Model comparison
Celeris-1 vs Claude Sonnet 5
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); Claude Sonnet 5 #29 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Celeris-1 and Claude Sonnet 5 share 0 comparable benchmark results. 1 of 8 categories are comparable. 1 result is unique to Celeris-1; 36 to Claude Sonnet 5.
Updated July 24, 2026- Shared results
- 0
- Celeris-1 only
- 1
- Claude Sonnet 5 only
- 36
- Comparable categories
- 1 / 8
Treat this as a split decision. Celeris-1 makes more sense if knowledge is the priority or you want the cheaper token bill; Claude Sonnet 5 is the better fit if you need the larger 1M context window or you want the stronger reasoning-first profile.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 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 Claude Sonnet 5 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.
Claude Sonnet 5 is also the more expensive model on tokens at $2.00 input / $10.00 output per 1M tokens, versus $2.00 input / $6.00 output per 1M tokens for Celeris-1. Claude Sonnet 5 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. Claude Sonnet 5 gives you the larger context window at 1M, 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 | Claude Sonnet 5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Celeris-1$2 input / $6 output | Claude Sonnet 5$2 input / $10 output | Celeris-1 has the lower combined listed price. |
| Generation speedtokens per second | Celeris-1Not available | Claude Sonnet 5Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Celeris-1Not available | Claude Sonnet 5Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Celeris-18K | Claude Sonnet 51M | Claude Sonnet 5 lists the larger context window. |
Benchmark Deep Dive
Agentic13 benchmarks
| Benchmark | Celeris-1 | Claude Sonnet 5 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | — | 80.4% | Not comparable |
| BrowseCompSource | — | 84.7% | Not comparable |
| HLE w/ toolsSource | — | 57.4% | Not comparable |
| OSWorld-VerifiedSource | — | 81.2% | Not comparable |
| GDPval-AASource | — | 1607 | Not comparable |
| AA Agentic IndexSource | — | 46.7% | Not comparable |
| GDPval-AASource | — | 55.4% | Not comparable |
| AA BriefcaseSource | — | 1388 | Not comparable |
| AA AutomationBenchSource | — | 39.2% | Not comparable |
| AA EnterpriseOps-GymSource | — | 44.7% | Not comparable |
| AA Harvey LABSource | — | 90.1% | Not comparable |
| AA Tau3 BankingSource | — | 28.2% | Not comparable |
| aaTerminalBench21Source | — | 80.5% | Not comparable |
Coding9 benchmarks
| Benchmark | Celeris-1 | Claude Sonnet 5 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | — | 85.2% | Not comparable |
| SWE-bench ProSource | — | 63.2% | Not comparable |
| SWE MultilingualSource | — | 78.3% | Not comparable |
| SWE MultimodalSource | — | 28.1% | Not comparable |
| Terminal-Bench 2.0Source | — | 80.4% | Not comparable |
| FrontierCode 1.1 MainSource | — | 42.7% | Not comparable |
| cursorBench32Source | — | 61.5% | Not comparable |
| AA Coding IndexSource | — | 71.5% | Not comparable |
| AA-SciCodeSource | — | 53.6% | Not comparable |
Reasoning2 benchmarks
KnowledgeCeleris-1 wins9 benchmarks
| Benchmark | Celeris-1 | Claude Sonnet 5 | Result |
|---|---|---|---|
| MMLU-ProSource | 75.9% | — | Not comparable |
| HLESource | — | 57.4% | Not comparable |
| HLE w/o toolsSource | — | 43.2% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 53.4% | Not comparable |
| AA-GPQA DiamondSource | — | 91.1% | Not comparable |
| AA-HLESource | — | 39.6% | Not comparable |
| AA-Omniscience IndexSource | — | 15.3% | Not comparable |
| AA-Omniscience AccuracySource | — | 38.3% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 37.3% | Not comparable |
Frequently Asked Questions (2)
Which is better, Celeris-1 or Claude Sonnet 5?
Celeris-1 and Claude Sonnet 5 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 Claude Sonnet 5?
Celeris-1 has the edge for knowledge tasks in this comparison, averaging 75.9 versus 57.4. Claude Sonnet 5 stays close enough that the answer can still flip depending on your workload.
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