TL;DRBespoke Nimble 9B (Bespoke Labs) by Bespoke Labs is in the ModelScale catalog, with no published score, price or context window to report.
Canonical idjevbench-nimble-9b
Context windowUnavailable Access typeOpen Weight
Blended $/1MUnavailable75% input / 25% output
Capability shape
Seven axes from the ranking source. A missing axis is drawn as a gap.
Capability evidence
Multimodal & GroundedUnavailable Instruction FollowingUnavailable Runtime service evidence
Measured values with the date they were observed. Nothing is inferred from a sibling model or a provider claim.
Time to first token: latency to the first answer chunk (Artificial Analysis, via BenchLM). Reasoning models include thinking time, so values can run to tens or hundreds of seconds.
Evidence key: Unavailable
Runtime measurements| Measurement | Value | Observed | Last good | Evidence |
|---|
| Time to first token | Unavailable | Unavailable | Unavailable | |
| Throughput | Unavailable | Unavailable | Unavailable | |
Regional or per-endpoint measurements appear only when the API supplies them; none are modelled here.
Endpoint and price matrix
Every published price component, including cache reads and writes.
Price components| Component | USD | Evidence |
|---|
| Input / 1M tokens | Unavailable | |
| Output / 1M tokens | Unavailable | |
| Cache read / 1M tokens | Unavailable | |
| Cache write / 1M tokens | Unavailable | |
| Blended / 1M (75% input / 25% output) | Unavailable | |
| Cost per successful task (LiveBench) | Unavailable | |
Self-hosted listingNo exact first-party USD input/output token tariff is attached for this evaluated configuration. The JevBench cost per 1,000 decisions remains benchmark evidence; it is not a token price for this system.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. This uses the same calculator as the cost simulator, so an unavailable applicable rate makes the example unavailable too.
Modelled monthly costUnavailableThe applicable input rate is unavailable.
Modelled tokensUnavailable
Benchmark record
2 matched benchmark rows with their published value, unit, and provenance.
Reasoning
Reasoning benchmarks| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|
| JevBench 1.4 JevBench 1.4 | 18.66 | 534 frozen v1.2 decisions plus 308 sealed v1.4 decisions | Typed decisions with sealed generalization tests | JevBench v1.4 method |
| JevBench 1.5 JevBench 1.5 | 31.82 | 904 open decisions plus 720 sealed decisions per complete run | Choice, Noul, and Score decisions with sealed generalization tests | JevBench v1.5 frozen method and disclosures |
Lifecycle and limitations log
Lifecycle events the source associates with this model, plus what this profile does not claim.
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 claimValues 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 — the attempt timestamp is in each badge. Last attempted fetch for this model’s score: 2026-10-23 13:17 UTC.
ModelScale