Model comparison
Celeris-1 vs Nemotron 3 Ultra
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Evidence parity. Celeris-1 and Nemotron 3 Ultra share 1 comparable benchmark result. 1 of 8 categories are comparable. 0 results are unique to Celeris-1; 37 to Nemotron 3 Ultra.
Updated July 24, 2026- Shared results
- 1
- Celeris-1 only
- 0
- Nemotron 3 Ultra only
- 37
- Comparable categories
- 1 / 8
Treat this as a split decision. Celeris-1 makes more sense if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model; Nemotron 3 Ultra is the better fit if you want the cheaper token bill or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Celeris-1 and Nemotron 3 Ultra finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
Celeris-1 is also the more expensive model on tokens at $2.00 input / $6.00 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 Celeris-1 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. Nemotron 3 Ultra gives you the larger context window at 1M, compared with 8K for Celeris-1.
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 | Celeris-1 | Δ | Nemotron 3 Ultra |
|---|---|---|---|
| Knowledge | Celeris-175.9 | Margin← 22.1 | Nemotron 3 Ultra53.8 |
| Agentic | Celeris-1Not measured | MarginNo overlap | Nemotron 3 Ultra51.3 |
| Coding | Celeris-1Not measured | MarginNo overlap | Nemotron 3 Ultra58.3 |
| Reasoning | Celeris-1Not measured | MarginNo overlap | Nemotron 3 Ultra61.9 |
| Multilingual | Celeris-1Not measured | MarginNo overlap | Nemotron 3 Ultra83.0 |
| Inst. Following | Celeris-1Not measured | MarginNo overlap | Nemotron 3 Ultra81.7 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
MMLU-Pro
KnowledgeA 75.9%B 86.8%Winner: Nemotron 3 UltraΔ 10.9MMLU-Pro: Celeris-1 scored 75.9%; Nemotron 3 Ultra scored 86.8%. Nemotron 3 Ultra wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Celeris-1 | Nemotron 3 Ultra | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Celeris-1$2 input / $6 output | Nemotron 3 Ultra$0 input / $0 output | Nemotron 3 Ultra has the lower combined listed price. |
| Generation speedtokens per second | Celeris-1Not available | Nemotron 3 UltraNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Celeris-1Not available | Nemotron 3 UltraNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Celeris-18K | Nemotron 3 Ultra1M | Nemotron 3 Ultra lists the larger context window. |
Benchmark Deep Dive
Agentic13 benchmarks
| Benchmark | Celeris-1 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| 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 |
| GDPval-AASource | — | 33.2% | Not comparable |
| HLE w/ toolsSource | — | 37.4% | Not comparable |
| AA Agentic IndexSource | — | 27.4% | Not comparable |
| τ²-bench resultsSource | — | 83.3% | Not comparable |
| GDPval-AASource | — | 1164 | Not comparable |
| AA BriefcaseSource | — | 870 | Not comparable |
| AA EnterpriseOps-GymSource | — | 28.9% | Not comparable |
| AA Harvey LABSource | — | 81.7% | Not comparable |
| terminalBenchHardSource | — | 36.4% | Not comparable |
Coding6 benchmarks
Reasoning3 benchmarks
KnowledgeCeleris-1 wins12 benchmarks
| Benchmark | Celeris-1 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| MMLU-ProSource | 75.9% | 86.8% | Nemotron 3 Ultra leads |
| GPQASource | — | 87% | Not comparable |
| GPQA-DSource | — | 87.0% | Not comparable |
| HLESource | — | 26.7% | Not comparable |
| HLE w/o toolsSource | — | 26.7% | Not comparable |
| AA-Omniscience AccuracySource | — | 21.6% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 37.8% | Not comparable |
| AA-GPQA DiamondSource | — | 86.7% | Not comparable |
| AA-HLESource | — | 26.6% | Not comparable |
| AA-Omniscience IndexSource | — | -0.8% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 28.5% | Not comparable |
| AA Openness IndexSource | — | 83.3% | Not comparable |
Multilingual1 benchmarks
| Benchmark | Celeris-1 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| MMLU-ProXSource | — | 83% | Not comparable |
Multimodal1 benchmarks
| Benchmark | Celeris-1 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1129 | Not comparable |
Frequently Asked Questions (2)
Which is better, Celeris-1 or Nemotron 3 Ultra?
Celeris-1 and Nemotron 3 Ultra are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, Celeris-1 or Nemotron 3 Ultra?
Celeris-1 has the edge for knowledge tasks in this comparison, averaging 75.9 versus 53.8. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
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