Model comparison
GPT-5.2 vs Nemotron 3 Ultra
Head-to-head evidence from 16 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: GPT-5.2 #23; Nemotron 3 Ultra #24
BenchAlign evidence: GPT-5.2 estimated; Nemotron 3 Ultra not scored. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.2 and Nemotron 3 Ultra share 16 comparable benchmark results. 4 of 8 categories are comparable. 13 results are unique to GPT-5.2; 23 to Nemotron 3 Ultra.
Updated July 16, 2026- Shared results
- 16
- GPT-5.2 only
- 13
- Nemotron 3 Ultra only
- 23
- Comparable categories
- 4 / 8
Pick GPT-5.2 if you want the stronger benchmark profile. Nemotron 3 Ultra only becomes the better choice if reasoning is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 16 shared benchmark results across 6 evidence categories; 4 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
GPT-5.2 is clearly ahead on the provisional aggregate, 74 to 60. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2's sharpest advantage is in knowledge, where it averages 92.4 against 54.2. The single biggest benchmark swing on the page is BrowseComp, 65.8% to 44.4%. Nemotron 3 Ultra does hit back in reasoning, so the answer changes if that is the part of the workload you care about most.
GPT-5.2 is also the more expensive model on tokens at $1.75 input / $14.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Ultra. That is roughly Infinityx on output cost alone. Nemotron 3 Ultra gives you the larger context window at 1M, compared with 400K for GPT-5.2.
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 | GPT-5.2 | Δ | Nemotron 3 Ultra |
|---|---|---|---|
| Knowledge | GPT-5.292.4 | Margin← 38.2 | Nemotron 3 Ultra54.2 |
| Coding | GPT-5.270.6 | Margin← 12.3 | Nemotron 3 Ultra58.3 |
| Reasoning | GPT-5.252.9 | Margin→ 9.0 | Nemotron 3 Ultra61.9 |
| Agentic | GPT-5.255.7 | Margin← 4.4 | Nemotron 3 Ultra51.3 |
| Math | GPT-5.235.2 | MarginNo overlap | Nemotron 3 UltraNot measured |
| Multilingual | GPT-5.2Not measured | MarginNo overlap | Nemotron 3 Ultra83.0 |
| Multimodal | GPT-5.280.4 | MarginNo overlap | Nemotron 3 UltraNot measured |
| Inst. Following | GPT-5.2Not measured | MarginNo overlap | Nemotron 3 Ultra81.7 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
BrowseComp
AgenticA 65.8%B 44.4%Winner: GPT-5.2Δ 21.4BrowseComp: GPT-5.2 scored 65.8%; Nemotron 3 Ultra scored 44.4%. GPT-5.2 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 80%B 71.9%Winner: GPT-5.2Δ 8.1SWE-bench Verified: GPT-5.2 scored 80%; Nemotron 3 Ultra scored 71.9%. GPT-5.2 wins this benchmark. - Source ↗
GPQA
KnowledgeA 92.4%B 87%Winner: GPT-5.2Δ 5.4GPQA: GPT-5.2 scored 92.4%; Nemotron 3 Ultra scored 87%. GPT-5.2 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.2 | Nemotron 3 Ultra | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.2$1.75 input / $14 output | Nemotron 3 Ultra$0 input / $0 output | Nemotron 3 Ultra has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.273 tok/s | Nemotron 3 UltraNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.2130.34 s | Nemotron 3 UltraNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.2400K | Nemotron 3 Ultra1M | Nemotron 3 Ultra lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.2 wins15 benchmarks
| Benchmark | GPT-5.2 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| BrowseCompSource | 65.8% | 44.4% | GPT-5.2 leads |
| OSWorld-VerifiedSource | 47.3% | — | Not comparable |
| τ²-bench resultsSource | 84.8% | 83.3% | GPT-5.2 leads |
| Gert LabsSource | 46.54% | — | Not comparable |
| JobBenchSource | 34.3% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 56.4% | Not comparable |
| PinchBenchSource | — | 90.0% | Not comparable |
| τ³-bench resultsSource | — | 70.9% | Not comparable |
| GDPval-AASource | — | 33.2% | Not comparable |
| HLE w/ toolsSource | — | 37.4% | Not comparable |
| AA Agentic IndexSource | — | 27.4% | Not comparable |
| GDPval-AASource | — | 1164 | Not comparable |
| AA BriefcaseSource | — | 870 | Not comparable |
| AA EnterpriseOps-GymSource | — | 28.9% | Not comparable |
| AA Harvey LABSource | — | 3.3% | Not comparable |
CodingGPT-5.2 wins10 benchmarks
| Benchmark | GPT-5.2 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 80% | 71.9% | GPT-5.2 leads |
| SWE-bench ProSource | 55.6% | — | Not comparable |
| Vibe Code BenchSource | 53.50% | — | Not comparable |
| Terminal-Bench HardSource | 47.0% | 36.4% | GPT-5.2 leads |
| AA-SciCodeSource | 52.1% | 39.9% | GPT-5.2 leads |
| SWE MultilingualSource | — | 67.7% | Not comparable |
| LiveCodeBench v6Source | — | 89.0% | Not comparable |
| SciCodeSource | — | 44.6% | Not comparable |
| Terminal-Bench 2.0Source | — | 56.4% | Not comparable |
| AA Coding IndexSource | — | 49.3% | Not comparable |
ReasoningNemotron 3 Ultra wins4 benchmarks
KnowledgeGPT-5.2 wins12 benchmarks
| Benchmark | GPT-5.2 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| GPQASource | 92.4% | 87% | GPT-5.2 leads |
| Artificial Analysis Intelligence IndexSource | 42.2% | 37.8% | GPT-5.2 leads |
| AA-GPQA DiamondSource | 90.3% | 86.7% | GPT-5.2 leads |
| AA-HLESource | 35.4% | 26.6% | GPT-5.2 leads |
| AA-Omniscience IndexSource | -1.0% | -0.8% | Nemotron 3 Ultra leads |
| AA-Omniscience AccuracySource | 43.8% | 21.6% | GPT-5.2 leads |
| AA-Omniscience Hallucination RateSource | 79.7% | 28.5% | Nemotron 3 Ultra leads |
| GPQA-DSource | — | 87.0% | Not comparable |
| HLESource | — | 26.7% | Not comparable |
| HLE w/o toolsSource | — | 26.7% | Not comparable |
| MMLU-ProSource | — | 86.8% | Not comparable |
| AA Openness IndexSource | — | 83.3% | Not comparable |
Math3 benchmarks
Multilingual1 benchmarks
| Benchmark | GPT-5.2 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| MMLU-ProXSource | — | 83% | Not comparable |
Multimodal5 benchmarks
Frequently Asked Questions (5)
Which is better, GPT-5.2 or Nemotron 3 Ultra?
GPT-5.2 is ahead on BenchLM's provisional leaderboard, 74 to 60. The biggest single separator in this matchup is BrowseComp, where the scores are 65.8% and 44.4%.
Which is better for knowledge tasks, GPT-5.2 or Nemotron 3 Ultra?
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 54.2. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, GPT-5.2 or Nemotron 3 Ultra?
GPT-5.2 has the edge for coding in this comparison, averaging 70.6 versus 58.3. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
Which is better for reasoning, GPT-5.2 or Nemotron 3 Ultra?
Nemotron 3 Ultra has the edge for reasoning in this comparison, averaging 61.9 versus 52.9. Inside this category, CritPt is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GPT-5.2 or Nemotron 3 Ultra?
GPT-5.2 has the edge for agentic tasks in this comparison, averaging 55.7 versus 51.3. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
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