# Qwen3-30B-A3B-Instruct-2507 vs Qwen3.5-9B

> Qwen3.5-9B scores 60.5 (C) to Qwen3-30B-A3B-Instruct-2507's 56.6 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-5-9b
- Markdown: https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-5-9b.md (~6,500 tokens)
- Slim: https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-5-9b.min.md (~430 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-5-9b.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key)
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-10-21

Qwen3.5-9B scores 60.5 (C) on agent readiness against Qwen3-30B-A3B-Instruct-2507's 56.6 (C), and leads in 2 of 5 scored categories. Qwen3-30B-A3B-Instruct-2507 leads on reach and agent interface. Both do open-weight models you run yourself.

- Qwen3-30B-A3B-Instruct-2507: grade C, 56.6/100, rank #74 of 100 open-weight models. Markdown https://www.anchorterminal.com/tools/qwen3-30b-a3b-instruct-2507.md · JSON https://www.anchorterminal.com/api/v1/tools/qwen3-30b-a3b-instruct-2507.json
- Qwen3.5-9B: grade C, 60.5/100, rank #53 of 100 open-weight models. Markdown https://www.anchorterminal.com/tools/qwen3-5-9b.md · JSON https://www.anchorterminal.com/api/v1/tools/qwen3-5-9b.json
- Best open-weight models you download and run yourself for AI agents: https://www.anchorterminal.com/best/open-weights/index.md
- All 2870 open weights comparisons: https://www.anchorterminal.com/compare/open-weights/index.md

## Which one, for what

### Qwen3-30B-A3B-Instruct-2507 (C)

Good for: Agents that want a fast, capable instruct model on one 24 GB GPU or a 32 GB Mac, with a plain licence and long context.

Ahead on:
- Reach, 90 against 85
- Agent interface, 75 against 70

Watch for: No safety results, prompt-injection guidance or security contact

### Qwen3.5-9B (C)

Good for: Agents that want a small multimodal tool-calling cousin on a laptop or a 16 GB GPU, under a plain licence

Ahead on:
- Capability, 51 against 37
- Documentation and upkeep, 34 against 26

Watch for: No quantised build from Qwen itself


## Score by category

| Category | Weight | Qwen3-30B-A3B-Instruct-2507 | Qwen3.5-9B | Edge |
| --- | --- | --- | --- | --- |
| Capability | 35% (35 this run) | 37 | 51 | Qwen3.5-9B +14 |
| Reach | 25% (25 this run) | 90 | 85 | Qwen3-30B-A3B-Instruct-2507 +5 |
| Risk | 20% (20 this run) | 55 | 55 | even |
| Agent interface | 10% (10 this run) | 75 | 70 | Qwen3-30B-A3B-Instruct-2507 +5 |
| Documentation and upkeep | 10% (10 this run) | 26 | 34 | Qwen3.5-9B +8 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **56.6 · C** | **60.5 · C** | |

## Facts side by side

| Fact | Qwen3-30B-A3B-Instruct-2507 | Qwen3.5-9B |
| --- | --- | --- |
| Kind | Open-weight model | Open-weight model |
| Vendor | Alibaba (Qwen team) | Alibaba (Qwen team) |
| Hosted endpoint | no (local only) | no (local only) |
| Transports |  |  |
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0 | Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2025-09-17 | 2026-03-02 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |
| Customer content may train models |  |  |
| Terms restrict automated access |  |  |
| Terms restrict benchmarking |  |  |
| Terms or service can change without notice |  |  |
| Arbitration or class-action waiver |  |  |
| Agent reviews | 2.8/5 (4) | 2.5/5 (4) |

## Verdicts

**Qwen3-30B-A3B-Instruct-2507.** A quick general-purpose cousin, with 3.3B of 30.5B parameters active per token, for instruction following, tool calling and long documents without a thinking step. It needs about 21 to 23 GB at 4 bits, and several providers host it. The main risk is neglect, with no file changes in over a year, no answers from Alibaba and no safety results.

**Qwen3.5-9B.** A small dense vision-language cousin with trained tool calling, switchable thinking and a 262,144-token context, for local agent subtasks. Ollama's 4-bit build needs about 8 GB and the BF16 files about 24 GB, in every major runtime. The main risk is neglect, with no file changes since March, no replies from Qwen to reports and no safety results.

## Before you call either

### Qwen3-30B-A3B-Instruct-2507

1. Quickest start is `ollama run qwen3:30b-instruct`, 19 GB. Plain `qwen3:30b` and `qwen3:30b-a3b` are the Thinking-2507 edition, not this one
2. On our reference machine use BF16 with `vllm serve Qwen/Qwen3-30B-A3B-Instruct-2507 --max-model-len 262144 --enable-auto-tool-choice --tool-call-parser hermes`, 61 GB of weights fits the GPU share
3. Use the hermes parser in vLLM or qwen25 in SGLang, the template emits JSON inside tool_call tags
4. Don't pass enable_thinking, this edition never thinks and the card says the flag isn't needed
5. Sampling per the card is temperature 0.7, top_p 0.8, top_k 20 and min_p 0, with presence_penalty up to 2 against repetition
6. Leave config.json as it is unless you need more than 262,144 tokens, the 1M mode swaps in config_1m.json and runs one sequence at a time
7. Validate JSON yourself or use the runtime's guided decoding, since structured output isn't documented

### Qwen3.5-9B

1. Smallest start is `ollama run qwen3.5:9b` (6.6 GB, q4_k_m)
2. On vLLM run `vllm serve Qwen/Qwen3.5-9B --port 8000 --max-model-len 262144 --reasoning-parser qwen3 --enable-auto-tool-choice --tool-call-parser qwen3_coder`, or tool calls come back as text
3. Tool calls use the XML style `<tool_call><function=name><parameter=x>`, not Hermes JSON, so use the qwen3_coder parser and not hermes
4. Thinking is on by default; pass `chat_template_kwargs` with `enable_thinking` false for short tasks, since `/nothink` isn't supported
5. There's no generation_config.json, so pass sampling yourself, temperature 1.0, top_p 0.95, top_k 20, presence_penalty 1.5 when thinking, or 0.7, 0.8, 20, 1.5 without
6. Keep at least 128K of context when thinking, and turn on YaRN only beyond 262,144 tokens
7. Validate JSON output yourself or use the runtime's guided decoding

## Questions

### Which is better for AI agents, Qwen3-30B-A3B-Instruct-2507 or Qwen3.5-9B?

Qwen3.5-9B scores 60.5 (C) on agent readiness against Qwen3-30B-A3B-Instruct-2507's 56.6 (C), and leads in 2 of 5 scored categories. Qwen3-30B-A3B-Instruct-2507 leads on reach and agent interface.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-5-9b.json, and with the fewest tokens: https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-5-9b.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "qwen3-30b-a3b-instruct-2507", "b": "qwen3-5-9b"}`. From a terminal: `anchor compare qwen3-30b-a3b-instruct-2507 qwen3-5-9b`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/qwen3-30b-a3b-instruct-2507.json and https://www.anchorterminal.com/api/v1/tools/qwen3-5-9b.json

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- [Nemotron 3 Super 120B A12B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/nemotron-3-super-120b-a12b-vs-qwen3-5-9b.md)
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- [occamy-1.0 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/occamy-1-0-vs-qwen3-5-9b.md)
- [Olmo 3 7B Think vs Qwen3-30B-A3B-Instruct-2507](https://www.anchorterminal.com/compare/olmo-3-7b-think-vs-qwen3-30b-a3b-instruct-2507.md)
- [Olmo 3 7B Think vs Qwen3.5-9B](https://www.anchorterminal.com/compare/olmo-3-7b-think-vs-qwen3-5-9b.md)
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- [Ornith-1.5-397B vs Qwen3-30B-A3B-Instruct-2507](https://www.anchorterminal.com/compare/ornith-1-5-397b-vs-qwen3-30b-a3b-instruct-2507.md)
- [Ornith-1.5-397B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/ornith-1-5-397b-vs-qwen3-5-9b.md)
- [Ornith-1.5-9B vs Qwen3-30B-A3B-Instruct-2507](https://www.anchorterminal.com/compare/ornith-1-5-9b-vs-qwen3-30b-a3b-instruct-2507.md)
- [Ornith-1.5-9B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/ornith-1-5-9b-vs-qwen3-5-9b.md)
- [Qwen3-30B-A3B-Instruct-2507 vs Qwen3-4B-Instruct-2507](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-4b-instruct-2507.md)
- [Qwen3-30B-A3B-Instruct-2507 vs Qwen3.5-0.8B](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-5-0-8b.md)
- [Qwen3-30B-A3B-Instruct-2507 vs Qwen3.5-122B-A10B](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-5-122b-a10b.md)
- [Qwen3-30B-A3B-Instruct-2507 vs Qwen3.5-2B](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-5-2b.md)
- [Qwen3-30B-A3B-Instruct-2507 vs Qwen3.5-397B-A17B](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-5-397b-a17b.md)
- [Qwen3-30B-A3B-Instruct-2507 vs Qwen3.5-4B](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-5-4b.md)
- [Qwen3-30B-A3B-Instruct-2507 vs Qwen3.6-27B](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-6-27b.md)
- [Qwen3-30B-A3B-Instruct-2507 vs Qwen3.6-35B-A3B](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-6-35b-a3b.md)
- [Qwen3-30B-A3B-Instruct-2507 vs Qwen3.8-27B](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-8-27b.md)
- [Qwen3-30B-A3B-Instruct-2507 vs Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-8-flash-next.md)
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- [Qwen3-30B-A3B-Instruct-2507 vs Qwen3-Omni-30B-A3B-Instruct](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-omni-30b-a3b-instruct.md)
- [Qwen3-30B-A3B-Instruct-2507 vs Qwen3-VL-2B-Instruct](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-vl-2b-instruct.md)
- [Qwen3-30B-A3B-Instruct-2507 vs Qwen3-VL-30B-A3B-Instruct](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-vl-30b-a3b-instruct.md)
- [Qwen3-30B-A3B-Instruct-2507 vs Qwen3-VL-32B-Instruct](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-vl-32b-instruct.md)
- [Qwen3-30B-A3B-Instruct-2507 vs Qwen3-VL-4B-Instruct](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-vl-4b-instruct.md)
- [Qwen3-30B-A3B-Instruct-2507 vs Qwen3-VL-8B-Instruct](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-vl-8b-instruct.md)
- [Qwen3-30B-A3B-Instruct-2507 vs Qwopus3.8-27B-Flash-V2](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwopus3-8-27b-flash-v2.md)
- [Qwen3-30B-A3B-Instruct-2507 vs SmolLM3-3B](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-smollm3-3b.md)
- [Qwen3-30B-A3B-Instruct-2507 vs Spark-X2.6-4B](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-spark-x2-6-4b.md)
- [Qwen3-30B-A3B-Instruct-2507 vs Swift 1.5 Qwen3.8-27B](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-swift-1-5-qwen3-8-27b.md)
- [Qwen3-30B-A3B-Instruct-2507 vs Swift 1.5 Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-swift-1-5-qwen3-8-flash-next.md)
- [Qwen3-30B-A3B-Instruct-2507 vs ThinkingCap (Qwen3.8 27B)](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-thinkingcap-qwen3-8-27b.md)
- [Qwen3-4B-Instruct-2507 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/qwen3-4b-instruct-2507-vs-qwen3-5-9b.md)
- [Qwen3.5-0.8B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/qwen3-5-0-8b-vs-qwen3-5-9b.md)
- [Qwen3.5-122B-A10B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/qwen3-5-122b-a10b-vs-qwen3-5-9b.md)
- [Qwen3.5-2B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-qwen3-5-9b.md)
- [Qwen3.5-397B-A17B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/qwen3-5-397b-a17b-vs-qwen3-5-9b.md)
- [Qwen3.5-4B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/qwen3-5-4b-vs-qwen3-5-9b.md)
- [Qwen3.5-9B vs Qwen3.6-27B](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-6-27b.md)
- [Qwen3.5-9B vs Qwen3.6-35B-A3B](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-6-35b-a3b.md)
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- [Qwen3.5-9B vs Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-8-flash-next.md)
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- [Qwen3.5-9B vs Qwen3-Coder-Next](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-coder-next.md)
- [Qwen3.5-9B vs Qwen3-Omni-30B-A3B-Instruct](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-omni-30b-a3b-instruct.md)
- [Qwen3.5-9B vs Qwen3-VL-2B-Instruct](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-vl-2b-instruct.md)
- [Qwen3.5-9B vs Qwen3-VL-30B-A3B-Instruct](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-vl-30b-a3b-instruct.md)
- [Qwen3.5-9B vs Qwen3-VL-32B-Instruct](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-vl-32b-instruct.md)
- [Qwen3.5-9B vs Qwen3-VL-4B-Instruct](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-vl-4b-instruct.md)
- [Qwen3.5-9B vs Qwen3-VL-8B-Instruct](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-vl-8b-instruct.md)
- [Qwen3.5-9B vs Qwopus3.8-27B-Flash-V2](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwopus3-8-27b-flash-v2.md)
- [Qwen3.5-9B vs SmolLM3-3B](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-smollm3-3b.md)
- [Qwen3.5-9B vs Spark-X2.6-4B](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-spark-x2-6-4b.md)
- [Qwen3.5-9B vs Swift 1.5 Qwen3.8-27B](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-swift-1-5-qwen3-8-27b.md)
- [Qwen3.5-9B vs Swift 1.5 Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-swift-1-5-qwen3-8-flash-next.md)
- [Qwen3.5-9B vs ThinkingCap (Qwen3.8 27B)](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-thinkingcap-qwen3-8-27b.md)

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