Model comparison
Celeris-1 vs DeepSeek V4 Pro Base
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Evidence parity. Celeris-1 and DeepSeek V4 Pro Base share 1 comparable benchmark result. 1 of 8 categories are comparable. 0 results are unique to Celeris-1; 23 to DeepSeek V4 Pro Base.
Updated July 24, 2026- Shared results
- 1
- Celeris-1 only
- 0
- DeepSeek V4 Pro Base only
- 23
- Comparable categories
- 1 / 8
Treat this as a split decision. Celeris-1 makes more sense if knowledge is the priority; DeepSeek V4 Pro Base is the better fit if you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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 DeepSeek V4 Pro Base 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.
DeepSeek V4 Pro Base gives you the larger context window at 1M, compared with 8K for Celeris-1.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Celeris-1 | Δ | DeepSeek V4 Pro Base |
|---|---|---|---|
| Knowledge | Celeris-175.9 | Margin← 9.5 | DeepSeek V4 Pro Base66.4 |
| Reasoning | Celeris-1Not measured | MarginNo overlap | DeepSeek V4 Pro Base51.5 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
MMLU-Pro
KnowledgeA 75.9%B 73.5%Winner: Celeris-1Δ 2.4MMLU-Pro: Celeris-1 scored 75.9%; DeepSeek V4 Pro Base scored 73.5%. Celeris-1 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Celeris-1 | DeepSeek V4 Pro Base | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Celeris-1$2 input / $6 output | DeepSeek V4 Pro BaseNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Celeris-1Not available | DeepSeek V4 Pro BaseNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Celeris-1Not available | DeepSeek V4 Pro BaseNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Celeris-18K | DeepSeek V4 Pro Base1M | DeepSeek V4 Pro Base lists the larger context window. |
Benchmark Deep Dive
Coding2 benchmarks
Reasoning6 benchmarks
KnowledgeCeleris-1 wins12 benchmarks
| Benchmark | Celeris-1 | DeepSeek V4 Pro Base | Result |
|---|---|---|---|
| MMLU-ProSource | 75.9% | 73.5% | Celeris-1 leads |
| AGIEvalSource | — | 83.1% | Not comparable |
| MMLUSource | — | 90.1% | Not comparable |
| MMLU-ReduxSource | — | 90.8% | Not comparable |
| MMMLUSource | — | 90.3% | Not comparable |
| C-EvalSource | — | 93.1% | Not comparable |
| CMMLUSource | — | 90.8% | Not comparable |
| MultiLoKoSource | — | 51.1% | Not comparable |
| SimpleQASource | — | 55.2% | Not comparable |
| SuperGPQASource | — | 53.9% | Not comparable |
| FACTS ParametricSource | — | 62.6% | Not comparable |
| TriviaQASource | — | 85.6% | Not comparable |
Math3 benchmarks
Multilingual1 benchmarks
| Benchmark | Celeris-1 | DeepSeek V4 Pro Base | Result |
|---|---|---|---|
| MGSMSource | — | 84.4% | Not comparable |
Frequently Asked Questions (2)
Which is better, Celeris-1 or DeepSeek V4 Pro Base?
Celeris-1 and DeepSeek V4 Pro Base 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 DeepSeek V4 Pro Base?
Celeris-1 has the edge for knowledge tasks in this comparison, averaging 75.9 versus 66.4. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
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