Model comparison
Celeris-1 vs Sakana Fugu
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Evidence parity. Celeris-1 and Sakana Fugu share 0 comparable benchmark results. 1 of 8 categories are comparable. 1 result is unique to Celeris-1; 11 to Sakana Fugu.
Updated July 24, 2026- Shared results
- 0
- Celeris-1 only
- 1
- Sakana Fugu only
- 11
- 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; Sakana Fugu is the better fit if knowledge is the priority or you need the larger 1M context window.
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 Sakana Fugu 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.
Sakana Fugu 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. Sakana Fugu gives you the larger context window at 1M, 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 | Sakana Fugu | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Celeris-1$2 input / $6 output | Sakana FuguNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Celeris-1Not available | Sakana FuguNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Celeris-1Not available | Sakana FuguNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Celeris-18K | Sakana Fugu1M | Sakana Fugu lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Celeris-1 | Sakana Fugu | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | — | 80.2% | Not comparable |
Coding5 benchmarks
Reasoning1 benchmarks
| Benchmark | Celeris-1 | Sakana Fugu | Result |
|---|---|---|---|
| MRCRv2Source | — | 86.6% | Not comparable |
KnowledgeSakana Fugu wins4 benchmarks
Multimodal1 benchmarks
| Benchmark | Celeris-1 | Sakana Fugu | Result |
|---|---|---|---|
| CharXivSource | — | 85.1% | Not comparable |
Frequently Asked Questions (2)
Which is better, Celeris-1 or Sakana Fugu?
Celeris-1 and Sakana Fugu 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 Sakana Fugu?
Sakana Fugu has the edge for knowledge tasks in this comparison, averaging 95.5 versus 75.9. Celeris-1 stays close enough that the answer can still flip depending on your workload.
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