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Head-to-head comparison

Llama 3.1 Nemotron 70B Instruct HF vs Qwen2.5 Coder 32B Instruct

Llama 3.1 Nemotron 70B Instruct HF (NVIDIA) and Qwen2.5 Coder 32B Instruct (Qwen) 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 19 September 2026

As of 19 September 2026, Llama 3.1 Nemotron 70B Instruct HF holds the stronger ModelCap Index position (#187 vs #190); and Qwen2.5 Coder 32B Instruct ships open weights.

Which should you choose?

Choose Llama 3.1 Nemotron 70B Instruct HF if…

  • you want the stronger overall ModelCap Index position — #187 against #190 (17.9 vs 16.3 points).

Choose Qwen2.5 Coder 32B Instruct if…

  • you want to self-host: Qwen2.5 Coder 32B Instruct ships open weights while Llama 3.1 Nemotron 70B Instruct HF is restricted license.
  • you want provider choice — 1 listed API providers against 0.
  • you want the more recently listed model — Qwen2.5 Coder 32B Instruct was listed 11 November 2024, Llama 3.1 Nemotron 70B Instruct HF 12 October 2024.

Llama 3.1 Nemotron 70B Instruct HF vs Qwen2.5 Coder 32B Instruct: specs, pricing and context

Specification comparison of Llama 3.1 Nemotron 70B Instruct HF and Qwen2.5 Coder 32B Instruct
FieldLlama 3.1 Nemotron 70B Instruct HFNVIDIAQwen2.5 Coder 32B InstructQwen
ModelCap Index position#187#190
Index score17.916.3
EvidenceInheritedMeasured
Input price / 1M tokensUnlisted$0.66
Output price / 1M tokensUnlisted$1.00
Context window— tokens33K tokens
Max output tokens29K
API providers listed01
Weight accessRestricted licenseOpen weights
Input modalitiesTextText
First listed12 October 202411 November 2024
PublisherNVIDIAQwen

Evidence: finetune of meta-llama/llama-3.1-70b-instruct · finetune (100%) · 2 public benchmark observations across 2 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Llama 3.1 Nemotron 70B Instruct HF vs Qwen2.5 Coder 32B Instruct

Public benchmark boards where Llama 3.1 Nemotron 70B Instruct HF or Qwen2.5 Coder 32B Instruct has a published result
BoardLlama 3.1 Nemotron 70B Instruct HFQwen2.5 Coder 32B InstructLeads
Arena codingArena (LMArena)13421324–1361Only one result
SWE-benchSWE-bench (Princeton / SWE-agent team)9.0%Only one result
AA Humanity's Last ExamArtificial Analysis3.5%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Qwen2.5 Coder Instruct 32B":reasoning=falseOnly 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.

Llama 3.1 Nemotron 70B Instruct HF vs Qwen2.5 Coder 32B Instruct: common questions

Is Llama 3.1 Nemotron 70B Instruct HF better than Qwen2.5 Coder 32B Instruct?

Llama 3.1 Nemotron 70B Instruct HF ranks higher on the ModelCap Index as of 19 September 2026: #187 against #190. 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 Nemotron 70B Instruct HF cheaper than Qwen2.5 Coder 32B 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, Llama 3.1 Nemotron 70B Instruct HF or Qwen2.5 Coder 32B Instruct?

Both publish a —-token context window.

Which is better for coding, Llama 3.1 Nemotron 70B Instruct HF or Qwen2.5 Coder 32B 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 Llama 3.1 Nemotron 70B Instruct HF and Qwen2.5 Coder 32B Instruct open-weight models?

Llama 3.1 Nemotron 70B Instruct HF: Restricted license. Qwen2.5 Coder 32B Instruct: 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 Nemotron 70B Instruct HF and Qwen2.5 Coder 32B Instruct?

ModelCap currently lists 0 API providers for Llama 3.1 Nemotron 70B Instruct HF and 1 for Qwen2.5 Coder 32B Instruct, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Llama 3.1 Nemotron 70B Instruct HF vs Qwen2.5 Coder 32B Instruct comparison?

Every figure comes from the sealed ModelCap dataset published 19 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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