Model comparison
Nemotron 3 Super 100B vs Phi-4
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Nemotron 3 Super 100B #121 (Estimated); Phi-4 #202 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Nemotron 3 Super 100B and Phi-4 share 0 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Nemotron 3 Super 100B; 11 to Phi-4.
Updated July 24, 2026- Shared results
- 0
- Nemotron 3 Super 100B only
- 1
- Phi-4 only
- 11
- Comparable categories
- 0 / 8
Benchmark data for Nemotron 3 Super 100B and Phi-4 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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.
Nemotron 3 Super 100B has the larger context window at 1M, compared with 16K for Phi-4.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Nemotron 3 Super 100B | Phi-4 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Nemotron 3 Super 100B$0 input / $0 output | Phi-4$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Nemotron 3 Super 100B367 tok/s | Phi-435 tok/s | Nemotron 3 Super 100B has the higher measured throughput. |
| First-answer latencyseconds to first token | Nemotron 3 Super 100B0.71 s | Phi-42.02 s | Nemotron 3 Super 100B reaches the first token sooner. |
| Context windowmaximum listed tokens | Nemotron 3 Super 100B1M | Phi-416K | Nemotron 3 Super 100B lists the larger context window. |
Benchmark Deep Dive
Agentic2 benchmarks
Coding1 benchmarks
| Benchmark | Nemotron 3 Super 100B | Phi-4 | Result |
|---|---|---|---|
| AA-SciCodeSource | — | 26.0% | Not comparable |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Nemotron 3 Super 100B | Phi-4 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | — | 4.9% | Not comparable |
| AA-GPQA DiamondSource | — | 57.5% | Not comparable |
| AA-HLESource | — | 4.1% | Not comparable |
| AA-Omniscience IndexSource | — | -56.7% | Not comparable |
| AA-Omniscience AccuracySource | — | 13.2% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 80.5% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Nemotron 3 Super 100B | Phi-4 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 23.5% | Not comparable |
Frequently Asked Questions (3)
Can I compare Nemotron 3 Super 100B and Phi-4 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 Nemotron 3 Super 100B and Phi-4 today?
Nemotron 3 Super 100B: $0.00 input / $0.00 output per 1M tokens Phi-4: $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.