Compare · ModelsLive · 2 picked · head to head
Claude Sonnet 4 vs Nemotron 3 Ultra
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Nemotron 3 Ultra wins on 5/6 benchmarks
Nemotron 3 Ultra wins 5 of 6 shared benchmarks. Leads in agentic · general · knowledge.
Category leads
agentic·Nemotron 3 Ultrageneral·Nemotron 3 Ultraknowledge·Nemotron 3 Ultramath·Nemotron 3 Ultracoding·Claude Sonnet 4
Hype vs Reality
Attention vs performance
Claude Sonnet 4
#163 by perf·#12 by attention
Nemotron 3 Ultra
#167 by perf·#11 by attention
Best value
Nemotron 3 Ultra
5.9x better value than Claude Sonnet 4
Claude Sonnet 4
5.1 pts/$
$9.00/M
Nemotron 3 Ultra
30.0 pts/$
$1.50/M
Vendor risk
Who is behind the model
Anthropic
$965.0B·Tier 1
NVIDIA
$5.33T·Big Tech
Head to head
6 benchmarks · 2 models
Claude Sonnet 4Nemotron 3 Ultra
APEX-Agents
Nemotron 3 Ultra leads by +13.4
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
Claude Sonnet 4
9.3
Nemotron 3 Ultra
22.7
Dtbench
Nemotron 3 Ultra leads by +21.8
Claude Sonnet 4
61.8
Nemotron 3 Ultra
83.5
GPQA diamond
Nemotron 3 Ultra leads by +8.2
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Claude Sonnet 4
72.3
Nemotron 3 Ultra
80.5
Lmca
Nemotron 3 Ultra leads by +9.3
Claude Sonnet 4
34.1
Nemotron 3 Ultra
43.4
OTIS Mock AIME 2024-2025
Nemotron 3 Ultra leads by +15.6
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Claude Sonnet 4
71.1
Nemotron 3 Ultra
86.7
WeirdML
Claude Sonnet 4 leads by +2.7
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Claude Sonnet 4
46.1
Nemotron 3 Ultra
43.5
Full benchmark table
| Benchmark | Claude Sonnet 4 | Nemotron 3 Ultra |
|---|---|---|
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 9.3 | 22.7 |
Dtbench | 61.8 | 83.5 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 72.3 | 80.5 |
Lmca | 34.1 | 43.4 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 71.1 | 86.7 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 46.1 | 43.5 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $3.00 | $15.00 | 200K tokens (~100 books) | $60.00 | |
| $0.60 | $2.40 | 262K tokens (~131 books) | $10.50 |