Compare · ModelsLive · 2 picked · head to head
R1 Distill Llama 70B vs Nemotron 3 Ultra
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Nemotron 3 Ultra wins on 2/2 benchmarks
Nemotron 3 Ultra wins 2 of 2 shared benchmarks. Leads in speed.
Category leads
speed·Nemotron 3 Ultra
Hype vs Reality
Attention vs performance
R1 Distill Llama 70B
#232 by perf·no signal
Nemotron 3 Ultra
#105 by perf·no signal
Best value
Nemotron 3 Ultra
1.1x better value than R1 Distill Llama 70B
R1 Distill Llama 70B
34.8 pts/$
$0.80/M
Nemotron 3 Ultra
38.4 pts/$
$1.35/M
Vendor risk
Mixed exposure
One or more vendors flagged
DeepSeek
$3.4B·Tier 1
NVIDIA
$4.50T·Big Tech
Head to head
2 benchmarks · 2 models
R1 Distill Llama 70BNemotron 3 Ultra
Artificial Analysis · Coding Index
Nemotron 3 Ultra leads by +37.8
Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads.
R1 Distill Llama 70B
11.4
Nemotron 3 Ultra
49.3
Artificial Analysis · Quality Index
Nemotron 3 Ultra leads by +21.8
R1 Distill Llama 70B
15.9
Nemotron 3 Ultra
37.8
Full benchmark table
| Benchmark | R1 Distill Llama 70B | Nemotron 3 Ultra |
|---|---|---|
Artificial Analysis · Coding Index Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads. | 11.4 | 49.3 |
Artificial Analysis · Quality Index | 15.9 | 37.8 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.80 | $0.80 | 128K tokens (~64 books) | $8.00 | |
| $0.50 | $2.20 | 1.0M tokens (~500 books) | $9.25 |