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Model comparison

Celeris-1 vs o3-mini

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
OpenAI
47.41/100
0 category wins1 category wins

Public leaderboard positions: Celeris-1 unranked (Not scored); o3-mini #136 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Celeris-1 and o3-mini share 0 comparable benchmark results. 1 of 8 categories are comparable. 1 result is unique to Celeris-1; 10 to o3-mini.

Updated July 24, 2026
Shared results
0
Celeris-1 only
1
o3-mini only
10
Comparable categories
1 / 8

Treat this as a split decision. Celeris-1 makes more sense if you would rather avoid the extra latency and token burn of a reasoning model; o3-mini is the better fit if knowledge is the priority or you want the cheaper token bill.

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 o3-mini 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 $1.10 input / $4.40 output per 1M tokens for o3-mini. o3-mini 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. o3-mini gives you the larger context window at 200K, compared with 8K for Celeris-1.

Operational comparison

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

MetricCeleris-1o3-miniComparison
Input / output priceUSD per 1M tokensCeleris-1$2 input / $6 outputo3-mini$1.1 input / $4.4 outputo3-mini has the lower combined listed price.
Generation speedtokens per secondCeleris-1Not availableo3-mini160 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenCeleris-1Not availableo3-mini7.12 sA complete latency comparison is not available.
Context windowmaximum listed tokensCeleris-18Ko3-mini200Ko3-mini lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkCeleris-1o3-miniResult
τ²-bench resultsSource 28.7%Not comparable
Coding
BenchmarkCeleris-1o3-miniResult
SWE-bench VerifiedSource 49.3%Not comparable
AA-SciCodeSource 39.9%Not comparable
Knowledgeo3-mini wins
BenchmarkCeleris-1o3-miniResult
MMLU-ProSource 75.9%Not comparable
MMLUSource 86.9%Not comparable
GPQASource 77.2%Not comparable
Artificial Analysis Intelligence IndexSource 19.0%Not comparable
AA-GPQA DiamondSource 74.8%Not comparable
AA-HLESource 8.7%Not comparable
Math
BenchmarkCeleris-1o3-miniResult
AIME 2024Source 87.3%Not comparable
Inst. Following
BenchmarkCeleris-1o3-miniResult
IFEvalSource 93.9%Not comparable
Frequently Asked Questions (2)

Which is better, Celeris-1 or o3-mini?

Celeris-1 and o3-mini 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 o3-mini?

o3-mini has the edge for knowledge tasks in this comparison, averaging 77.2 versus 75.9. Celeris-1 stays close enough that the answer can still flip depending on your workload.

Related Comparisons

Last updated: July 24, 2026

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