Model comparison
DeepSeek V4 Pro vs Nemotron 3 Super 100B
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V4 Pro #46 (Supported); Nemotron 3 Super 100B #117 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Pro and Nemotron 3 Super 100B share 1 comparable benchmark result. 0 of 8 categories are comparable. 22 results are unique to DeepSeek V4 Pro; 0 to Nemotron 3 Super 100B.
Updated July 23, 2026- Shared results
- 1
- DeepSeek V4 Pro only
- 22
- Nemotron 3 Super 100B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek V4 Pro and Nemotron 3 Super 100B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
DeepSeek V4 Pro is priced at $0.43 input / $0.87 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Super 100B.
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 V4 Pro | Δ | Nemotron 3 Super 100B |
|---|---|---|---|
| Agentic | DeepSeek V4 Pro59.1 | MarginNo overlap | Nemotron 3 Super 100BNot measured |
| Coding | DeepSeek V4 Pro65.3 | MarginNo overlap | Nemotron 3 Super 100BNot measured |
| Knowledge | DeepSeek V4 Pro41.3 | MarginNo overlap | Nemotron 3 Super 100BNot measured |
| Math | DeepSeek V4 Pro31.7 | MarginNo overlap | Nemotron 3 Super 100BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Pro | Nemotron 3 Super 100B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Pro$0.435 input / $0.87 output | Nemotron 3 Super 100B$0 input / $0 output | Nemotron 3 Super 100B has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V4 ProNot available | Nemotron 3 Super 100B367 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 ProNot available | Nemotron 3 Super 100B0.71 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Pro1M | Nemotron 3 Super 100B1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic6 benchmarks
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
Math4 benchmarks
Multimodal1 benchmarks
| Benchmark | DeepSeek V4 Pro | Nemotron 3 Super 100B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1264 | — | Not comparable |
Frequently Asked Questions (3)
Can I compare DeepSeek V4 Pro and Nemotron 3 Super 100B on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for DeepSeek V4 Pro and Nemotron 3 Super 100B today?
DeepSeek V4 Pro: $0.43 input / $0.87 output per 1M tokens Nemotron 3 Super 100B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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