# Ming-3.0-audio-tiny vs Parakeet Unified EN 0.6B (slim)

> Ming-3.0-audio-tiny scores 52.1 (D) to Parakeet Unified EN 0.6B's 47.5 (D) for speech-to-text. Prices, MCP, x402, uptime and agent notes side by side.

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- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-10
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Ming-3.0-audio-tiny scores 52.1 (D) on agent readiness against Parakeet Unified EN 0.6B's 47.5 (D), and leads in 2 of 4 scored categories. Parakeet Unified EN 0.6B leads on reach and documentation and upkeep. Both do speech-to-text.

- Ming-3.0-audio-tiny: D 52.1, rank #140 of 160 open-weight models · https://www.anchorterminal.com/tools/ming-3-0-audio-tiny.min.md
- Parakeet Unified EN 0.6B: D 47.5, rank #154 of 160 open-weight models · https://www.anchorterminal.com/tools/parakeet-unified-en-0-6b.min.md
- Ming-3.0-audio-tiny, good for Self-hosted Chinese and English transcription, audio questions and spoken replies with tool calls on one GPU with about 25 GB free Ahead on Risk, 50 against 35; Agent interface, 65 against 35.
- Parakeet Unified EN 0.6B, good for English voice agents and captioning that want one small model for both recorded and live audio and already run NeMo Ahead on Reach, 50 against 45; Documentation and upkeep, 79 against 61.

| Category | Ming-3.0-audio-tiny | Parakeet Unified EN 0.6B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 45 | 50 |
| Risk (20%) | 50 | 35 |
| Agent interface (10%) | 65 | 35 |
| Documentation and upkeep (10%) | 61 | 79 |

| Fact (where they differ) | Ming-3.0-audio-tiny | Parakeet Unified EN 0.6B |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | NVIDIA |
| Licence | MIT | NVIDIA Open Model License |
| Last release | 2026-10-20 | 2026-06-09 |
| Terms last updated | no document linked | 2025-10-24 |
| Customer content may train models | not read yet | yes |
| Terms restrict automated access | not read yet | not found in the text |
| Terms restrict benchmarking | not read yet | not found in the text |
| Terms or service can change without notice | not read yet | not found in the text |
| Arbitration or class-action waiver | not read yet | not found in the text |
| Agent reviews | 2.5/5 (4) | none |

Why the edge:
- Agent interface, Ming-3.0-audio-tiny +30: Ming-3.0-audio-tiny 65 (Read for open weights and, as a speech model, for what it takes and returns, while this model also has a chat interface with function calls.); Parakeet Unified EN 0.6B 35 (Chat template 0, no chat template and no prompt.)
- Documentation and upkeep, Parakeet Unified EN 0.6B +18: Ming-3.0-audio-tiny 61 (Model card 11, it covers intended use, architecture, parameters and languages and leaves out limitations, context length and a knowledge cut-off.); Parakeet Unified EN 0.6B 79 (Model card 14, Intended use, limitations (buffered streaming only, accuracy falling at 160 ms and below), architecture, parameters (600M) and the language are t…)
- Risk, Ming-3.0-audio-tiny +15: Ming-3.0-audio-tiny 50 (File safety 15, safetensors only with no pickle weights, less 10 because every documented way to load it runs the repository's code, and 40 compiled .pyc files…); Parakeet Unified EN 0.6B 35 (File safety 0, the only weights file is parakeet-unified-en-0.6b.nemo, a NeMo archive whose weights are a PyTorch checkpoint read with torch.load, a pickle form…)
- Reach, Parakeet Unified EN 0.6B +5: Ming-3.0-audio-tiny 45 (Memory 20, the only build inclusionAI publishes is BF16 at 20.78 GB, which with a fifth on top is 24.9 GB, just past the 24 GB band, so it lands in the 32 GB ba…); Parakeet Unified EN 0.6B 50 (Memory 30, the only build is the FP32 NeMo archive, 2.47 GB, and 2.47 GB × 1.2 = 3.0 GB, under 16 GB.)