API cost decision in 10 seconds

NewLaguna M.1 (free) vs DeepSeek V3.1 Nex N1

Pick Laguna M.1 (free) when budget is the priority.

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

Budget verdict

Pick Laguna M.1 (free) when budget is the priority.

On the standard 1M input plus 500K output workload, Laguna M.1 (free) is estimated at $0 vs $0.39 for DeepSeek V3.1 Nex N1, saving $0.39 (100% lower).

Cost-first pickLaguna M.1 (free)

Context-first pickBoth models

Sample savings$0.39100%

10x traffic gap$3.85

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $3.85. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Laguna M.1 (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Laguna M.1 (free)	DeepSeek V3.1 Nex N1
Input-heavy / RAG	5M input + 500K output	Laguna M.1 (free)	$0	$0.93
Balanced workload	1M input + 1M output	Laguna M.1 (free)	$0	$0.64
Output-heavy chatbot	1M input + 5M output	Laguna M.1 (free)	$0	$2.63

Cheaper input Laguna M.1 (free) $0 vs $0.135 / 1M

Laguna M.1 (free) is free for input tokens while DeepSeek V3.1 Nex N1 costs $0.14 per 1M tokens.

Cheaper output Laguna M.1 (free) $0 vs $0.5 / 1M

Laguna M.1 (free) is free for output tokens while DeepSeek V3.1 Nex N1 costs $0.5 per 1M tokens.

Larger context Tie 131.07K vs 131.07K

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

Sample workload Laguna M.1 (free) $0 vs $0.39

Laguna M.1 (free) is free for the standard workload while the other model is estimated at $0.39.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Laguna M.1 (free) Calculating… Estimated API cost

DeepSeek V3.1 Nex N1 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

Laguna M.1 (free) has the lower input price; Laguna M.1 (free) has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Laguna M.1 (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Laguna M.1 (free) and $0.39 for DeepSeek V3.1 Nex N1.

Best Fit

Choose Laguna M.1 (free) when you care most about lower input-token price, and lower output-token price.

Choose DeepSeek V3.1 Nex N1 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, Laguna M.1 (free) is estimated at $0 vs $0.39 for DeepSeek V3.1 Nex N1, saving $0.39 (100% lower).
Laguna M.1 (free) is free for the standard workload while the other model is estimated at $0.39.
Laguna M.1 (free) is free for input tokens while DeepSeek V3.1 Nex N1 costs $0.14 per 1M tokens.
Laguna M.1 (free) is free for output tokens while DeepSeek V3.1 Nex N1 costs $0.5 per 1M tokens.
Both models report the same context window at 131.07K tokens.

Head-to-Head Specs

Feature	NewLaguna M.1 (free) (Poolside)	DeepSeek V3.1 Nex N1 (Nex AGI)
Input Price prompt tokens per 1M	$0	$0.135
Completion Price per 1M tokens	$0	$0.5
Sample Workload Cost 1M input + 500K output	$0	$0.39
Context Window	131.07K	131.07K
Release Date	2026-04-28	2025-12-08

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Laguna M.1 (free)	On the standard 1M input plus 500K output workload, Laguna M.1 (free) is estimated at $0 vs $0.39 for DeepSeek V3.1 Nex N1, saving $0.39 (100% lower).
High-volume input processing	Laguna M.1 (free)	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Laguna M.1 (free)	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 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

Poolside catalog

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

Open Poolside models

Nex AGI catalog

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

Open Nex AGI models

Laguna M.1 (free)

Laguna M.1 is the flagship coding agent model from [Poolside](https://poolside.ai), optimized for complex software engineering tasks. Designed for agentic coding workflows, it supports tool calling and reasoning, with a 128K...

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...