Model comparison
DeepSeek V4 Pro (Max) vs Nemotron 3 Nano 30B
Head-to-head evidence from 15 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V4 Pro (Max) unranked (Not scored); Nemotron 3 Nano 30B #98 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Pro (Max) and Nemotron 3 Nano 30B share 15 comparable benchmark results. 0 of 8 categories are comparable. 33 results are unique to DeepSeek V4 Pro (Max); 0 to Nemotron 3 Nano 30B.
Updated July 23, 2026- Shared results
- 15
- DeepSeek V4 Pro (Max) only
- 33
- Nemotron 3 Nano 30B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek V4 Pro (Max) and Nemotron 3 Nano 30B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 15 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 V4 Pro (Max) 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 Nano 30B. DeepSeek V4 Pro (Max) has the larger context window at 1M, 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 V4 Pro (Max) | Δ | Nemotron 3 Nano 30B |
|---|---|---|---|
| Agentic | DeepSeek V4 Pro (Max)74.5 | MarginNo overlap | Nemotron 3 Nano 30BNot measured |
| Coding | DeepSeek V4 Pro (Max)70.9 | MarginNo overlap | Nemotron 3 Nano 30BNot measured |
| Knowledge | DeepSeek V4 Pro (Max)60.1 | MarginNo overlap | Nemotron 3 Nano 30BNot measured |
| Math | DeepSeek V4 Pro (Max)95.2 | 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 V4 Pro (Max) | Nemotron 3 Nano 30B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Pro (Max)$0.435 input / $0.87 output | Nemotron 3 Nano 30B$0 input / $0 output | Nemotron 3 Nano 30B has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V4 Pro (Max)Not available | Nemotron 3 Nano 30B152 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 Pro (Max)Not available | Nemotron 3 Nano 30B1.90 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Pro (Max)1M | Nemotron 3 Nano 30B32K | DeepSeek V4 Pro (Max) lists the larger context window. |
Benchmark Deep Dive
Agentic17 benchmarks
| Benchmark | DeepSeek V4 Pro (Max) | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 67.9% | — | Not comparable |
| BrowseCompSource | 83.4% | — | Not comparable |
| HLE w/ toolsSource | 48.2% | — | Not comparable |
| MCP AtlasSource | 73.6% | — | Not comparable |
| GDPval-AASource | 1307 | 484 | DeepSeek V4 Pro (Max) leads |
| ToolathlonSource | 51.8% | — | Not comparable |
| AA Agentic IndexSource | 36.4% | 2.0% | DeepSeek V4 Pro (Max) leads |
| APEX-Agents-AASource | 24.3% | — | Not comparable |
| τ²-bench resultsSource | 96.2% | 40.9% | DeepSeek V4 Pro (Max) leads |
| GDPval-AASource | 40.4% | 0.0% | DeepSeek V4 Pro (Max) leads |
| AA BriefcaseSource | 932 | — | Not comparable |
| AA EnterpriseOps-GymSource | 40.4% | — | Not comparable |
| AA Harvey LABSource | 84.4% | — | Not comparable |
| AA ITBenchSource | 38.3% | — | Not comparable |
| AA Tau3 BankingSource | 25.8% | — | Not comparable |
| terminalBenchHardSource | 46.2% | — | Not comparable |
| aaTerminalBench21Source | 64% | — | Not comparable |
Coding8 benchmarks
| Benchmark | DeepSeek V4 Pro (Max) | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| CodeforcesSource | 3206.0 | — | Not comparable |
| SWE-bench VerifiedSource | 80.6% | — | Not comparable |
| SWE-bench ProSource | 55.4% | — | Not comparable |
| SWE MultilingualSource | 76.2% | — | Not comparable |
| Terminal-Bench 2.0Source | 67.9% | — | Not comparable |
| Vibe Code BenchSource | 49.93% | — | Not comparable |
| AA Coding IndexSource | 59.4% | 14.4% | DeepSeek V4 Pro (Max) leads |
| AA-SciCodeSource | 50.0% | 29.6% | DeepSeek V4 Pro (Max) leads |
Reasoning4 benchmarks
Knowledge13 benchmarks
| Benchmark | DeepSeek V4 Pro (Max) | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| MMLU-ProSource | 87.5% | — | Not comparable |
| SimpleQASource | 57.9% | — | Not comparable |
| Chinese-SimpleQASource | 84.4% | — | Not comparable |
| GPQASource | 90.1% | — | Not comparable |
| GPQA-DSource | 90.1% | — | Not comparable |
| HLESource | 37.7% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 44.3% | 14.2% | DeepSeek V4 Pro (Max) leads |
| AA-GPQA DiamondSource | 88.8% | 75.7% | DeepSeek V4 Pro (Max) leads |
| AA-HLESource | 35.9% | 10.2% | DeepSeek V4 Pro (Max) leads |
| AA-Omniscience IndexSource | -10.0% | -51.6% | DeepSeek V4 Pro (Max) leads |
| AA-Omniscience AccuracySource | 43.3% | 17.1% | DeepSeek V4 Pro (Max) leads |
| AA-Omniscience Hallucination RateSource | 94.0% | 82.9% | Nemotron 3 Nano 30B leads |
| AA Openness IndexSource | 50.0% | — | Not comparable |
Math4 benchmarks
Multimodal1 benchmarks
| Benchmark | DeepSeek V4 Pro (Max) | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1264 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | DeepSeek V4 Pro (Max) | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| AA-IFBenchSource | 76.5% | 71.1% | DeepSeek V4 Pro (Max) leads |
Frequently Asked Questions (3)
Can I compare DeepSeek V4 Pro (Max) 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 V4 Pro (Max) and Nemotron 3 Nano 30B today?
DeepSeek V4 Pro (Max): $0.43 input / $0.87 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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