API cost decision in 10 seconds

NewNemotron 3.5 Lightning vs Laguna S 2.1

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Both models are estimated at $0.18 for the standard 1M input plus 500K output workload.

Cost-first pickTie
Context-first pickLaguna S 2.1
Sample savings$00%
10x traffic gap$0

Context-window winner: Laguna S 2.1. Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Nemotron 3.5 Lightning, balanced workload favors Laguna S 2.1, and output-heavy chatbot favors Laguna S 2.1.

Workload shapeToken mixBetter pickNemotron 3.5 LightningLaguna S 2.1
Input-heavy / RAG5M input + 500K outputNemotron 3.5 Lightning$0.5$0.54
Balanced workload1M input + 1M outputLaguna S 2.1$0.28$0.27
Output-heavy chatbot1M input + 5M outputLaguna S 2.1$1.08$0.99
Cheaper input Nemotron 3.5 Lightning $0.08 vs $0.09 / 1M

Nemotron 3.5 Lightning is $0.01 cheaper per 1M input tokens (11.1% lower; 1.12x difference).

Cheaper output Laguna S 2.1 $0.2 vs $0.18 / 1M

Laguna S 2.1 is $0.02 cheaper per 1M output tokens (10% lower; 1.11x difference).

Larger context Laguna S 2.1 262.14K vs 1.05M

Laguna S 2.1 has 786.43K more context (4x larger).

Sample workload Tie $0.18 vs $0.18

Both models have the same estimated cost for the standard 1M input plus 500K output workload: $0.18.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Nemotron 3.5 Lightning Calculating… Estimated API cost
Laguna S 2.1 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

Nemotron 3.5 Lightning has the lower input price; Laguna S 2.1 has the lower output price; Laguna S 2.1 offers the larger context window. For the 1M input plus 500K output sample, the standard workload cost is tied.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.18 for Nemotron 3.5 Lightning and $0.18 for Laguna S 2.1.

Best Fit

Choose Nemotron 3.5 Lightning when you care most about lower input-token price.

Choose Laguna S 2.1 when you care most about lower output-token price, and larger context window.

Decision Notes
  • Both models are estimated at $0.18 for the standard 1M input plus 500K output workload.
  • Both models have the same estimated cost for the standard 1M input plus 500K output workload: $0.18.
  • Nemotron 3.5 Lightning is $0.01 cheaper per 1M input tokens (11.1% lower; 1.12x difference).
  • Laguna S 2.1 is $0.02 cheaper per 1M output tokens (10% lower; 1.11x difference).
  • Laguna S 2.1 has 786.43K more context (4x larger).
Head-to-Head Specs
FeatureNewNemotron 3.5 Lightning
(NVIDIA)
Laguna S 2.1
(Poolside)
Input Price
prompt tokens per 1M
$0.08$0.09
Completion Price
per 1M tokens
$0.2$0.18
Sample Workload Cost
1M input + 500K output
$0.18$0.18
Context Window262.14K1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionTieBoth models are estimated at $0.18 for the standard 1M input plus 500K output workload.
High-volume input processingNemotron 3.5 LightningLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLaguna S 2.1Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workLaguna S 2.1A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

NVIDIA catalog

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

Open NVIDIA models

Poolside catalog

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

Open Poolside models
Nemotron 3.5 Lightning

NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that...

Laguna S 2.1

Laguna S 2.1 is the latest coding agent model from [Poolside](<https://poolside.ai/>). Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...