# Clef Cloudflare · Open Weight · bench-align-v5 > Every figure below is reproduced as its upstream source published it: nothing is modelled, estimated, interpolated or converted. `Unavailable` means no source published the value — it is never a zero. Each value carries its evidence state and the date it was observed. Page: https://modelscale.dev/models/cloudflare-clef JSON: https://modelscale.dev/api/model/cloudflare-clef ## Facts | Field | Value | Evidence | | --- | --- | --- | | Canonical id | `cloudflare-clef` | — | | Overall score | Unavailable | Unavailable · source benchlm:models | | Context window | 64K tokens | Observed 2026-10-23 · source benchlm:models | | Release date | 2026-10-01 | Observed 2026-10-23 · source benchlm:models | | Access type | Open Weight | — | | Blended $/1M (75% input / 25% output) | Unavailable | Derived from the input and output rates below | ## Capability evidence Seven axes from the ranking source. An axis the source did not score is unavailable, not zero. | Axis | Score | Evidence | | --- | --- | --- | | Agentic | Unavailable | Unavailable · source benchlm:models | | Coding | Unavailable | Unavailable · source benchlm:models | | Knowledge | Unavailable | Unavailable · source benchlm:models | | Reasoning | Unavailable | Unavailable · source benchlm:models | | Multimodal & Grounded | Unavailable | Unavailable · source benchlm:models | | Instruction Following | Unavailable | Unavailable · source benchlm:models | | Math | Unavailable | Unavailable · source benchlm:models | ## Runtime service evidence Measured values with the date they were observed. Nothing is inferred from a sibling model or a provider claim. Regional or per-endpoint measurements appear only when the API supplies them; none are modelled. | Measurement | Value | Observed | Last good | Evidence | | --- | --- | --- | --- | --- | | Time to first token | Unavailable | Unavailable | Unavailable | Unavailable · source benchlm:speed | | Throughput | Unavailable | Unavailable | Unavailable | Unavailable · source benchlm:speed | ## Endpoint and price matrix Every published price component, including cache reads and writes. | Component | USD | Evidence | | --- | --- | --- | | Input / 1M tokens | $0.24 | Observed 2026-10-23 · source benchlm:pricing | | Output / 1M tokens | Unavailable | Unavailable · source benchlm:pricing | | Cache read / 1M tokens | Unavailable | Unavailable · source benchlm:pricing | | Cache write / 1M tokens | Unavailable | Unavailable · source openrouter:pricing | | Blended / 1M (75% input / 25% output) | Unavailable | Derived — from the input and output rates above; it has no source record of its own | | Cost per successful task (LiveBench) | Unavailable | Fetch failed · source livebench:table | **Self-hosted listing.** Workers AI lists $0.24 per million input tokens. This typed-decision endpoint returns probabilities; an output-token tariff is not published. No free text-generation rate is inferred. No hosted token rate was published for this model, so its per-token price is unavailable rather than zero. ## Workload-aware monthly cost example 10 conversations per day × 8 messages × 22 active days, 1200 input and 400 output tokens per message, no cache. Derived here from the published rates above by this site's own calculator — not a figure any source published. | Field | Value | | --- | --- | | Modelled monthly cost | Unavailable | | Modelled tokens | Unavailable | | Reason | The applicable output rate is unavailable. | ## Benchmark record 12 matched benchmark rows with their published value, unit, and provenance. ### external | Benchmark | Value | Tasks | Difficulty | Provenance | | --- | --- | --- | --- | --- | | Decision Index Full Score (Decision Index 0.4) | 54.9 | Private same-skill and new-domain task sets; 110,201 public-benchmark decisions shown alongside | Private decision tasks | [Decision Index leaderboard](https://huggingface.co/spaces/multimodalart/jev-decision-index) | | Decision Index Knowledge (Decision Index 0.4 Knowledge) | 36.3 | Knowledge area of the Decision Index evaluation | Knowledge decision tasks | [Decision Index leaderboard](https://huggingface.co/spaces/multimodalart/jev-decision-index) | | Decision Index Language (Decision Index 0.4 Language) | 47.8 | Language area of the Decision Index evaluation | Language decision tasks | [Decision Index leaderboard](https://huggingface.co/spaces/multimodalart/jev-decision-index) | | Decision Index Retrieval (Decision Index 0.4 Retrieval) | 59.8 | Retrieval area of the Decision Index evaluation | Retrieval and classification decision tasks | [Decision Index leaderboard](https://huggingface.co/spaces/multimodalart/jev-decision-index) | | Decision Index Tools (Decision Index 0.4 Tools) | 75.5 | Tools area of the Decision Index evaluation | Tool-use and automation decision tasks | [Decision Index leaderboard](https://huggingface.co/spaces/multimodalart/jev-decision-index) | | Decision Index Arts (Decision Index 0.4 Arts) | 44.7 | Arts area of the Decision Index evaluation | Arts and human-taste decision tasks | [Decision Index leaderboard](https://huggingface.co/spaces/multimodalart/jev-decision-index) | | Artificial Analysis Decision Index | 48.6 | — | Weighted average of four decision-model evaluations | [Artificial Analysis Decision Index v1.0](https://artificialanalysis.ai/articles/artificial-analysis-decision-index) | | AA-Omniscience-Decision accuracy | 39.0 | — | Knowledge questions with an abstain option | [Artificial Analysis Decision Index v1.0](https://artificialanalysis.ai/articles/artificial-analysis-decision-index) | | AA-Omniscience-Decision non-hallucination rate | 4.3 | — | Knowledge questions with an abstain option | [Artificial Analysis Decision Index v1.0](https://artificialanalysis.ai/articles/artificial-analysis-decision-index) | | HLE-MultiChoice (Decision Index) | 11.1 | — | Expert-level multiple choice | [Artificial Analysis Decision Index v1.0](https://artificialanalysis.ai/articles/artificial-analysis-decision-index) | | When2Call (Decision Index) | 71.0 | — | Tool-use decisions | [Artificial Analysis Decision Index v1.0](https://artificialanalysis.ai/articles/artificial-analysis-decision-index) | | WildGuardTest (Decision Index) | 90.7 | — | Safety classification | [Artificial Analysis Decision Index v1.0](https://artificialanalysis.ai/articles/artificial-analysis-decision-index) | ## Lifecycle and limitations log Lifecycle events the source associates with this model. No lifecycle event references this model. That is not evidence the model has no lifecycle plan — only that this source published none. ## What this profile does not claim Values are reproduced exactly as their sources published them, in the units those sources declared; none are converted, interpolated, or averaged across providers. Any field marked unavailable was attempted and not returned. Last attempted fetch for this model's score: 2026-10-23 13:17 UTC.