Model comparison
Celeris-1 vs GPT-5.2-Codex
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); GPT-5.2-Codex #58 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Celeris-1 and GPT-5.2-Codex share 0 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Celeris-1; 15 to GPT-5.2-Codex.
Updated July 24, 2026- Shared results
- 0
- Celeris-1 only
- 1
- GPT-5.2-Codex only
- 15
- Comparable categories
- 0 / 8
Benchmark data for Celeris-1 and GPT-5.2-Codex 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.
GPT-5.2-Codex is priced at $1.75 input / $14.00 output per 1M tokens, versus $2.00 input / $6.00 output per 1M tokens for Celeris-1. GPT-5.2-Codex has the larger context window at 400K, 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 | GPT-5.2-Codex | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Celeris-1$2 input / $6 output | GPT-5.2-Codex$1.75 input / $14 output | Celeris-1 has the lower combined listed price. |
| Generation speedtokens per second | Celeris-1Not available | GPT-5.2-Codex123 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Celeris-1Not available | GPT-5.2-Codex87.34 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Celeris-18K | GPT-5.2-Codex400K | GPT-5.2-Codex lists the larger context window. |
Benchmark Deep Dive
Agentic3 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Celeris-1 | GPT-5.2-Codex | Result |
|---|---|---|---|
| MMLU-ProSource | 75.9% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 40.1% | Not comparable |
| AA-GPQA DiamondSource | — | 89.9% | Not comparable |
| AA-HLESource | — | 33.5% | Not comparable |
| AA-Omniscience IndexSource | — | -2.5% | Not comparable |
| AA-Omniscience AccuracySource | — | 40.7% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 72.8% | Not comparable |
Multimodal1 benchmarks
| Benchmark | Celeris-1 | GPT-5.2-Codex | Result |
|---|---|---|---|
| AA-MMMU-ProSource | — | 76.3% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Celeris-1 | GPT-5.2-Codex | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 77.6% | Not comparable |
Frequently Asked Questions (3)
Can I compare Celeris-1 and GPT-5.2-Codex 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 GPT-5.2-Codex today?
Celeris-1: $2.00 input / $6.00 output per 1M tokens GPT-5.2-Codex: $1.75 input / $14.00 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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