Model comparison
Gemini 2.5 Pro vs Nemotron 3 Ultra
Head-to-head evidence from 20 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: Gemini 2.5 Pro unranked; Nemotron 3 Ultra #24
BenchAlign evidence: Gemini 2.5 Pro supported; Nemotron 3 Ultra not scored. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 2.5 Pro and Nemotron 3 Ultra share 20 comparable benchmark results. 2 of 8 categories are comparable. 5 results are unique to Gemini 2.5 Pro; 19 to Nemotron 3 Ultra.
Updated July 16, 2026- Shared results
- 20
- Gemini 2.5 Pro only
- 5
- Nemotron 3 Ultra only
- 19
- Comparable categories
- 2 / 8
Pick Nemotron 3 Ultra if you want the stronger benchmark profile. Gemini 2.5 Pro only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 20 shared benchmark results across 6 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Nemotron 3 Ultra finishes one point ahead on BenchLM's provisional leaderboard, 60 to 59. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Nemotron 3 Ultra's sharpest advantage is in knowledge, where it averages 54.2 against 27.5. The single biggest benchmark swing on the page is SWE-bench Verified, 63.8% to 71.9%. Gemini 2.5 Pro does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Gemini 2.5 Pro is also the more expensive model on tokens at $1.25 input / $10.00 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 is the reasoning model in the pair, while Gemini 2.5 Pro is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
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 | Gemini 2.5 Pro | Δ | Nemotron 3 Ultra |
|---|---|---|---|
| Knowledge | Gemini 2.5 Pro27.5 | Margin→ 26.7 | Nemotron 3 Ultra54.2 |
| Coding | Gemini 2.5 Pro63.8 | Margin← 5.5 | Nemotron 3 Ultra58.3 |
| Agentic | Gemini 2.5 ProNot measured | MarginNo overlap | Nemotron 3 Ultra51.3 |
| Reasoning | Gemini 2.5 ProNot measured | MarginNo overlap | Nemotron 3 Ultra61.9 |
| Math | Gemini 2.5 Pro11.6 | MarginNo overlap | Nemotron 3 UltraNot measured |
| Multilingual | Gemini 2.5 ProNot measured | MarginNo overlap | Nemotron 3 Ultra83.0 |
| Inst. Following | Gemini 2.5 ProNot measured | MarginNo overlap | Nemotron 3 Ultra81.7 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Verified
CodingA 63.8%B 71.9%Winner: Nemotron 3 UltraΔ 8.1SWE-bench Verified: Gemini 2.5 Pro scored 63.8%; Nemotron 3 Ultra scored 71.9%. Nemotron 3 Ultra wins this benchmark. - Source ↗
HLE
KnowledgeA 18.8%B 26.7%Winner: Nemotron 3 UltraΔ 7.9HLE: Gemini 2.5 Pro scored 18.8%; Nemotron 3 Ultra scored 26.7%. Nemotron 3 Ultra wins this benchmark. - Source ↗
GPQA
KnowledgeA 83%B 87%Winner: Nemotron 3 UltraΔ 4GPQA: Gemini 2.5 Pro scored 83%; Nemotron 3 Ultra scored 87%. Nemotron 3 Ultra wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 2.5 Pro | Nemotron 3 Ultra | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 2.5 Pro$1.25 input / $10 output | Nemotron 3 Ultra$0 input / $0 output | Nemotron 3 Ultra has the lower combined listed price. |
| Generation speedtokens per second | Gemini 2.5 Pro117 tok/s | Nemotron 3 UltraNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 2.5 Pro21.19 s | Nemotron 3 UltraNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 2.5 Pro1M | Nemotron 3 Ultra1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic13 benchmarks
| Benchmark | Gemini 2.5 Pro | Nemotron 3 Ultra | Result |
|---|---|---|---|
| AA Agentic IndexSource | 7.1% | 27.4% | Nemotron 3 Ultra leads |
| τ²-bench resultsSource | 54.1% | 83.3% | Nemotron 3 Ultra leads |
| Gert LabsSource | 42.01% | — | Not comparable |
| GDPval-AASource | 8.3% | 33.2% | Nemotron 3 Ultra leads |
| GDPval-AASource | 665 | 1164 | Nemotron 3 Ultra leads |
| Terminal-Bench 2.0Source | — | 56.4% | Not comparable |
| PinchBenchSource | — | 90.0% | Not comparable |
| BrowseCompSource | — | 44.4% | Not comparable |
| τ³-bench resultsSource | — | 70.9% | Not comparable |
| HLE w/ toolsSource | — | 37.4% | Not comparable |
| AA BriefcaseSource | — | 870 | Not comparable |
| AA EnterpriseOps-GymSource | — | 28.9% | Not comparable |
| AA Harvey LABSource | — | 3.3% | Not comparable |
CodingGemini 2.5 Pro wins9 benchmarks
| Benchmark | Gemini 2.5 Pro | Nemotron 3 Ultra | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 63.8% | 71.9% | Nemotron 3 Ultra leads |
| Vibe Code BenchSource | 0.40% | — | Not comparable |
| AA Coding IndexSource | 33.3% | 49.3% | Nemotron 3 Ultra leads |
| Terminal-Bench HardSource | 26.5% | 36.4% | Nemotron 3 Ultra leads |
| AA-SciCodeSource | 42.8% | 39.9% | Gemini 2.5 Pro 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 |
Reasoning3 benchmarks
KnowledgeNemotron 3 Ultra wins12 benchmarks
| Benchmark | Gemini 2.5 Pro | Nemotron 3 Ultra | Result |
|---|---|---|---|
| GPQASource | 83% | 87% | Nemotron 3 Ultra leads |
| HLESource | 18.8% | 26.7% | Nemotron 3 Ultra leads |
| Artificial Analysis Intelligence IndexSource | 25.8% | 37.8% | Nemotron 3 Ultra leads |
| AA-GPQA DiamondSource | 84.4% | 86.7% | Nemotron 3 Ultra leads |
| AA-HLESource | 21.1% | 26.6% | Nemotron 3 Ultra leads |
| AA-Omniscience IndexSource | -14.3% | -0.8% | Nemotron 3 Ultra leads |
| AA-Omniscience AccuracySource | 39.0% | 21.6% | Gemini 2.5 Pro leads |
| AA-Omniscience Hallucination RateSource | 87.4% | 28.5% | Nemotron 3 Ultra leads |
| GPQA-DSource | — | 87.0% | Not comparable |
| HLE w/o toolsSource | — | 26.7% | Not comparable |
| MMLU-ProSource | — | 86.8% | Not comparable |
| AA Openness IndexSource | — | 83.3% | Not comparable |
Math2 benchmarks
Multilingual1 benchmarks
| Benchmark | Gemini 2.5 Pro | Nemotron 3 Ultra | Result |
|---|---|---|---|
| MMLU-ProXSource | — | 83% | Not comparable |
Multimodal2 benchmarks
Frequently Asked Questions (3)
Which is better, Gemini 2.5 Pro or Nemotron 3 Ultra?
Nemotron 3 Ultra is ahead on BenchLM's provisional leaderboard, 60 to 59. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 63.8% and 71.9%.
Which is better for knowledge tasks, Gemini 2.5 Pro or Nemotron 3 Ultra?
Nemotron 3 Ultra has the edge for knowledge tasks in this comparison, averaging 54.2 versus 27.5. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, Gemini 2.5 Pro or Nemotron 3 Ultra?
Gemini 2.5 Pro has the edge for coding in this comparison, averaging 63.8 versus 58.3. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
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