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Head-to-head comparison

Llama 3.1 SuperNova Lite vs HiLS Attention 7B

Llama 3.1 SuperNova Lite (Arcee AI) and HiLS Attention 7B (Tencent) 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 22 September 2026

As of 22 September 2026, HiLS Attention 7B holds the stronger ModelCap Index position (#228 vs #229); and HiLS Attention 7B ships open weights.

Which should you choose?

Choose Llama 3.1 SuperNova Lite if…

  • ModelCap publishes no field on which Llama 3.1 SuperNova Lite leads HiLS Attention 7B for this pair.

Choose HiLS Attention 7B if…

  • you want the stronger overall ModelCap Index position — #228 against #229 (8.6 vs 7.6 points).
  • you want to self-host: HiLS Attention 7B ships open weights while Llama 3.1 SuperNova Lite is restricted license.
  • you want the more recently listed model — HiLS Attention 7B was listed 9 July 2026, Llama 3.1 SuperNova Lite 10 September 2024.

Llama 3.1 SuperNova Lite vs HiLS Attention 7B: specs, pricing and context

Specification comparison of Llama 3.1 SuperNova Lite and HiLS Attention 7B
FieldLlama 3.1 SuperNova LiteArcee AIHiLS Attention 7BTencent
ModelCap Index position#229#228
Index score7.68.6
EvidenceInheritedInherited
Input price / 1M tokensUnlistedUnlisted
Output price / 1M tokensUnlistedUnlisted
Context window— tokens— tokens
Max output tokens——
API providers listed00
Weight accessRestricted licenseOpen weights
Input modalitiesTextText
First listed10 September 20249 July 2026
PublisherArcee AITencent

Evidence: base of meta-llama/llama-3.1-8b-instruct · base (100%) · finetune of allenai/Olmo-3-1025-7B · finetune (100%). Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Llama 3.1 SuperNova Lite vs HiLS Attention 7B

Neither model has a published result on a public benchmark board ModelCap tracks yet.

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.

Llama 3.1 SuperNova Lite vs HiLS Attention 7B: common questions

Is Llama 3.1 SuperNova Lite better than HiLS Attention 7B?

HiLS Attention 7B ranks higher on the ModelCap Index as of 22 September 2026: #228 against #229. 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. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.

Is Llama 3.1 SuperNova Lite cheaper than HiLS Attention 7B?

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, Llama 3.1 SuperNova Lite or HiLS Attention 7B?

Both publish a —-token context window.

Which is better for coding, Llama 3.1 SuperNova Lite or HiLS Attention 7B?

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 Llama 3.1 SuperNova Lite and HiLS Attention 7B open-weight models?

Llama 3.1 SuperNova Lite: Restricted license. HiLS Attention 7B: Open weights. 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 Llama 3.1 SuperNova Lite and HiLS Attention 7B?

ModelCap currently lists 0 API providers for Llama 3.1 SuperNova Lite and 0 for HiLS Attention 7B, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Llama 3.1 SuperNova Lite vs HiLS Attention 7B comparison?

Every figure comes from the sealed ModelCap dataset published 22 September 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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