# Granite Speech 5.0 2B vs Qwen3-ASR-0.6B (slim)

> Qwen3-ASR-0.6B and Granite Speech 5.0 2B score within a point of each other for speech-to-text, 61.2 and 61 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/granite-speech-5-0-2b-vs-qwen3-asr-0-6b.md (~4,050 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/granite-speech-5-0-2b-vs-qwen3-asr-0-6b.json · canonical https://www.anchorterminal.com/compare/granite-speech-5-0-2b-vs-qwen3-asr-0-6b
- 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)

Qwen3-ASR-0.6B and Granite Speech 5.0 2B score within a point of each other on agent readiness, 61.2 (C) and 61 (C). Granite Speech 5.0 2B leads on reach, risk and documentation and upkeep. 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
- Qwen3-ASR-0.6B: C 61.2, rank #37 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-asr-0-6b.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 75; Risk, 70 against 55; Documentation and upkeep, 92 against 33.
- Qwen3-ASR-0.6B, good for Agents that need fast, cheap local transcription in many languages on a small GPU, including realtime streaming Ahead on Agent interface, 75 against 55.

| Category | Granite Speech 5.0 2B | Qwen3-ASR-0.6B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 75 |
| Risk (20%) | 70 | 55 |
| Agent interface (10%) | 55 | 75 |
| Documentation and upkeep (10%) | 92 | 33 |

| Fact (where they differ) | Granite Speech 5.0 2B | Qwen3-ASR-0.6B |
| --- | --- | --- |
| Vendor | IBM | Alibaba (Qwen team) |
| Last release | 2026-11-06 | 2026-07-22 |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Documentation and upkeep, Granite Speech 5.0 2B +59: 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.); Qwen3-ASR-0.6B 33 (The shared card covers intended use, architecture and languages and misses limitations, a parameter figure, context length and a cut-off (8).)
- Reach, Granite Speech 5.0 2B +20: 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.); Qwen3-ASR-0.6B 75 (Memory earns 30 because Alibaba's smallest build, the -hf BF16 repository, is 1.58 GB, about 1.9 GB with the fifth added, well within 16 GB.)
- Agent interface, Qwen3-ASR-0.6B +20: Granite Speech 5.0 2B 55 (Chat template 20, chat_template.jinja in the repository (193 characters).); Qwen3-ASR-0.6B 75 (Read for a speech model, the tool-calling, trained tool calling and structured-output lines stand for what it takes and returns.)
- 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.); Qwen3-ASR-0.6B 55 (File safety gets 25, safetensors only and loaded by the runtimes' own code with a Jinja template.)