Model comparison
DeepSeek V3.2 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 V3.2 #82 (Supported); Nemotron 3 Super 100B #117 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V3.2 and Nemotron 3 Super 100B share 1 comparable benchmark result. 0 of 8 categories are comparable. 18 results are unique to DeepSeek V3.2; 0 to Nemotron 3 Super 100B.
Updated July 20, 2026- Shared results
- 1
- DeepSeek V3.2 only
- 18
- Nemotron 3 Super 100B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek V3.2 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 V3.2 is priced at $0.28 input / $0.42 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Super 100B. Nemotron 3 Super 100B has the larger context window at 1M, compared with 128K for DeepSeek V3.2.
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 V3.2 | Δ | Nemotron 3 Super 100B |
|---|---|---|---|
| Coding | DeepSeek V3.260.9 | MarginNo overlap | Nemotron 3 Super 100BNot measured |
| Math | DeepSeek V3.217.1 | 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 V3.2 | Nemotron 3 Super 100B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V3.2$0.28 input / $0.42 output | Nemotron 3 Super 100B$0 input / $0 output | Nemotron 3 Super 100B has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V3.235 tok/s | Nemotron 3 Super 100B367 tok/s | Nemotron 3 Super 100B has the higher measured throughput. |
| First-answer latencyseconds to first token | DeepSeek V3.23.75 s | Nemotron 3 Super 100B0.71 s | Nemotron 3 Super 100B reaches the first token sooner. |
| Context windowmaximum listed tokens | DeepSeek V3.2128K | Nemotron 3 Super 100B1M | Nemotron 3 Super 100B lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | DeepSeek V3.2 | Nemotron 3 Super 100B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 24.7% | — | Not comparable |
| AA-GPQA DiamondSource | 75.1% | — | Not comparable |
| AA-HLESource | 10.5% | — | Not comparable |
| AA-Omniscience IndexSource | -46.7% | — | Not comparable |
| AA-Omniscience AccuracySource | 24.2% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 93.5% | — | Not comparable |
Math2 benchmarks
Multimodal1 benchmarks
| Benchmark | DeepSeek V3.2 | Nemotron 3 Super 100B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1206 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | DeepSeek V3.2 | Nemotron 3 Super 100B | Result |
|---|---|---|---|
| AA-IFBenchSource | 49.0% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare DeepSeek V3.2 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 V3.2 and Nemotron 3 Super 100B today?
DeepSeek V3.2: $0.28 input / $0.42 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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