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Celeris

Celeris-1

Celeris-1 is a standard model from Celeris. 8 benchmarks count toward its index, in 5 categories.

  • Closed weights
  • Standard
  • Input: text
  • Released 2026-07
RankedEnough results for an index.
IndexAll categories, out of 100.33.7±8.2Median 51.0
CoverageIndex weight that has results.75%
SpeedOutput tokens per second.1,555/sMedian 67/s
First tokenSeconds to the first output token.0.5 sMedian 1.3 s
Input / 1MUS dollars per 1M input tokens.$0.20Median $0.60
Output / 1MUS dollars per 1M output tokens.$0.70Median $2.55
ContextMaximum tokens in one request.128KMedian 262K
EloLMArena rating and rank.—Median 1422

Capabilities

Index per category, out of 100.
Out of 100
AgenticMulti-step tasks with tools.1 counted34.0—
CodingCode writing and repair.1 counted24.0—
ReasoningLogic problems and puzzles.2 counted35.1191 / 227
MultimodalTasks with images and text.None counted——
KnowledgeFacts and expert knowledge.3 counted35.5222 / 268
MultilingualTasks in many languages.None counted——
InstructionTasks with strict prompt rules.1 counted25.9—
MathMath problems.None counted——

Results

8 counted
BenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
Massive Multitask Language Understanding ProfessionalKnowledge75.9%48 / 75
Critical Physics TasksReasoning0.0%150 / 214
Artificial Analysis Humanity's Last ExamKnowledge6.8%164 / 222
Artificial Analysis GPQA DiamondKnowledge63.1%150 / 199
Instruction-Following EvalInstruction80.8%53 / 70
GDPval-AA normalizedAgentic0.0%101 / 133
Artificial Analysis Long Context ReasoningReasoning38.0%169 / 217
Artificial Analysis SciCodeCoding21.6%112 / 114
Grade School Math 8KMath93.7%—
Discrete Reasoning Over ParagraphsReasoning81.4%—

Sources

BenchLMCC BY-NC 4.0

History

5 releases
Index33.2 → 33.7
23 Oct 202612 Nov 2026
Output / 1M$0.70 → $0.70
23 Oct 202612 Nov 2026

Questions

How much does Celeris-1 cost?
$0.20 per 1M input tokens, $0.70 per 1M output tokens.
How good is Celeris-1?
Its index is 33.7 out of 100. That is place 239 of 283 ranked models.
What is Celeris-1 best at?
Knowledge: 35.5 out of 100, place 222 of 268.
How fast is Celeris-1?
1555 output tokens per second, 0.5 s to the first token.
What is the context window of Celeris-1?
128K tokens.
Is Celeris-1 open source?
No. Its weights are not published.
When was Celeris-1 released?
July 2026.

Badge

Celeris-1 on Inference360: place 239 of 283, index 33.7
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<a href="https://inference360.ai/models/celeris-1"><img src="https://inference360.ai/badges/celeris-1.svg" alt="Celeris-1 on Inference360: place 239 of 283, index 33.7" height="20"></a>
Markdown
[![Celeris-1 on Inference360: place 239 of 283, index 33.7](https://inference360.ai/badges/celeris-1.svg)](https://inference360.ai/models/celeris-1)

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