Model comparison
DeepSeek V3 vs Nemotron 3 Ultra
Head-to-head evidence from 20 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: DeepSeek V3 unranked; Nemotron 3 Ultra #24
BenchAlign evidence: DeepSeek V3 supported; Nemotron 3 Ultra not scored. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V3 and Nemotron 3 Ultra share 20 comparable benchmark results. 3 of 8 categories are comparable. 3 results are unique to DeepSeek V3; 19 to Nemotron 3 Ultra.
Updated July 16, 2026- Shared results
- 20
- DeepSeek V3 only
- 3
- Nemotron 3 Ultra only
- 19
- Comparable categories
- 3 / 8
Pick Nemotron 3 Ultra if you want the stronger benchmark profile. DeepSeek V3 only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 20 shared benchmark results across 6 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Nemotron 3 Ultra is clearly ahead on the provisional aggregate, 60 to 38. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Nemotron 3 Ultra's sharpest advantage is in coding, where it averages 58.3 against 38.9. The single biggest benchmark swing on the page is SWE-bench Verified, 42% to 71.9%. DeepSeek V3 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
DeepSeek V3 is also the more expensive model on tokens at $0.27 input / $1.10 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Ultra. That is roughly Infinityx on output cost alone. Nemotron 3 Ultra is the reasoning model in the pair, while DeepSeek V3 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Nemotron 3 Ultra gives you the larger context window at 1M, compared with 128K for DeepSeek V3.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | DeepSeek V3 | Δ | Nemotron 3 Ultra |
|---|---|---|---|
| Coding | DeepSeek V338.9 | Margin→ 19.4 | Nemotron 3 Ultra58.3 |
| Knowledge | DeepSeek V372.8 | Margin← 18.6 | Nemotron 3 Ultra54.2 |
| Inst. Following | DeepSeek V386.1 | Margin← 4.4 | Nemotron 3 Ultra81.7 |
| Agentic | DeepSeek V3Not measured | MarginNo overlap | Nemotron 3 Ultra51.3 |
| Reasoning | DeepSeek V3Not measured | MarginNo overlap | Nemotron 3 Ultra61.9 |
| Math | DeepSeek V31.7 | MarginNo overlap | Nemotron 3 UltraNot measured |
| Multilingual | DeepSeek V3Not measured | MarginNo overlap | Nemotron 3 Ultra83.0 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Verified
CodingA 42%B 71.9%Winner: Nemotron 3 UltraΔ 29.9SWE-bench Verified: DeepSeek V3 scored 42%; Nemotron 3 Ultra scored 71.9%. Nemotron 3 Ultra wins this benchmark. - Source ↗
GPQA
KnowledgeA 59.1%B 87%Winner: Nemotron 3 UltraΔ 27.9GPQA: DeepSeek V3 scored 59.1%; Nemotron 3 Ultra scored 87%. Nemotron 3 Ultra wins this benchmark. - Source ↗
MMLU-Pro
KnowledgeA 75.9%B 86.8%Winner: Nemotron 3 UltraΔ 10.9MMLU-Pro: DeepSeek V3 scored 75.9%; Nemotron 3 Ultra scored 86.8%. Nemotron 3 Ultra wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V3 | Nemotron 3 Ultra | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V3$0.27 input / $1.1 output | Nemotron 3 Ultra$0 input / $0 output | Nemotron 3 Ultra has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V3Not available | Nemotron 3 UltraNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V3Not available | Nemotron 3 UltraNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V3128K | Nemotron 3 Ultra1M | Nemotron 3 Ultra lists the larger context window. |
Benchmark Deep Dive
Agentic12 benchmarks
| Benchmark | DeepSeek V3 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| AA Agentic IndexSource | 1.6% | 27.4% | Nemotron 3 Ultra leads |
| τ²-bench resultsSource | 22.8% | 83.3% | Nemotron 3 Ultra leads |
| GDPval-AASource | 0.0% | 33.2% | Nemotron 3 Ultra leads |
| GDPval-AASource | 217 | 1164 | Nemotron 3 Ultra leads |
| Terminal-Bench 2.0Source | — | 56.4% | Not comparable |
| PinchBenchSource | — | 90.0% | Not comparable |
| BrowseCompSource | — | 44.4% | Not comparable |
| τ³-bench resultsSource | — | 70.9% | Not comparable |
| HLE w/ toolsSource | — | 37.4% | Not comparable |
| AA BriefcaseSource | — | 870 | Not comparable |
| AA EnterpriseOps-GymSource | — | 28.9% | Not comparable |
| AA Harvey LABSource | — | 3.3% | Not comparable |
CodingNemotron 3 Ultra wins9 benchmarks
| Benchmark | DeepSeek V3 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| LiveCodeBenchSource | 37.6% | — | Not comparable |
| SWE-bench VerifiedSource | 42% | 71.9% | Nemotron 3 Ultra leads |
| AA Coding IndexSource | 23.0% | 49.3% | Nemotron 3 Ultra leads |
| Terminal-Bench HardSource | 6.8% | 36.4% | Nemotron 3 Ultra leads |
| AA-SciCodeSource | 35.4% | 39.9% | Nemotron 3 Ultra leads |
| SWE MultilingualSource | — | 67.7% | Not comparable |
| LiveCodeBench v6Source | — | 89.0% | Not comparable |
| SciCodeSource | — | 44.6% | Not comparable |
| Terminal-Bench 2.0Source | — | 56.4% | Not comparable |
Reasoning3 benchmarks
KnowledgeDeepSeek V3 wins12 benchmarks
| Benchmark | DeepSeek V3 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| GPQASource | 59.1% | 87% | Nemotron 3 Ultra leads |
| MMLU-ProSource | 75.9% | 86.8% | Nemotron 3 Ultra leads |
| Artificial Analysis Intelligence IndexSource | 14.2% | 37.8% | Nemotron 3 Ultra leads |
| AA-GPQA DiamondSource | 55.7% | 86.7% | Nemotron 3 Ultra leads |
| AA-HLESource | 3.6% | 26.6% | Nemotron 3 Ultra leads |
| AA-Omniscience IndexSource | -41.3% | -0.8% | Nemotron 3 Ultra leads |
| AA-Omniscience AccuracySource | 25.4% | 21.6% | DeepSeek V3 leads |
| AA-Omniscience Hallucination RateSource | 89.4% | 28.5% | Nemotron 3 Ultra leads |
| GPQA-DSource | — | 87.0% | Not comparable |
| HLESource | — | 26.7% | Not comparable |
| HLE w/o toolsSource | — | 26.7% | Not comparable |
| AA Openness IndexSource | — | 83.3% | Not comparable |
Math1 benchmarks
| Benchmark | DeepSeek V3 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | 1.724% | — | Not comparable |
Multilingual1 benchmarks
| Benchmark | DeepSeek V3 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| MMLU-ProXSource | — | 83% | Not comparable |
Multimodal1 benchmarks
| Benchmark | DeepSeek V3 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1154 | 1132 | DeepSeek V3 leads |
Frequently Asked Questions (4)
Which is better, DeepSeek V3 or Nemotron 3 Ultra?
Nemotron 3 Ultra is ahead on BenchLM's provisional leaderboard, 60 to 38. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 42% and 71.9%.
Which is better for knowledge tasks, DeepSeek V3 or Nemotron 3 Ultra?
DeepSeek V3 has the edge for knowledge tasks in this comparison, averaging 72.8 versus 54.2. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, DeepSeek V3 or Nemotron 3 Ultra?
Nemotron 3 Ultra has the edge for coding in this comparison, averaging 58.3 versus 38.9. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Which is better for instruction following, DeepSeek V3 or Nemotron 3 Ultra?
DeepSeek V3 has the edge for instruction following in this comparison, averaging 86.1 versus 81.7. Inside this category, AA-IFBench is the benchmark that creates the most daylight between them.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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