Pro (free)

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...

Phi 4

[Microsoft Research](/microsoft) Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed. At 14 billion...