Data as of October 20, 2026 · How the score is built
Released Oct 21, 2026262K contextBaseten elephant-1 library page
elephant-1
Decision readingelephant-1 is tracked, but not publicly ranked yet. The profile exposes 6 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Released Oct 21, 2026 — see all recent releases
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Capability
Unranked
field median 49.9Not eligible for a public rank
Price
Self-hosted; infrastructure cost varies
input median $0.72No comparable first-party hosted token rate
Speed
Not measured
field median 93.5 tok/sTime to first token not measured
Context
262Ktokens
field median 256,000Maximum output length is tracked separately
Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
6 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Source-linked · 6 displayable benchmark rows
Benchmark ledger
External signals opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
External signals6 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Decision Index Full ScoreDecision Index 0.4 | Score60.3 points | Versus best verified row Best verified: mammoth-1 · 68.9 points | Gap8.6 behind | WeightDisplay only | Benchmark exact |
| Decision Index KnowledgeDecision Index 0.4 Knowledge | Score45.8 points | Versus best verified row Best verified: mammoth-1 · 51.4 points | Gap5.6 behind | WeightDisplay only | Benchmark exact |
| Decision Index LanguageDecision Index 0.4 Language | Score62.1 points | Versus best verified row Best verified: mammoth-1 · 67.5 points | Gap5.4 behind | WeightDisplay only | Benchmark exact |
| Decision Index RetrievalDecision Index 0.4 Retrieval | Score65.1 points | Versus best verified row Best verified: Perplexity Decider v1.2 27B · 69.4 points | Gap4.3 behind | WeightDisplay only | Benchmark exact |
| Decision Index ToolsDecision Index 0.4 Tools | Score82.1 points | Versus best verified row Best verified: mammoth-1 · 83.9 points | Gap1.8 behind | WeightDisplay only | Benchmark exact |
| Decision Index ArtsDecision Index 0.4 Arts | Score56.7 points | Versus best verified row Best verified: mammoth-1 · 60.9 points | Gap4.2 behind | WeightDisplay only | Benchmark exact |
Lineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Decision-system
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- decision-models/baseten-elephant-9b-latestBaseten elephant-1 on Hugging Face
- Context window
- 262KBaseten elephant-1 on Hugging Face
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not sourced yet
- Availability
- Baseten Model APIs (POST /v1/systemone, free to try for a week with zero data retention) and MIT-licensed open weights on Hugging Face (baselabs). Dedicated deployments are available on Baseten. Baseten publishes no per-token price and no context-window figure; the released config specifies 262,144 positions.
- Cloud regions
- Not tracked yet
- Lifecycle
- Current
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing recordBaseten elephant-1 on Hugging Face
- Self-host
- Open weights available; hardware estimate not sourced
- Rate limits
- Not tracked yet
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
We track elephant-1, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
elephant-1 is a open weight model with a 262K context window. No explicit reasoning mode is documented in this profile.
Baseten Model APIs (POST /v1/systemone, free to try for a week with zero data retention) and MIT-licensed open weights on Hugging Face (baselabs). Dedicated deployments are available on Baseten. Baseten publishes no per-token price and no context-window figure; the released config specifies 262,144 positions.
6 of 728 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Last updated October 20, 2026. Runtime fields remain blank until a sourced snapshot exists.
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.
Estimate VRAM from known parametersQuestions
How does elephant-1 perform overall in AI benchmarks?
elephant-1 has 6 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.
Is elephant-1 open source?
elephant-1 is an open-weight model from Baseten. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
Does elephant-1 have full benchmark coverage on BenchLM?
No. elephant-1 currently has 12 source-displayable rows. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of elephant-1?
elephant-1 has a documented context window of 262K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.