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Model comparison

Celeris-1 vs GPT-5.4 Pro

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
Celeris
N/A
No comparison
60.89/100
1 category wins0 category wins

Public leaderboard positions: Celeris-1 unranked (Not scored); GPT-5.4 Pro #44 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Celeris-1 and GPT-5.4 Pro share 0 comparable benchmark results. 1 of 8 categories are comparable. 1 result is unique to Celeris-1; 12 to GPT-5.4 Pro.

Updated July 24, 2026
Shared results
0
Celeris-1 only
1
GPT-5.4 Pro only
12
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; GPT-5.4 Pro is the better fit if you need the larger 1.05M 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 GPT-5.4 Pro 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.

GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $2.00 input / $6.00 output per 1M tokens for Celeris-1. That is roughly 30.0x on output cost alone. GPT-5.4 Pro 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. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 8K for Celeris-1.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricCeleris-1GPT-5.4 ProComparison
Input / output priceUSD per 1M tokensCeleris-1$2 input / $6 outputGPT-5.4 Pro$30 input / $180 outputCeleris-1 has the lower combined listed price.
Generation speedtokens per secondCeleris-1Not availableGPT-5.4 Pro74 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenCeleris-1Not availableGPT-5.4 Pro151.79 sA complete latency comparison is not available.
Context windowmaximum listed tokensCeleris-18KGPT-5.4 Pro1.05MGPT-5.4 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkCeleris-1GPT-5.4 ProResult
BrowseCompSource 89.3%Not comparable
Reasoning
BenchmarkCeleris-1GPT-5.4 ProResult
ARC-AGI-2Source 83.3%Not comparable
CritPtSource 30.0%Not comparable
KnowledgeCeleris-1 wins
BenchmarkCeleris-1GPT-5.4 ProResult
MMLU-ProSource 75.9%Not comparable
HLESource 58.7%Not comparable
FrontierScienceSource 36.7%Not comparable
FrontierScience ResearchSource 36.7%Not comparable
HLE w/o toolsSource 42.7%Not comparable
Math
BenchmarkCeleris-1GPT-5.4 ProResult
IPhO 2025 (Theory)Source 93.5%Not comparable
FrontierMath (legacy)Source 50%Not comparable
FrontierMath v2 (Tiers 1-3)Source 50.000%Not comparable
FrontierMath v2 (Tier 4)Source 37.500%Not comparable
Multimodal
BenchmarkCeleris-1GPT-5.4 ProResult
MMMU-ProSource 94%Not comparable
Frequently Asked Questions (2)

Which is better, Celeris-1 or GPT-5.4 Pro?

Celeris-1 and GPT-5.4 Pro 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 GPT-5.4 Pro?

Celeris-1 has the edge for knowledge tasks in this comparison, averaging 75.9 versus 58.7. GPT-5.4 Pro stays close enough that the answer can still flip depending on your workload.

Related Comparisons

Last updated: July 24, 2026

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