API cost decision in 10 seconds

DeepSeek V3.1 Nex N1 vs Olmo 3 32B Think

Pick DeepSeek V3.1 Nex N1 when budget and context both matter.

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

Budget verdict

Pick DeepSeek V3.1 Nex N1 when budget and context both matter.

On the standard 1M input plus 500K output workload, DeepSeek V3.1 Nex N1 is estimated at $0.39 vs $0.4 for Olmo 3 32B Think, saving $0.02 (3.8% lower).

Cost-first pickDeepSeek V3.1 Nex N1

Context-first pickDeepSeek V3.1 Nex N1

Sample savings$0.023.8%

10x traffic gap$0.15

DeepSeek V3.1 Nex N1 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.15. 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	Olmo 3 32B Think
Input-heavy / RAG	5M input + 500K output	DeepSeek V3.1 Nex N1	$0.93	$1
Balanced workload	1M input + 1M output	DeepSeek V3.1 Nex N1	$0.64	$0.65
Output-heavy chatbot	1M input + 5M output	DeepSeek V3.1 Nex N1	$2.63	$2.65

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 Tie $0.5 vs $0.5 / 1M

Both models report the same output price at $0.5 per 1M tokens.

Larger context DeepSeek V3.1 Nex N1 131.07K vs 65.54K

DeepSeek V3.1 Nex N1 has 65.54K more context (2x larger).

Sample workload DeepSeek V3.1 Nex N1 $0.39 vs $0.4

DeepSeek V3.1 Nex N1 is $0.02 cheaper on the standard workload (3.8% 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

Olmo 3 32B Think 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; both models tie on output price; DeepSeek V3.1 Nex N1 offers the larger 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 $0.4 for Olmo 3 32B Think.

Best Fit

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

Choose Olmo 3 32B Think 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 $0.4 for Olmo 3 32B Think, saving $0.02 (3.8% lower).
DeepSeek V3.1 Nex N1 is $0.02 cheaper on the standard workload (3.8% lower).
DeepSeek V3.1 Nex N1 is $0.01 cheaper per 1M input tokens (10% lower; 1.11x difference).
Both models report the same output price at $0.5 per 1M tokens.
DeepSeek V3.1 Nex N1 has 65.54K more context (2x larger).

Head-to-Head Specs

Feature	DeepSeek V3.1 Nex N1 (Nex AGI)	Olmo 3 32B Think (AllenAI)
Input Price prompt tokens per 1M	$0.135	$0.15
Completion Price per 1M tokens	$0.5	$0.5
Sample Workload Cost 1M input + 500K output	$0.39	$0.4
Context Window	131.07K	65.54K
Release Date	2025-12-08	2025-11-21

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 $0.4 for Olmo 3 32B Think, saving $0.02 (3.8% 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	Tie	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.

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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.

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Nex AGI catalog

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

Open Nex AGI models

AllenAI catalog

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

Open AllenAI 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...

Olmo 3 32B Think

Olmo 3 32B Think is a large-scale, 32-billion-parameter model purpose-built for deep reasoning, complex logic chains and advanced instruction-following scenarios. Its capacity enables strong performance on demanding evaluation tasks and...