Celeris-1
Celeris-1 is a Celeris proprietary model, released 24 Jul 2026. Its best configuration ranks #633 of 785 on the BenchLeader Index at 41.4 ±4.7, in the lower half. The ± is the point: 292 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in long context (43) and lowest in knowledge (29). At $0.325 per million tokens blended it is cheaper than most ranked models. Output speed of 1581 tokens per second puts it in the fastest quarter, with a first answer in 0.6 s. Last measured 24 Jul 2026.
- Blended price
- $0.325/M
- $0.200 in · $0.700 out
- Output speed
- 1581 tok/s
- measured by Artificial Analysis
- First answer
- 0.56 s
- first token 0.56 s
- Context
- 131k
- Full answer
- 0.87 s
- median, reasoning included
- Cost per run
- $0.050
- one full Intelligence Index run
- Released
- 24 Jul 2026
- Overall index41
- Reasoning41
- Agents & tools31
- Knowledge29
- Long context43
- Composite37
How its index has moved
19 Sept 2026 to 21 Oct 2026The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.
Benchmark results
See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Reasoning
| Benchmark | not stated | Source |
|---|---|---|
| GPQA Diamond (AA)not in index | 63.1%#357 | Artificial Analysis |
| Humanity's Last Exam (AA)not in index | 6.8%#379 | Artificial Analysis |
| CritPt | 0.0%#315 | Artificial Analysis |
Coding
| Benchmark | not stated | Source |
|---|---|---|
| SciCode (AA)not in index | 21.6%#225 | Artificial Analysis |
| Terminal-Bench 4.0 (AA)not in index | 0.0%#152 | Artificial Analysis |
| Terminal-Bench 2.1 (AA)not in index | 11.2%#193 | Artificial Analysis |
Agents & tools
| Benchmark | not stated | Source |
|---|---|---|
| GDPval-AA v2.1not in index | 0.0%#124 | Artificial Analysis |
| τ³-Banking (AA) | 3.9%#194 | Artificial Analysis |
| AutomationBenchnot in index | 0.4%#210 | Artificial Analysis |
| GDP.pdf (AA)not in index | 1.2%#198 | Artificial Analysis |
Knowledge
| Benchmark | not stated | Source |
|---|---|---|
| AA-Omniscience | -71.6#519 | Artificial Analysis |
| AA-Omniscience: accuracynot in index | 11.0%#487 | Artificial Analysis |
| AA-Omniscience: non-hallucinationnot in index | 7.3%#486 | Artificial Analysis |
Long context
| Benchmark | not stated | Source |
|---|---|---|
| AA-LCR | 38.0%#365 | Artificial Analysis |
Composite
| Benchmark | not stated | Source |
|---|---|---|
| AA Intelligence Index v4.3.2 | 6.3#534 | Artificial Analysis |
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0003 | – | 0.7 s |
| Summarize a 30-page report | 12,000 / 600 | $0.0028 | – | 0.9 s |
| Code edit | 6,000 / 1,500 | $0.0023 | – | 1.5 s |
| Agentic coding session | 60,000 / 4,000 | $0.015 | – | 3.1 s |
| Structured extraction | 2,000 / 200 | $0.0005 | – | 0.7 s |
See also
Questions people ask
- What are Celeris-1's benchmark scores?
- As of 24 Oct 2026, Celeris-1 scores 41.4 ±4.7 on the BenchLeader Index, strongest in long context (43) and weakest in knowledge (29). That rests on 5 independent benchmark results, and every score on this page links to its publisher.
- How does Celeris-1 rank?
- Celeris-1 is #633 of 785 ranked configurations on 24 Oct 2026. 292 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
- How much does Celeris-1 cost per 1M tokens?
- As of 24 Oct 2026, Celeris-1 costs $0.200 per 1M input tokens and $0.700 per 1M output tokens, $0.325 blended (three input tokens per output token).
- When was Celeris-1 released?
- Celeris released Celeris-1 on 24 Jul 2026.
Data as of 24 Oct 2026. Compare with another model.
Cite as: BenchLeader, “Celeris-1: benchmarks, pricing, speed and rank”, data as of 24 Oct 2026, https://www.benchleader.com/models/celeris-1.