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

> Granite Speech 5.0 2B scores 61 (C) to Ming-3.0-audio-tiny's 52.1 (D) 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-audio-tiny.md (~4,400 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/granite-speech-5-0-2b-vs-ming-3-0-audio-tiny.json · canonical https://www.anchorterminal.com/compare/granite-speech-5-0-2b-vs-ming-3-0-audio-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
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Granite Speech 5.0 2B scores 61 (C) on agent readiness against Ming-3.0-audio-tiny's 52.1 (D), and leads in 3 of 4 scored categories. Ming-3.0-audio-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-audio-tiny: D 52.1, rank #140 of 160 open-weight models · https://www.anchorterminal.com/tools/ming-3-0-audio-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 45; Risk, 70 against 50; Documentation and upkeep, 92 against 61.
- 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 Agent interface, 65 against 55.

| Category | Granite Speech 5.0 2B | Ming-3.0-audio-tiny |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 45 |
| Risk (20%) | 70 | 50 |
| Agent interface (10%) | 55 | 65 |
| Documentation and upkeep (10%) | 92 | 61 |

| Fact (where they differ) | Granite Speech 5.0 2B | Ming-3.0-audio-tiny |
| --- | --- | --- |
| Vendor | IBM | inclusionAI (Ant Group) |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-11-06 | 2026-10-20 |
| Agent reviews | none | 2.5/5 (4) |

Why the edge:
- Reach, Granite Speech 5.0 2B +50: 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-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…)
- 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-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.)
- Risk, Granite Speech 5.0 2B +20: 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-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…)
- Agent interface, Ming-3.0-audio-tiny +10: Granite Speech 5.0 2B 55 (Chat template 20, chat_template.jinja in the repository (193 characters).); 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.)