Pairwise benchmark snapshot · Aug 16, 2026noindex (thin pair)

Llama 3.3 70B vs NVIDIA: Nemotron 3 Super benchmark

Name: Llama 3.3 70B vs NVIDIA: Nemotron 3 Super AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Llama 3.3 70B (Meta) and NVIDIA: Nemotron 3 Super (nvidia) using the latest snapshots we have as of Aug 16, 2026. Llama 3.3 70B wins on output price at $0.32/1M. NVIDIA: Nemotron 3 Super has the larger context window (1M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Llama 3.3 70B (7)vsNVIDIA: Nemotron 3 Super (2)

Llama 3.3 70B: 7W (78%)Overall: Llama 3.3 70BNVIDIA: Nemotron 3 Super: 2W (22%)

← Llama 3.3 70BNVIDIA: Nemotron 3 Super →

Llama 3.3 70B (4/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,285vs—

Coding Elo

—vs—

SWE-bench

45.1%vs—

LiveBench

49.8%vs—

GPQA Diamond

65.7%vs—

Llama 3.3 70B: 4WNVIDIA: Nemotron 3 Super: 0W

Llama 3.3 70B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

140 tok/svs—

Time to first token

160 msvs—

Llama 3.3 70B: 2WNVIDIA: Nemotron 3 Super: 0W

NVIDIA: Nemotron 3 Super (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.32/1Mvs$0.4/1M

Input price

$0.1/1Mvs$0.08/1M

Context window

131kvs1M

Llama 3.3 70B: 1WNVIDIA: Nemotron 3 Super: 2W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageLlama 3.3 70B 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Llama 3.3 70B

$0.08/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,285

EloHigh is better

—

LiveBench

High is better

49.8%

LiveBenchHigh is better

—

SWE-bench

High is better

45.1%

SWE-benchHigh is better

—

GPQA

High is better

65.7%

GPQAHigh is better

—

TTFT

Low is better

160 ms

TTFTLow is better

—

Speed

High is better

140 tok/s

SpeedHigh is better

—

In $

Low is better

$0.1/1M

In $Low is better

$0.08/1M+18%

Out $

Low is better

+25%$0.32/1M

Out $Low is better

$0.4/1M

Context

High is better

131k

ContextHigh is better

1M+663%

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 8% with Llama 3.3 70B

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Llama 3.3 70B$8.30 / mo

In: $3.50Out: $4.80

NVIDIA: Nemotron 3 Super$8.97 / mo

In: $2.97Out: $6.00

Estimated Cost Delta

Llama 3.3 70B is estimated to save $0.67/month ($8/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Llama 3.3 70B:Pick Llama 3.3 70B when you are optimizing output cost.
2
NVIDIA: Nemotron 3 Super:Pick NVIDIA: Nemotron 3 Super for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatLlama 3.3 70B

Lower output list price ($0.32/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGNVIDIA: Nemotron 3 Super

Larger window (1M).

Screenshots / visionNVIDIA: Nemotron 3 Super

NVIDIA: Nemotron 3 Super is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Llama 3.3 70B	Lower output list price ($0.32/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	NVIDIA: Nemotron 3 Super	Larger window (1M).
Screenshots / vision	NVIDIA: Nemotron 3 Super	NVIDIA: Nemotron 3 Super is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchDec 6, 2024

Llama 3.3 70B stays as the previous Meta 70B workhorse

Dec 2024 instruct 70B. Still a self-host baseline. Llama 4 is the 2026 buy.

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LIVE

Llama 3.3 70B

Elo 1,285

LiveBench49.8%

SWE-bench45.1%

Speed140 tok/s

Output cost$0.32/1M

nvidia

NVIDIA: Nemotron 3 Super

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0.4/1M

Frequently Asked Questions

Which is better overall, Llama 3.3 70B or NVIDIA: Nemotron 3 Super?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Llama 3.3 70B or NVIDIA: Nemotron 3 Super?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: Llama 3.3 70B output tokens are $0.32/1M versus $0.4/1M. Input prices and retry rates still move the real bill.
Which is faster, Llama 3.3 70B or NVIDIA: Nemotron 3 Super?: We do not have TTFT for both models.
Which has the larger context window?: NVIDIA: Nemotron 3 Super accepts 1M tokens versus 131k.
Can I self-host either model?: Llama 3.3 70B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Llama 3.3 70B and NVIDIA: Nemotron 3 Super Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Llama 3.3 70B matchups →|All NVIDIA: Nemotron 3 Super matchups →

Llama 3.3 70B vs Llama 3.1 70B (previous llama)Llama 3.3 70B vs Llama 4 Maverick (next llama)Llama 3.1 405B vs Llama 3.3 70B Llama 4 Scout vs Llama 3.3 70B Claude Opus 4.5 vs Llama 3.3 70B Claude Opus 4.6 vs Llama 3.3 70B

Llama 3.3 70B vs NVIDIA: Nemotron 3 Super benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Llama 3.3 70B (7)vsNVIDIA: Nemotron 3 Super (2)

Llama 3.3 70B: 7W (78%)Overall: Llama 3.3 70BNVIDIA: Nemotron 3 Super: 2W (22%)

← Llama 3.3 70BNVIDIA: Nemotron 3 Super →

Llama 3.3 70B (4/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,285vs—

Coding Elo

—vs—

SWE-bench

45.1%vs—

LiveBench

49.8%vs—

GPQA Diamond

65.7%vs—

Llama 3.3 70B: 4WNVIDIA: Nemotron 3 Super: 0W

Llama 3.3 70B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

140 tok/svs—

Time to first token

160 msvs—

Llama 3.3 70B: 2WNVIDIA: Nemotron 3 Super: 0W

NVIDIA: Nemotron 3 Super (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.32/1Mvs$0.4/1M

Input price

$0.1/1Mvs$0.08/1M

Context window

131kvs1M

Llama 3.3 70B: 1WNVIDIA: Nemotron 3 Super: 2W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatLlama 3.3 70B

Lower output list price ($0.32/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGNVIDIA: Nemotron 3 Super

Larger window (1M).

Screenshots / visionNVIDIA: Nemotron 3 Super

NVIDIA: Nemotron 3 Super is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Llama 3.3 70B	Lower output list price ($0.32/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	NVIDIA: Nemotron 3 Super	Larger window (1M).
Screenshots / vision	NVIDIA: Nemotron 3 Super	NVIDIA: Nemotron 3 Super is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Llama 3.3 70B or NVIDIA: Nemotron 3 Super?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, Llama 3.3 70B or NVIDIA: Nemotron 3 Super?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

Llama 3.3 70B output tokens are $0.32/1M versus $0.4/1M. Input prices and retry rates still move the real bill.

Which is faster, Llama 3.3 70B or NVIDIA: Nemotron 3 Super?

We do not have TTFT for both models.

Which has the larger context window?

NVIDIA: Nemotron 3 Super accepts 1M tokens versus 131k.

Can I self-host either model?

Llama 3.3 70B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Llama 3.3 70B and NVIDIA: Nemotron 3 Super Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

Llama 3.3 70B

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Llama 3.3 70B stays as the previous Meta 70B workhorse

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

Llama 3.3 70B

NVIDIA: Nemotron 3 Super

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

Llama 3.3 70B

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Llama 3.3 70B stays as the previous Meta 70B workhorse

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Llama 3.3 70B

NVIDIA: Nemotron 3 Super

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons