Model comparison
Celeris-1 vs Nemotron Ultra 253B
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: Celeris-1 unranked (Not scored); Nemotron Ultra 253B #150 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Celeris-1 and Nemotron Ultra 253B share 0 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Celeris-1; 11 to Nemotron Ultra 253B.
Updated July 24, 2026- Shared results
- 0
- Celeris-1 only
- 1
- Nemotron Ultra 253B only
- 11
- Comparable categories
- 0 / 8
Benchmark data for Celeris-1 and Nemotron Ultra 253B 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.
Celeris-1 is priced at $2.00 input / $6.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron Ultra 253B. Nemotron Ultra 253B has the larger context window at 32K, compared with 8K for Celeris-1.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Celeris-1 | Nemotron Ultra 253B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Celeris-1$2 input / $6 output | Nemotron Ultra 253B$0 input / $0 output | Nemotron Ultra 253B has the lower combined listed price. |
| Generation speedtokens per second | Celeris-1Not available | Nemotron Ultra 253BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Celeris-1Not available | Nemotron Ultra 253BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Celeris-18K | Nemotron Ultra 253B32K | Nemotron Ultra 253B lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Celeris-1 | Nemotron Ultra 253B | Result |
|---|---|---|---|
| τ²-bench resultsSource | — | 11.4% | Not comparable |
Coding1 benchmarks
| Benchmark | Celeris-1 | Nemotron Ultra 253B | Result |
|---|---|---|---|
| AA-SciCodeSource | — | 34.7% | Not comparable |
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Celeris-1 | Nemotron Ultra 253B | Result |
|---|---|---|---|
| MMLU-ProSource | 75.9% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 9.1% | Not comparable |
| AA-GPQA DiamondSource | — | 72.8% | Not comparable |
| AA-HLESource | — | 8.1% | Not comparable |
| AA-Omniscience IndexSource | — | -45.5% | Not comparable |
| AA-Omniscience AccuracySource | — | 19.9% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 81.7% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Celeris-1 | Nemotron Ultra 253B | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 38.2% | Not comparable |
Frequently Asked Questions (3)
Can I compare Celeris-1 and Nemotron Ultra 253B 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 Celeris-1 and Nemotron Ultra 253B today?
Celeris-1: $2.00 input / $6.00 output per 1M tokens Nemotron Ultra 253B: $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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