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Model infoModelsSnapshot: 15 Oct 2026

Intron / Sahara

Sahara v2 ASR

Earlier Sahara recognition family with African-accent English, multilingual transcription and Swahili-English code-switching.

historicalClosed weightsSpeech-to-text
Official documentation (opens in a new tab)Reviewed 16 Oct 2026
4 of 18 specification fields collected
Context windowNot collectedAwaiting source review
Maximum outputNot collectedAwaiting source review
Input billingNot collectedIntron historical product documentation
Output billingNot collectedNo inferred price

Specifications

Provider-documented facts. “Not collected” means we have not verified that field yet, not that the feature is unsupported.

Context / input limit
Not collected

No reviewed model-specific contract; unknown does not mean unsupported.

Maximum input tokens
Not collected

No reviewed model-specific contract; unknown does not mean unsupported.

Maximum output
Not collected

No reviewed model-specific contract; unknown does not mean unsupported.

Parameters
Not collected

No reviewed model-specific contract; unknown does not mean unsupported.

Release date
Not collected

No reviewed model-specific contract; unknown does not mean unsupported.

Knowledge cutoff
Not collected

No reviewed model-specific contract; unknown does not mean unsupported.

Tool calling
Not collected

No reviewed model-specific contract; unknown does not mean unsupported.

Structured output
Not collected

No reviewed model-specific contract; unknown does not mean unsupported.

Streaming
Not collected

No reviewed model-specific contract; unknown does not mean unsupported.

Batch processing
Not collected

No reviewed model-specific contract; unknown does not mean unsupported.

Fine-tuning
Not collected

No reviewed model-specific contract; unknown does not mean unsupported.

Reasoning
Not collected

No reviewed model-specific contract; unknown does not mean unsupported.

Context caching
Not collected

No reviewed model-specific contract; unknown does not mean unsupported.

Base model
Not collected

No reviewed model-specific contract; unknown does not mean unsupported.

Language coverage
Version-specific page reports 57 languages and 500+ accents, including African French and bilingual Swahili-English.Source for Language coverage (opens in a new tab)
Deployment scope
Provider describes offline local processing and enterprise deployments. Exact package, hardware and distribution license require a commercial agreement.Source for Deployment scope (opens in a new tab)

Access & pricing

Prices belong to an endpoint and billing tier. A provider listing does not guarantee access for every account or region.

Intron historical product documentation

Provider source (opens in a new tab)
API model ID
Not collected

No verified currently selectable checkpoint for this historical name.

Access
Historical model or version description; current selector, access and retirement status unverified.
Regions
Hosted processing region not established. Offline local deployment is a separately described commercial option, not proof of the hosted API location.

Endpoint pricing has not been collected. Check the provider for applicable rates.

Data & enterprise terms

Retention, training use, regional processing and enterprise terms have not been summarized for this endpoint.

Caching

Caching can reuse earlier input processing. Availability, lifetime and billing depend on the endpoint. A cache hit still generates a new response.

01 / INITIAL INPUTProcess & retain

The system processes eligible input and retains reusable state.

02 / LATER REQUESTCheck available state

Reuse depends on matching input, session state and the cache policy.

03 / CACHE HITReuse & generate

Reusing state can reduce repeated work. Any charges follow the billing rules below.

Intron historical product documentation

Not verified

No model-specific inference-cache contract verified. Stored files, streaming buffers and account balances are not prompt caching.

How it works
Not collected

No model-specific inference-cache contract verified. Stored files, streaming buffers and account balances are not prompt caching.

Minimum reusable input
Not collected

No model-specific inference-cache contract verified. Stored files, streaming buffers and account balances are not prompt caching.

Lifetime & refresh
Not collected

No model-specific inference-cache contract verified. Stored files, streaming buffers and account balances are not prompt caching.

How to enable it
Not collected

No model-specific inference-cache contract verified. Stored files, streaming buffers and account balances are not prompt caching.

Usage fields
Not collected

No model-specific inference-cache contract verified. Stored files, streaming buffers and account balances are not prompt caching.

Billing rules
Not collected

No model-specific inference-cache contract verified. Stored files, streaming buffers and account balances are not prompt caching.

Limits & data boundaries
Not collected

No model-specific inference-cache contract verified. Stored files, streaming buffers and account balances are not prompt caching.

No verified cache rate for this endpoint. An empty rate is not a zero charge.

Caching reviewed 16 Oct 2026

What the measurements say

Code-switched speech: Afrikaans WER

Intron · provider-reported
59.14%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Code-switched speech: Pidgin WER

Intron · provider-reported
42.19%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Code-switched speech: Swahili WER

Intron · provider-reported
43.27%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Code-switched speech: Hausa WER

Intron · provider-reported
45.56%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Code-switched speech: Amharic WER

Intron · provider-reported
50.35%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Code-switched speech: Kinyarwanda WER

Intron · provider-reported
56.34%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Code-switched speech: Wolof WER

Intron · provider-reported
43.18%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Code-switched speech: Akan WER

Intron · provider-reported
34.52%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Code-switched speech: Zulu WER

Intron · provider-reported
81.01%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Code-switched speech: Igbo WER

Intron · provider-reported
83.58%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Code-switched speech: Yoruba WER

Intron · provider-reported
89.66%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Code-switched speech: Luganda WER

Intron · provider-reported
89.95%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Monolingual speech: Swahili WER

Intron · provider-reported
14.16%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Monolingual speech: Pidgin WER

Intron · provider-reported
18.21%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Monolingual speech: Afrikaans WER

Intron · provider-reported
22.1%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Monolingual speech: Kinyarwanda WER

Intron · provider-reported
10.14%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Monolingual speech: Zulu WER

Intron · provider-reported
16.01%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Monolingual speech: Luganda WER

Intron · provider-reported
19.43%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Monolingual speech: Hausa WER

Intron · provider-reported
28.18%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Monolingual speech: Amharic WER

Intron · provider-reported
24.85%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Monolingual speech: Yoruba WER

Intron · provider-reported
34.56%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Monolingual speech: Akan WER

Intron · provider-reported
27.97%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Monolingual speech: Wolof WER

Intron · provider-reported
37.82%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Monolingual speech: Igbo WER

Intron · provider-reported
44.49%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Monolingual speech: Fulfulde WER

Intron · provider-reported
47.14%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Accented English: Names WER

Intron · provider-reported
10.16%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Accented English: In-the-wild WER

Intron · provider-reported
16.08%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Accented English: Finance WER

Intron · provider-reported
6.09%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Accented English: Medical WER

Intron · provider-reported
14.44%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Accented English: Call Center WER

Intron · provider-reported
15.36%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Accented English: Legal WER

Intron · provider-reported
14.02%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Accented English: General WER

Intron · provider-reported
8.8%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Accented English: Robustness WER

Intron · provider-reported
7.85%

Published homepage benchmark table data, parsed as literals without executing website code. Lower WER is better. Dataset composition, evaluator configuration and sample counts are not fully specified; not independently reproduced. Version-specific row, not a universal accuracy guarantee. Missing baseline cells stay missing; averages across unequal language sets are not compared.

Evaluation source (opens in a new tab)

Latency and throughput depend on the host, request size, reasoning settings and load. There is no measured speed or global usage figure in this record.

The record behind the model

Why it is included

Commercial Sahara model family described by its provider alongside proprietary training and reserved service technology. No exact Sahara checkpoint was found among the reviewed public research weights. Family names and benchmark versions do not establish immutable API selectors.

Classification evidence (opens in a new tab)

Sources reviewed