# Celeris-1 vs DeepSeek V3

> Side-by-side benchmark comparison for Celeris-1 and DeepSeek V3 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/celeris-1-vs-deepseek-v3
- Last updated: September 4, 2026

- Shared sourced benchmarks: 2
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

Evidence is too thin for a benchmark verdict: Celeris-1 and DeepSeek V3 share only 2 sourced benchmark rows.

## Summary

- Only 2 shared sourced benchmark rows are available. That is not enough for a broad capability verdict, so this mirror does not name an overall winner.
- Celeris-1 has the lower published output-token price.

## Model Snapshot

| Property | Celeris-1 | DeepSeek V3 |
|----------|----------|----------|
| Creator | Celeris | DeepSeek |
| Type | Proprietary | Open Weight |
| Reasoning | Non-Reasoning | Non-Reasoning |
| Context | 128K | 128K |
| Independent public score (not head-to-head) | null | 43.74 |
| Benchmarks Covered | 4 | 6 |
| Pricing (input/output) | $0.20 / $0.70 | $0.27 / $1.10 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- Celeris-1 public-lane score: Coming soon
- DeepSeek V3 public-lane score: 38.5 (Estimated · #124/151)

### Coding

- Winner: Insufficient shared evidence
- Celeris-1 public-lane score: Coming soon
- DeepSeek V3 public-lane score: 41.1 (Estimated · #135/183)

| Benchmark | Celeris-1 | DeepSeek V3 | Winner |
|-----------|-----------|-----------|--------|
| LiveCodeBench | Coming soon | 37.6% | Coming soon |
| SWE-bench Verified | Coming soon | 42% | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- Celeris-1 public-lane score: 47.8 (Unranked · 3 rankable rows)
- DeepSeek V3 public-lane score: 43.8 (Unranked · 2 rankable rows)

| Benchmark | Celeris-1 | DeepSeek V3 | Winner |
|-----------|-----------|-----------|--------|
| DROP | 81.4% | Coming soon | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- Celeris-1 public-lane score: Coming soon
- DeepSeek V3 public-lane score: 40.7 (Estimated · #136/181)

| Benchmark | Celeris-1 | DeepSeek V3 | Winner |
|-----------|-----------|-----------|--------|
| MMLU-Pro | 75.9% | 75.9% | Tie |
| GPQA | Coming soon | 59.1% | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- Celeris-1 public-lane score: Coming soon
- DeepSeek V3 public-lane score: 39.6 (#102/120)

| Benchmark | Celeris-1 | DeepSeek V3 | Winner |
|-----------|-----------|-----------|--------|
| IFEval | 80.8% | 86.1% | DeepSeek V3 |

### Mathematics

- Winner: Insufficient shared evidence
- Celeris-1 public-lane score: Coming soon
- DeepSeek V3 public-lane score: 26.2 (Unranked · 1 rankable row)

| Benchmark | Celeris-1 | DeepSeek V3 | Winner |
|-----------|-----------|-----------|--------|
| GSM8K | 93.7% | Coming soon | Coming soon |
| FrontierMath v2 (Tiers 1-3) | Coming soon | 1.724% | Coming soon |

## FAQ

### Is there enough evidence to pick between Celeris-1 and DeepSeek V3?

Not yet. The models share only 2 sourced benchmark rows, so this mirror reports the available measurements and metadata without naming a broad winner.

### What can I compare safely on this page?

Published pricing, context windows, model type, and individual shared benchmark rows are directly comparable. Independent overall scores and non-overlapping benchmark coverage are labeled separately and should not be read as a controlled head-to-head result.

## Related Comparisons

- [Celeris-1 vs Claude Fable 5.1](/compare/celeris-1-vs-claude-fable-5-1)
- [DeepSeek V3 vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-deepseek-v3)
- [Celeris-1 vs GPT-6 Astra](/compare/celeris-1-vs-gpt-6-astra)
- [DeepSeek V3 vs GPT-6 Astra](/compare/deepseek-v3-vs-gpt-6-astra)

## Explore More

- [Celeris-1 profile](/models/celeris-1)
- [DeepSeek V3 profile](/models/deepseek-v3)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)