Llama-3.1-Nemotron-70B-Instruct-HF: benchmark scores, price and ranking

Llama-3.1-Nemotron-70B-Instruct-HF from NVIDIA ranks #301 of 743 LLMs on the LLMs Tiger aggregate benchmark score (49.0), based on 1 benchmark results captured up to 2026-10-13.

Organisation: NVIDIA
Type: Open-weight / local model
Open weights: Yes
Cheapest API price: $0.880 in / $0.880 out per million tokens (via together_ai, observed 2026-10-13T21:47Z)
Aggregate rank: #301 of 743 (score 49.0)

Across the 1 benchmark where at least ten models are scored, Llama-3.1-Nemotron-70B-Instruct-HF is in the top 10% on 0 and in the top half on 0.

Its cheapest listed input price, $0.880 per million tokens, is lower than that of 38% of the 427 models with a listed price.

Llama-3.1-Nemotron-70B-Instruct-HF benchmark results

Llama-3.1-Nemotron-70B-Instruct-HF benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
Aider Code Editing	54.9%	#50 of 92	Aider Aider Code Editing leaderboard	2026-10-13

About Llama-3.1-Nemotron-70B-Instruct-HF

Llama-3.1-Nemotron-70B-Instruct-HF is an open-weight model that can run on your own hardware from NVIDIA. The cheapest API listing we track charges $0.880 per million input tokens and $0.880 per million output tokens, through together_ai. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where Llama-3.1-Nemotron-70B-Instruct-HF stands

On our aggregate score, Llama-3.1-Nemotron-70B-Instruct-HF is #301 of 743 ranked models, around the middle of the table. Its score is 49.0; the scale is centred on 50, so it sits 1.0 points below the typical model. That beats 59% of the ranked field. Among the 2 ranked NVIDIA models it is #1. The next one down is nvidia.nemotron-nano-9b-v2 at 46.0.

Llama-3.1-Nemotron-70B-Instruct-HF, benchmark by benchmark

Llama-3.1-Nemotron-70B-Instruct-HF lands below the middle on Aider Code Editing: 54.9%, #50 of 92, with 53% of the field scoring higher. Claude 3.5-Sonnet-20241022 leads at 84.2%; the closest result above is Grok-2-mini at 54.9%. It covers Aider official benchmark. The board median is 55.6%, so Llama-3.1-Nemotron-70B-Instruct-HF is 0.7 points below it. Source: Aider Aider Code Editing leaderboard, captured 2026-10-13.

Price and value

The median input price across the 427 priced models is $0.500 per million tokens, so Llama-3.1-Nemotron-70B-Instruct-HF costs more than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4.1 Flash (high) ($0.010, 48.9), DeepSeek V4 Flash 0731 (max) ($0.016, 53.1). Similar scores cost more on Inkling (xhigh) ($0.950) and GLM-5.1 ($0.966).

Reading these numbers

The 1 score on this page comes from 1 source: Aider Aider Code Editing leaderboard (1). 1 of them come from an official leaderboard and 0 from datasets or third-party runs. With 1 results the aggregate rank can move a lot when one new score arrives.

Models ranked nearby

#298 gpt-5.2-chat-latest-20260210 (49.1)
#299 parasail-qwen3-235b-a22b-instruct-2507 (49.0)
#300 Grok-2-mini (49.0)
#302 Qwen2.5-14B (49.0)
#303 grok-4.20-beta1 (49.0)
#304 qwen3.7-max-preview (49.0)