Model comparison
DeepSeek V3.2 vs Nemotron 3 Nano 30B
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V3.2 #82 (Supported); Nemotron 3 Nano 30B #98 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V3.2 and Nemotron 3 Nano 30B share 11 comparable benchmark results. 0 of 8 categories are comparable. 8 results are unique to DeepSeek V3.2; 4 to Nemotron 3 Nano 30B.
Updated July 20, 2026- Shared results
- 11
- DeepSeek V3.2 only
- 8
- Nemotron 3 Nano 30B only
- 4
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek V3.2 and Nemotron 3 Nano 30B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 evidence categories; 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 Nano 30B. DeepSeek V3.2 has the larger context window at 128K, compared with 32K for Nemotron 3 Nano 30B.
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 Nano 30B |
|---|---|---|---|
| Coding | DeepSeek V3.260.9 | MarginNo overlap | Nemotron 3 Nano 30BNot measured |
| Math | DeepSeek V3.217.1 | MarginNo overlap | Nemotron 3 Nano 30BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V3.2 | Nemotron 3 Nano 30B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V3.2$0.28 input / $0.42 output | Nemotron 3 Nano 30B$0 input / $0 output | Nemotron 3 Nano 30B has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V3.235 tok/s | Nemotron 3 Nano 30B152 tok/s | Nemotron 3 Nano 30B has the higher measured throughput. |
| First-answer latencyseconds to first token | DeepSeek V3.23.75 s | Nemotron 3 Nano 30B1.90 s | Nemotron 3 Nano 30B reaches the first token sooner. |
| Context windowmaximum listed tokens | DeepSeek V3.2128K | Nemotron 3 Nano 30B32K | DeepSeek V3.2 lists the larger context window. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | DeepSeek V3.2 | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| Claw-EvalSource | 40.2% | — | Not comparable |
| VITA-BenchSource | 18.5% | — | Not comparable |
| τ²-bench resultsSource | 78.9% | 40.9% | DeepSeek V3.2 leads |
| Gert LabsSource | 29.57% | — | Not comparable |
| GDPval-AASource | — | 0.0% | Not comparable |
| GDPval-AASource | — | 484 | Not comparable |
| AA Agentic IndexSource | — | 2.0% | Not comparable |
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | DeepSeek V3.2 | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 24.7% | 14.2% | DeepSeek V3.2 leads |
| AA-GPQA DiamondSource | 75.1% | 75.7% | Nemotron 3 Nano 30B leads |
| AA-HLESource | 10.5% | 10.2% | DeepSeek V3.2 leads |
| AA-Omniscience IndexSource | -46.7% | -51.6% | DeepSeek V3.2 leads |
| AA-Omniscience AccuracySource | 24.2% | 17.1% | DeepSeek V3.2 leads |
| AA-Omniscience Hallucination RateSource | 93.5% | 82.9% | Nemotron 3 Nano 30B leads |
Math2 benchmarks
Multimodal1 benchmarks
| Benchmark | DeepSeek V3.2 | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1206 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | DeepSeek V3.2 | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| AA-IFBenchSource | 49.0% | 71.1% | Nemotron 3 Nano 30B leads |
Frequently Asked Questions (3)
Can I compare DeepSeek V3.2 and Nemotron 3 Nano 30B 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 Nano 30B today?
DeepSeek V3.2: $0.28 input / $0.42 output per 1M tokens Nemotron 3 Nano 30B: $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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