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Head-to-head comparison

SingGuard NSFA 2B vs Llama 3.3 70B Instruct

SingGuard NSFA 2B (InclusionAI) and Llama 3.3 70B Instruct (Meta) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 17 August 2026

As of 17 August 2026, Llama 3.3 70B Instruct holds the stronger ModelCap Index position (#174 vs #176); and SingGuard NSFA 2B ships open weights.

Which should you choose?

Choose SingGuard NSFA 2B if…

  • you want to self-host: SingGuard NSFA 2B ships open weights while Llama 3.3 70B Instruct is gated access.
  • you want the more recently listed model — SingGuard NSFA 2B was listed 10 July 2026, Llama 3.3 70B Instruct 6 December 2024.

Choose Llama 3.3 70B Instruct if…

  • you want the stronger overall ModelCap Index position — #174 against #176 (20.6 vs 20.5 points).
  • you want provider choice — 12 listed API providers against 0.

SingGuard NSFA 2B vs Llama 3.3 70B Instruct: specs, pricing and context

Specification comparison of SingGuard NSFA 2B and Llama 3.3 70B Instruct
FieldSingGuard NSFA 2BInclusionAILlama 3.3 70B InstructMeta
ModelCap Index position#176#174
Index score20.520.6
EvidenceEstimatedMeasured
Input price / 1M tokensUnlisted$0.10
Output price / 1M tokensUnlisted$0.32
Context window— tokens131K tokens
Max output tokens—16K
API providers listed012
Weight accessOpen weightsGated access
Input modalitiesText, ImageText
First listed10 July 20266 December 2024
PublisherInclusionAIMeta

Evidence: publisher corpus prior · leave-one-anchor-out calibrated · 2 public benchmark observations across 2 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: SingGuard NSFA 2B vs Llama 3.3 70B Instruct

Public benchmark boards where SingGuard NSFA 2B or Llama 3.3 70B Instruct has a published result
BoardSingGuard NSFA 2BLlama 3.3 70B InstructLeads
Arena codingArena (LMArena)—13461339–1352Only one result
BFCL V4UC Berkeley (Gorilla)—31.9Function callingOnly one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

SingGuard NSFA 2B vs Llama 3.3 70B Instruct: common questions

Is SingGuard NSFA 2B better than Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct ranks higher on the ModelCap Index as of 17 August 2026: #174 against #176. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it.

Is SingGuard NSFA 2B cheaper than Llama 3.3 70B Instruct?

At least one of the two has no listed API price on ModelCap right now, so no price comparison is made.

Which has the bigger context window, SingGuard NSFA 2B or Llama 3.3 70B Instruct?

Both publish a —-token context window.

Which is better for coding, SingGuard NSFA 2B or Llama 3.3 70B Instruct?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are SingGuard NSFA 2B and Llama 3.3 70B Instruct open-weight models?

SingGuard NSFA 2B: Open weights. Llama 3.3 70B Instruct: Gated access. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run SingGuard NSFA 2B and Llama 3.3 70B Instruct?

ModelCap currently lists 0 API providers for SingGuard NSFA 2B and 12 for Llama 3.3 70B Instruct, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this SingGuard NSFA 2B vs Llama 3.3 70B Instruct comparison?

Every figure comes from the sealed ModelCap dataset published 17 August 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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