# Granite Speech 5.0 2B vs Ming-3.0-asr-tiny (slim)

> Granite Speech 5.0 2B scores 61 (C) to Ming-3.0-asr-tiny's 54.8 (C) for speech-to-text. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/granite-speech-5-0-2b-vs-ming-3-0-asr-tiny.md (~4,350 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/granite-speech-5-0-2b-vs-ming-3-0-asr-tiny.json · canonical https://www.anchorterminal.com/compare/granite-speech-5-0-2b-vs-ming-3-0-asr-tiny
- 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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Granite Speech 5.0 2B scores 61 (C) on agent readiness against Ming-3.0-asr-tiny's 54.8 (C), and leads in 3 of 4 scored categories. Ming-3.0-asr-tiny leads on agent interface. Both do speech-to-text.

- Granite Speech 5.0 2B: C 61, rank #67 of 160 open-weight models · https://www.anchorterminal.com/tools/granite-speech-5-0-2b.min.md
- Ming-3.0-asr-tiny: C 54.8, rank #125 of 160 open-weight models · https://www.anchorterminal.com/tools/ming-3-0-asr-tiny.min.md
- Granite Speech 5.0 2B, good for Agents that need to transcribe or translate short recordings in the six supported languages on modest hardware Ahead on Reach, 95 against 50; Risk, 70 against 55; Documentation and upkeep, 92 against 61.
- Ming-3.0-asr-tiny, good for Agents with a CUDA GPU that need local Chinese, English or dialect transcription where names and domain terms matter Ahead on Agent interface, 60 against 55.

| Category | Granite Speech 5.0 2B | Ming-3.0-asr-tiny |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 50 |
| Risk (20%) | 70 | 55 |
| Agent interface (10%) | 55 | 60 |
| Documentation and upkeep (10%) | 92 | 61 |

| Fact (where they differ) | Granite Speech 5.0 2B | Ming-3.0-asr-tiny |
| --- | --- | --- |
| Vendor | IBM | inclusionAI (Ant Group) |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-11-06 | 2026-10-20 |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Reach, Granite Speech 5.0 2B +45: Granite Speech 5.0 2B 95 (Memory 30, the smallest build listed that keeps 4 bits is IBM's Q4_K_M GGUF, 1.14 GB with the 1.16 GB audio projector, and 2.30 GB × 1.2 = 2.8 GB, within 16 GB.); Ming-3.0-asr-tiny 50 (Memory earns 25 because the publisher's BF16 files are 17.7 GB, about 21.3 GB with the fifth added, which fits 24 GB.)
- Documentation and upkeep, Granite Speech 5.0 2B +31: Granite Speech 5.0 2B 92 (Model card 17, Intended use, limitations, the architecture, the size, the 16K positions and two-minute segments, and the languages are on the card.); Ming-3.0-asr-tiny 61 (The card covers intended use, limitations, architecture and languages, and misses parameters, context length and a cut-off (11).)
- Risk, Granite Speech 5.0 2B +15: Granite Speech 5.0 2B 70 (File safety 25, safetensors and GGUF only, no .bin, .pt or .pth files and no Python in either repository.); Ming-3.0-asr-tiny 55 (File safety gets 15, safetensors only but loaded with trust_remote_code.)
- Agent interface, Ming-3.0-asr-tiny +5: Granite Speech 5.0 2B 55 (Chat template 20, chat_template.jinja in the repository (193 characters).); Ming-3.0-asr-tiny 60 (Read for a speech model, the tool-calling, trained tool calling and structured-output lines stand for what it takes and returns.)