Model comparison
Celeris-1 vs DeepSeek V4 Flash
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Celeris-1 unranked (Not scored); DeepSeek V4 Flash #61 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Celeris-1 and DeepSeek V4 Flash share 1 comparable benchmark result. 1 of 8 categories are comparable. 0 results are unique to Celeris-1; 21 to DeepSeek V4 Flash.
Updated July 24, 2026- Shared results
- 1
- Celeris-1 only
- 0
- DeepSeek V4 Flash only
- 21
- Comparable categories
- 1 / 8
Treat this as a split decision. Celeris-1 makes more sense if knowledge is the priority; DeepSeek V4 Flash is the better fit if you want the cheaper token bill or 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 Flash 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 $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash. That is roughly 21.4x on output cost alone. DeepSeek V4 Flash 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 Flash |
|---|---|---|---|
| Knowledge | Celeris-175.9 | Margin← 37.1 | DeepSeek V4 Flash38.8 |
| Agentic | Celeris-1Not measured | MarginNo overlap | DeepSeek V4 Flash49.1 |
| Coding | Celeris-1Not measured | MarginNo overlap | DeepSeek V4 Flash64.2 |
| Math | Celeris-1Not measured | MarginNo overlap | DeepSeek V4 Flash40.8 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
MMLU-Pro
KnowledgeA 75.9%B 83%Winner: DeepSeek V4 FlashΔ 7.1MMLU-Pro: Celeris-1 scored 75.9%; DeepSeek V4 Flash scored 83%. DeepSeek V4 Flash 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 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Celeris-1$2 input / $6 output | DeepSeek V4 Flash$0.14 input / $0.28 output | DeepSeek V4 Flash has the lower combined listed price. |
| Generation speedtokens per second | Celeris-1Not available | DeepSeek V4 FlashNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Celeris-1Not available | DeepSeek V4 FlashNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Celeris-18K | DeepSeek V4 Flash1M | DeepSeek V4 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding4 benchmarks
Reasoning2 benchmarks
KnowledgeCeleris-1 wins6 benchmarks
Math4 benchmarks
Multimodal1 benchmarks
| Benchmark | Celeris-1 | DeepSeek V4 Flash | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1238 | Not comparable |
Frequently Asked Questions (2)
Which is better, Celeris-1 or DeepSeek V4 Flash?
Celeris-1 and DeepSeek V4 Flash 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 Flash?
Celeris-1 has the edge for knowledge tasks in this comparison, averaging 75.9 versus 38.8. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.