API cost decision in 10 seconds

DeepSeek V3.1 Nex N1 vs Rnj 1 Instruct

Pick Rnj 1 Instruct for lower cost; pick DeepSeek V3.1 Nex N1 only if the larger context window matters more.

Pricing data updated: 2026-05-26T11:08:00Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Rnj 1 Instruct for lower cost; pick DeepSeek V3.1 Nex N1 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Rnj 1 Instruct is estimated at $0.22 vs $0.39 for DeepSeek V3.1 Nex N1, saving $0.16 (41.6% lower).

Cost-first pickRnj 1 Instruct

Context-first pickDeepSeek V3.1 Nex N1

Sample savings$0.1641.6%

10x traffic gap$1.6

DeepSeek V3.1 Nex N1 has more context, but Rnj 1 Instruct saves $0.16 on the standard workload. At 10x that traffic, the same price gap is about $1.6. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Rnj 1 Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	DeepSeek V3.1 Nex N1	Rnj 1 Instruct
Input-heavy / RAG	5M input + 500K output	Rnj 1 Instruct	$0.93	$0.82
Balanced workload	1M input + 1M output	Rnj 1 Instruct	$0.64	$0.3
Output-heavy chatbot	1M input + 5M output	Rnj 1 Instruct	$2.63	$0.9

Cheaper input DeepSeek V3.1 Nex N1 $0.135 vs $0.15 / 1M

DeepSeek V3.1 Nex N1 is $0.01 cheaper per 1M input tokens (10% lower; 1.11x difference).

Cheaper output Rnj 1 Instruct $0.5 vs $0.15 / 1M

Rnj 1 Instruct is $0.35 cheaper per 1M output tokens (70% lower; 3.33x difference).

Larger context DeepSeek V3.1 Nex N1 131.07K vs 32.77K

DeepSeek V3.1 Nex N1 has 98.3K more context (4x larger).

Sample workload Rnj 1 Instruct $0.39 vs $0.22

Rnj 1 Instruct is $0.16 cheaper on the standard workload (41.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

DeepSeek V3.1 Nex N1 Calculating… Estimated API cost

Rnj 1 Instruct 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

DeepSeek V3.1 Nex N1 has the lower input price; Rnj 1 Instruct has the lower output price; DeepSeek V3.1 Nex N1 offers the larger context window. For the 1M input plus 500K output sample, Rnj 1 Instruct is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.39 for DeepSeek V3.1 Nex N1 and $0.22 for Rnj 1 Instruct.

Best Fit

Choose DeepSeek V3.1 Nex N1 when you care most about lower input-token price, and larger context window.

Choose Rnj 1 Instruct when you care most about lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Rnj 1 Instruct is estimated at $0.22 vs $0.39 for DeepSeek V3.1 Nex N1, saving $0.16 (41.6% lower).
Rnj 1 Instruct is $0.16 cheaper on the standard workload (41.6% lower).
DeepSeek V3.1 Nex N1 is $0.01 cheaper per 1M input tokens (10% lower; 1.11x difference).
Rnj 1 Instruct is $0.35 cheaper per 1M output tokens (70% lower; 3.33x difference).
DeepSeek V3.1 Nex N1 has 98.3K more context (4x larger).

Head-to-Head Specs

Feature	DeepSeek V3.1 Nex N1 (Nex AGI)	Rnj 1 Instruct (EssentialAI)
Input Price prompt tokens per 1M	$0.135	$0.15
Completion Price per 1M tokens	$0.5	$0.15
Sample Workload Cost 1M input + 500K output	$0.39	$0.22
Context Window	131.07K	32.77K
Release Date	2025-12-08	2025-12-07

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Rnj 1 Instruct	On the standard 1M input plus 500K output workload, Rnj 1 Instruct is estimated at $0.22 vs $0.39 for DeepSeek V3.1 Nex N1, saving $0.16 (41.6% lower).
High-volume input processing	DeepSeek V3.1 Nex N1	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Rnj 1 Instruct	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	DeepSeek V3.1 Nex N1	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.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 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.
DeepSeek V4 Flash (free) offers 1.05M context with $0 sample workload cost.

Popular competitors

No popular competitor is currently available.

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

EssentialAI catalog

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

Open EssentialAI models

DeepSeek V3.1 Nex N1

DeepSeek V3.1 Nex-N1 is the flagship release of the Nex-N1 series — a post-trained model designed to highlight agent autonomy, tool use, and real-world productivity. Nex-N1 demonstrates competitive performance across...

Rnj 1 Instruct

Rnj-1 is an 8B-parameter, dense, open-weight model family developed by Essential AI and trained from scratch with a focus on programming, math, and scientific reasoning. The model demonstrates strong performance...