API cost decision in 10 seconds

DeepSeek V3.1 Nex N1 vs INTELLECT-3

Pick DeepSeek V3.1 Nex N1 when budget is the priority.

Page updated: 2026-05-26T10:03:26Z Data confirmed: 2026-05-26T13:08:02Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick DeepSeek V3.1 Nex N1 when budget is the priority.

On the standard 1M input plus 500K output workload, DeepSeek V3.1 Nex N1 is estimated at $0.39 vs $0.75 for INTELLECT-3, saving $0.36 (48.7% lower).

Cost-first pickDeepSeek V3.1 Nex N1

Context-first pickBoth models

Sample savings$0.3648.7%

10x traffic gap$3.65

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $3.65. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

DeepSeek V3.1 Nex N1 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	DeepSeek V3.1 Nex N1	INTELLECT-3
Input-heavy / RAG	5M input + 500K output	DeepSeek V3.1 Nex N1	$0.93	$1.55
Balanced workload	1M input + 1M output	DeepSeek V3.1 Nex N1	$0.64	$1.3
Output-heavy chatbot	1M input + 5M output	DeepSeek V3.1 Nex N1	$2.63	$5.7

Cheaper input DeepSeek V3.1 Nex N1 $0.135 vs $0.2 / 1M

DeepSeek V3.1 Nex N1 is $0.07 cheaper per 1M input tokens (32.5% lower; 1.48x difference).

Cheaper output DeepSeek V3.1 Nex N1 $0.5 vs $1.1 / 1M

DeepSeek V3.1 Nex N1 is $0.6 cheaper per 1M output tokens (54.5% lower; 2.2x difference).

Larger context Tie 131.07K vs 131.07K

Both models report the same context window at 131.07K tokens.

Sample workload DeepSeek V3.1 Nex N1 $0.39 vs $0.75

DeepSeek V3.1 Nex N1 is $0.36 cheaper on the standard workload (48.7% 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

INTELLECT-3 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; DeepSeek V3.1 Nex N1 has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, DeepSeek V3.1 Nex N1 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 $0.75 for INTELLECT-3.

Best Fit

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

Choose INTELLECT-3 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, DeepSeek V3.1 Nex N1 is estimated at $0.39 vs $0.75 for INTELLECT-3, saving $0.36 (48.7% lower).
DeepSeek V3.1 Nex N1 is $0.36 cheaper on the standard workload (48.7% lower).
DeepSeek V3.1 Nex N1 is $0.07 cheaper per 1M input tokens (32.5% lower; 1.48x difference).
DeepSeek V3.1 Nex N1 is $0.6 cheaper per 1M output tokens (54.5% lower; 2.2x difference).
Both models report the same context window at 131.07K tokens.

Head-to-Head Specs

Feature	DeepSeek V3.1 Nex N1 (Nex AGI)	INTELLECT-3 (Prime Intellect)
Input Price prompt tokens per 1M	$0.135	$0.2
Completion Price per 1M tokens	$0.5	$1.1
Sample Workload Cost 1M input + 500K output	$0.39	$0.75
Context Window	131.07K	131.07K
Release Date	2025-12-08	2025-11-27

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	DeepSeek V3.1 Nex N1	On the standard 1M input plus 500K output workload, DeepSeek V3.1 Nex N1 is estimated at $0.39 vs $0.75 for INTELLECT-3, saving $0.36 (48.7% 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	DeepSeek V3.1 Nex N1	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Tie	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 Pro offers 1.05M context with $0.87 sample workload cost.

Popular competitors

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Cheaper alternatives

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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

Prime Intellect catalog

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

Open Prime Intellect 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...

INTELLECT-3

INTELLECT-3 is a 106B-parameter Mixture-of-Experts model (12B active) post-trained from GLM-4.5-Air-Base using supervised fine-tuning (SFT) followed by large-scale reinforcement learning (RL). It offers state-of-the-art performance for its size across math,...