**Tara is a frontier automatic speech-recognition model for Hindi and mixed-code (Hinglish) transcription.** On the AI4Bharat Vistaar Hindi benchmark suite it achieves state-of-the-art aggregate accuracy, outperforming leading commercial Hindi ASR systems on the 7-benchmark Vistaar mean, while natively handling Hindi–English code-switched speech through a dedicated **mixed-code mode** that renders English words in Latin script and Hindi in Devanagari, the way real Hinglish is written. The mixed-code mode (the ` ` prefix above) conditions generation only: on pure-Hindi audio it neither degrades accuracy nor forces transliteration; on mixed-code audio it renders English words in Latin script. Evaluation code, the exact text normalizer, and Tara's per-utterance predictions for every benchmark below are published at TrelisResearch/tara, so all numbers can be reproduced or re-scored under alternative normalizers.

Speech recognition

Input Audio→ Output Text

Price not verifiedCheck multimodal and channel pricing separately

View details ↗

CompareSource / docs ↗

tiron

Trelis

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

Speech recognition

Input Audio→ Output Text

Price not verifiedCheck multimodal and channel pricing separately

View details ↗

CompareSource / docs ↗

whisper-hinglish-preview

Trelis

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

Speech recognition

Input Audio→ Output Text

Price not verifiedCheck multimodal and channel pricing separately

View details ↗

CompareSource / docs ↗

COST EXPLORER

Great models. Clear costs.

Cost analysis

Adjust monthly token usage to compare estimated API costs.

Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
Compares base text-token rates within the same channel

Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.

MODEL HANDBOOK

Understand before you choose

Selection guide & FAQ

How should API prices be compared?+

Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.

Do open weights mean free commercial use?+

Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.

Is the top-ranked model the best for me?+

Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.

Find your ideal AI model.

Explore AI models 7

Llama-2-7b-chat-hf-function-calling-v2

Llama-2-7b-chat-hf-function-calling-v3

piper-ru-ru-irina-medium

piper-zh-cn-huayan-medium

tara

tiron

whisper-hinglish-preview

No matching models

Great models. Clear costs.

Understand before you choose

Follow trends. Find tools. Explore models.