API cost decision in 10 seconds

NewNex-N2-Pro (free) vs R1

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 $1.95 for R1, saving $1.95 (100% lower).

Cost-first pickNex-N2-Pro (free)
Context-first pickNex-N2-Pro (free)
Sample savings$1.95100%
10x traffic gap$19.5

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 $19.5. 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 pickNex-N2-Pro (free)R1
Input-heavy / RAG5M input + 500K outputNex-N2-Pro (free)$0$4.75
Balanced workload1M input + 1M outputNex-N2-Pro (free)$0$3.2
Output-heavy chatbot1M input + 5M outputNex-N2-Pro (free)$0$13.2
Cheaper input Nex-N2-Pro (free) $0 vs $0.7 / 1M

Nex-N2-Pro (free) is free for input tokens while R1 costs $0.7 per 1M tokens.

Cheaper output Nex-N2-Pro (free) $0 vs $2.5 / 1M

Nex-N2-Pro (free) is free for output tokens while R1 costs $2.5 per 1M tokens.

Larger context Nex-N2-Pro (free) 262.14K vs 163.84K

Nex-N2-Pro (free) has 98.3K more context (1.6x larger).

Sample workload Nex-N2-Pro (free) $0 vs $1.95

Nex-N2-Pro (free) is free for the standard workload while the other model is estimated at $1.95.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Nex-N2-Pro (free) Calculating… Estimated API cost
R1 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 $1.95 for R1.

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 R1 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 $1.95 for R1, saving $1.95 (100% lower).
  • Nex-N2-Pro (free) is free for the standard workload while the other model is estimated at $1.95.
  • Nex-N2-Pro (free) is free for input tokens while R1 costs $0.7 per 1M tokens.
  • Nex-N2-Pro (free) is free for output tokens while R1 costs $2.5 per 1M tokens.
  • Nex-N2-Pro (free) has 98.3K more context (1.6x larger).
Head-to-Head Specs
FeatureNewNex-N2-Pro (free)
(Nex AGI)
R1
(DeepSeek)
Input Price
prompt tokens per 1M
$0$0.7
Completion Price
per 1M tokens
$0$2.5
Sample Workload Cost
1M input + 500K output
$0$1.95
Context Window262.14K163.84K
Release Date
Popularity#84#132

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 $1.95 for R1, saving $1.95 (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
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.25 sample workload cost.
  • Owl Alpha offers 1.05M context with $0 sample workload cost.
  • DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
  • MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.

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

DeepSeek catalog

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

Open DeepSeek 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...

R1

DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....