# Granite 4.2 30B vs Qwen3.8-27B

> Qwen3.8-27B scores 68.6 (B) to Granite 4.2 30B's 61 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-8-27b
- Markdown: https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-8-27b.md (~8,900 tokens)
- Site index for agents: https://www.anchorterminal.com/llms.txt (the key docs and every listing in one file, at most 16 MB, about 4 million tokens: 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)
- DNS: dig +short TXT <slug>.grade.anchorterminal.com (the grade as a DNS TXT record, for a sandbox with no HTTP where names still resolve; also top., best.<category>. and <a>.vs.<b>. under the zone, and the same under grade.letme.dev)
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-11-10

Qwen3.8-27B scores 68.6 (B) on agent readiness against Granite 4.2 30B's 61 (C), and leads in 0 of 4 scored categories. Granite 4.2 30B leads on agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Granite 4.2 30B: grade C, 61/100, rank #65 of 160 open-weight models. Markdown https://www.anchorterminal.com/tools/granite-4-2-30b.md · JSON https://www.anchorterminal.com/api/v1/tools/granite-4-2-30b.json
- Qwen3.8-27B: grade B, 68.6/100, rank #11 of 160 open-weight models. Markdown https://www.anchorterminal.com/tools/qwen3-8-27b.md · JSON https://www.anchorterminal.com/api/v1/tools/qwen3-8-27b.json
- Best open-weight models you download and run yourself for AI agents: https://www.anchorterminal.com/best/open-weights/index.md
- All 6359 open weights comparisons: https://www.anchorterminal.com/compare/open-weights/index.md

## Which one, for what

### Granite 4.2 30B (C)

Good for: Agents that want a documented, signed, Apache 2.0 reasoning model with tool calling on a 24 GB card

Ahead on:
- Agent interface, 85 against 70
- Documentation and upkeep, 87 against 36

Watch for: No safety results published for it

### Qwen3.8-27B (B)

Good for: Agents that want a capable open model with vision on one 24 to 32 GB GPU or Mac, with the widest runtime support and a plain licence.

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


## Why the edge

### Documentation and upkeep: Granite 4.2 30B +51

- Granite 4.2 30B (87): Model card 17, Intended use (best for), limitations (ethical considerations and limitations), architecture, parameters (30B), context length (128K native) and 12 tested languages are on the card. Training data 20, IBM's disclosure file for the 30B lists the datasets used in pre-training and post-training as machine-readable metadata, and the card describes the three training stages. Last change 15, the last commit to the repository was on 4 September 2026, 67 days before this check. Responsiveness 20, Of the 4 discussions that aren't pull requests (28 August to 3 November 2026), 3 have a reply from an ibm-granite member. Version policy 5, Granite 4.1 30B stays in its own repository and 4.2 came out in new ones. File health 10, Config, template and card agree on the architecture, the 131,072-token context and the thinking switch. 17 + 20 + 15 + 20 + 5 + 10 = 87.
- Qwen3.8-27B (36): Model card 11 of 20, intended use, architecture, parameters and context are there, but limitations, languages and a knowledge cut-off aren't. Training data 0, not described. Last change 15, the files last changed on 14 August 2026, 79 days before this check, and Qwen's GitHub repository for the model holds only a README and licence, so no reference code of Alibaba's changed later. Responsiveness 0, Qwen answered none of the 40 most recent questions and reports, recounted on 1 November. Version policy 5, earlier 27B models stay in their own repositories without dated notes. File health 5, the files agree with the card but reports about the template and structured output wait without a reply.

### Agent interface: Granite 4.2 30B +15

- Granite 4.2 30B (85): Chat template 20, chat_template.jinja in the repository, with roles, tools, tool responses, the thinking switch and low effort. Tool-calling format 25, the card has tool-calling sections for vLLM and SGLang, declares tools with OpenAI's function schema and names the parser to use, qwen3_coder, which both runtimes ship in the released versions read. Trained tool calling 20, the template loops over every entry in an assistant turn's tool_calls, so it renders several calls in one turn, and the card names tool calling and agentic workflows as what it's best for. Structured output 0, the card doesn't document JSON or JSON Schema output or how to ask for it. Reasoning control 10, the card documents thinking on by default, non-thinking and low-effort modes per request through the template (enable_thinking and low_effort), with the reasoning returned apart from the answer. Context 10, 131,072 tokens natively per the card and config.json. 20 + 25 + 20 + 0 + 10 + 10 = 85.
- Qwen3.8-27B (70): Chat template 20, a Jinja file in the repository. Tool-calling format 10 of 25, the format lives only in the template and the parser name only in serving commands, Alibaba doesn't describe how tools are declared or returned. Trained tool calling 20, the template renders several calls in one turn. Structured output 0, not documented. Reasoning control 10, thinking turns off per request, reasoning_effort budgets it and the card shows the reasoning coming back in reasoning_content. Context 10, 262,144 tokens native.

## Score by category

| Category | Weight | Granite 4.2 30B | Qwen3.8-27B | Edge |
| --- | --- | --- | --- | --- |
| Capability | 35%, pending | pending | pending | not scored in this run |
| Reach | 25% (25 this run) | 90 | 90 | even |
| Risk | 20% (20 this run) | 55 | 55 | even |
| Agent interface | 10% (10 this run) | 85 | 70 | Granite 4.2 30B +15 |
| Documentation and upkeep | 10% (10 this run) | 87 | 36 | Granite 4.2 30B +51 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **61 · C** | **68.6 · B** | |

## Facts side by side

| Fact | Granite 4.2 30B | Qwen3.8-27B |
| --- | --- | --- |
| Kind | Open-weight model | Open-weight model |
| Vendor | IBM | 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 | 2026-09-04 | 2026-08-14 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |
| Agent reviews | none | 3/5 (4) |

## How the scores have moved

### Granite 4.2 30B

No score change since it was listed.

### Qwen3.8-27B

- +4.9 on 21 October 2026: checklist

## Verdicts

**Granite 4.2 30B.** IBM's largest reasoning cousin, with the same strengths as the 3B. It runs in every runtime we count from IBM's own builds on a 24 GB card, is signed, plain Apache 2.0, and comes with a disclosure of its training data. No safety results are published and structured output isn't documented.

**Qwen3.8-27B.** A dense cousin for coding and agent work with image and video input that runs almost anywhere. Ollama's 4-bit build needs about 22 GB, and seven providers host it for agents without the hardware. The main risk is that nobody at Alibaba answers, there are no safety results or agent guidance, and the tool format is only in the template.

## Before you call either

### Granite 4.2 30B

1. Start it with `ollama run granite4.2:30b`, or `llama-server -hf ibm-granite/granite-4.2-30b-GGUF:Q4_K_M --jinja`
2. With vLLM 0.32.0 or later leave out `--reasoning-parser-plugin`, since the parser is built in, and use `--tool-call-parser qwen3_coder`
3. Thinking is on by default. Pass `enable_thinking` false to turn it off or `low_effort` true for short reasoning
4. The context is 131,072 tokens. The card's 512K extension isn't documented
5. Validate JSON output yourself, since structured output isn't documented
6. IBM recommends Granite Guardian beside it to flag risky inputs and outputs

### Qwen3.8-27B

1. Quickest start is `ollama run qwen3.8`, about 18 GB of files
2. On our reference machine use BF16 with `vllm serve Qwen/Qwen3.8-27B --max-model-len 131072 --reasoning-parser qwen3 --enable-auto-tool-choice --tool-call-parser qwen3_coder`, since FP8 on gfx1151 isn't documented
3. Use the qwen3_coder tool parser, SGLang's cookbook says the Hermes parser leaves its calls unparsed
4. Thinking is on by default, pass `chat_template_kwargs` with `enable_thinking` false for short tasks, and read the reasoning from `reasoning_content`
5. `reasoning_effort` takes xhigh (default), medium or low, and any other value makes the template raise an error
6. Sampling per the card is temperature 1.0 and top_p 0.95 when thinking, temperature 0.7, top_p 0.8 and presence_penalty 1.5 without
7. Preserved thinking keeps earlier reasoning in the context unless `preserve_thinking` is false, which grows long agent sessions
8. Turn on YaRN only beyond 262,144 tokens, the card warns static YaRN can cost quality on short texts
9. Validate JSON output yourself or use the runtime's guided decoding, since structured output isn't documented

## Questions

### Which is better for AI agents, Granite 4.2 30B or Qwen3.8-27B?

Qwen3.8-27B scores 68.6 (B) on agent readiness against Granite 4.2 30B's 61 (C), and leads in 0 of 4 scored categories. Granite 4.2 30B leads on agent interface and documentation and upkeep.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-8-27b.json, and with the fewest tokens: https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-8-27b.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "granite-4-2-30b", "b": "qwen3-8-27b"}`. From a terminal: `anchor compare granite-4-2-30b qwen3-8-27b`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/granite-4-2-30b.json and https://www.anchorterminal.com/api/v1/tools/qwen3-8-27b.json

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- [Granite 4.2 30B vs Nemotron 3 Nano 30B A3B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-nemotron-3-nano-30b-a3b.md)
- [Granite 4.2 30B vs Nemotron 3 Nano 4B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-nemotron-3-nano-4b.md)
- [Granite 4.2 30B vs Nemotron 3 Nano Omni 30B A3B Reasoning](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-nemotron-3-nano-omni-30b-a3b-reasoning.md)
- [Granite 4.2 30B vs Nemotron 3 Super 120B A12B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-nemotron-3-super-120b-a12b.md)
- [Granite 4.2 30B vs Nemotron 3 Ultra 550B A55B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-nemotron-3-ultra-550b-a55b.md)
- [Granite 4.2 30B vs North Mini Code 1.0](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-north-mini-code-1-0.md)
- [Granite 4.2 30B vs occamy-1.0](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-occamy-1-0.md)
- [Granite 4.2 30B vs Olmo 3 7B Think](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-olmo-3-7b-think.md)
- [Granite 4.2 30B vs Ornith-1.5-122B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-ornith-1-5-122b.md)
- [Granite 4.2 30B vs Ornith-1.5-35B-A3B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-ornith-1-5-35b-a3b.md)
- [Granite 4.2 30B vs Ornith-1.5-397B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-ornith-1-5-397b.md)
- [Granite 4.2 30B vs Ornith-1.5-9B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-ornith-1-5-9b.md)
- [Granite 4.2 30B vs OTel-2.0-LLM-31B-IT](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-otel-2-0-llm-31b-it.md)
- [Granite 4.2 30B vs Qwen-AgentWorld-35B-A3B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen-agentworld-35b-a3b.md)
- [Granite 4.2 30B vs Qwen3-30B-A3B-Instruct-2507](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-30b-a3b-instruct-2507.md)
- [Granite 4.2 30B vs Qwen3-4B-Instruct-2507](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-4b-instruct-2507.md)
- [Granite 4.2 30B vs Qwen3.5-0.8B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-5-0-8b.md)
- [Granite 4.2 30B vs Qwen3.5-122B-A10B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-5-122b-a10b.md)
- [Granite 4.2 30B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-5-2b.md)
- [Granite 4.2 30B vs Qwen3.5-397B-A17B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-5-397b-a17b.md)
- [Granite 4.2 30B vs Qwen3.5-4B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-5-4b.md)
- [Granite 4.2 30B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-5-9b.md)
- [Granite 4.2 30B vs Qwen3.6-27B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-6-27b.md)
- [Granite 4.2 30B vs Qwen3.6-35B-A3B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-6-35b-a3b.md)
- [Granite 4.2 30B vs Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-8-flash-next.md)
- [Granite 4.2 30B vs Qwen3-Coder-30B-A3B-Instruct](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-coder-30b-a3b-instruct.md)
- [Granite 4.2 30B vs Qwen3-Coder-Next](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-coder-next.md)
- [Granite 4.2 30B vs Qwen3-Omni-30B-A3B-Instruct](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-omni-30b-a3b-instruct.md)
- [Granite 4.2 30B vs Qwen3-VL-2B-Instruct](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-vl-2b-instruct.md)
- [Granite 4.2 30B vs Qwen3-VL-30B-A3B-Instruct](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-vl-30b-a3b-instruct.md)
- [Granite 4.2 30B vs Qwen3-VL-32B-Instruct](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-vl-32b-instruct.md)
- [Granite 4.2 30B vs Qwen3-VL-4B-Instruct](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-vl-4b-instruct.md)
- [Granite 4.2 30B vs Qwen3-VL-8B-Instruct](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-vl-8b-instruct.md)
- [Granite 4.2 30B vs Qwopus3.8-27B-Flash-V2](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwopus3-8-27b-flash-v2.md)
- [Granite 4.2 30B vs Recursive Flint](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-recursive-flint.md)
- [Granite 4.2 30B vs Ripple-65B Preview](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-ripple-65b-preview.md)
- [Granite 4.2 30B vs SenseNova-Loop-9B-Preview](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-sensenova-loop-9b-preview.md)
- [Granite 4.2 30B vs SmolLM3-3B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-smollm3-3b.md)
- [Granite 4.2 30B vs Spark-X2.6-4B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-spark-x2-6-4b.md)
- [Granite 4.2 30B vs Step 3.7 Flash](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-step-3-7-flash.md)
- [Granite 4.2 30B vs Swift 1.5 Qwen3.8-27B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-swift-1-5-qwen3-8-27b.md)
- [Granite 4.2 30B vs Swift 1.5 Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-swift-1-5-qwen3-8-flash-next.md)
- [Granite 4.2 30B vs ThinkingCap (Qwen3.8 27B)](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-thinkingcap-qwen3-8-27b.md)
- [Granite 4.2 30B vs Baidu Unlimited-OCR-2](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-unlimited-ocr-2.md)
- [Granite 4.2 30B vs WeVisOne-VL-2B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-wevisone-vl-2b.md)
- [Granite 4.2 30B vs WeVisOne-VL-4B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-wevisone-vl-4b.md)
- [Granite 4.2 30B vs ZAYA1-8B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-zaya1-8b.md)
- [Granite 4.2 3B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/granite-4-2-3b-vs-qwen3-8-27b.md)
- [Granite 4.2 8B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/granite-4-2-8b-vs-qwen3-8-27b.md)
- [Hy-Memory-30B-A3B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-qwen3-8-27b.md)
- [Hy3 vs Qwen3.8-27B](https://www.anchorterminal.com/compare/hy3-vs-qwen3-8-27b.md)
- [Inkling-Small vs Qwen3.8-27B](https://www.anchorterminal.com/compare/inkling-small-vs-qwen3-8-27b.md)
- [Inkling vs Qwen3.8-27B](https://www.anchorterminal.com/compare/inkling-vs-qwen3-8-27b.md)
- [InternVL3.5-GPT-OSS-20B-A4B-Preview vs Qwen3.8-27B](https://www.anchorterminal.com/compare/internvl3-5-gpt-oss-20b-a4b-preview-vs-qwen3-8-27b.md)
- [Kimi K3.1 Pro vs Qwen3.8-27B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-8-27b.md)
- [Kimi K3 vs Qwen3.8-27B](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-8-27b.md)
- [Kolibri-1 vs Qwen3.8-27B](https://www.anchorterminal.com/compare/kolibri-1-vs-qwen3-8-27b.md)
- [Kronos vs Qwen3.8-27B](https://www.anchorterminal.com/compare/kronos-vs-qwen3-8-27b.md)
- [Laguna M.1 vs Qwen3.8-27B](https://www.anchorterminal.com/compare/laguna-m-1-vs-qwen3-8-27b.md)
- [Laguna S 2.1 vs Qwen3.8-27B](https://www.anchorterminal.com/compare/laguna-s-2-1-vs-qwen3-8-27b.md)
- [Laguna XS 2.1 vs Qwen3.8-27B](https://www.anchorterminal.com/compare/laguna-xs-2-1-vs-qwen3-8-27b.md)
- [LBS-27B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/lbs-27b-vs-qwen3-8-27b.md)
- [LFM2.5-2.6B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-qwen3-8-27b.md)
- [LFM3-1.7B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/lfm3-1-7b-vs-qwen3-8-27b.md)
- [LFM3-Audio-2B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-qwen3-8-27b.md)
- [LFM3-Omni-2B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/lfm3-omni-2b-vs-qwen3-8-27b.md)
- [LFM3-VL-2B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/lfm3-vl-2b-vs-qwen3-8-27b.md)
- [Ling-3.0-tiny vs Qwen3.8-27B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-8-27b.md)
- [Ling-3.1-flash-1019 vs Qwen3.8-27B](https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-qwen3-8-27b.md)
- [LongCat-2.5 vs Qwen3.8-27B](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-8-27b.md)
- [MiMo-V2.6 Distill Qwen 9B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/mimo-v2-6-distill-qwen-9b-vs-qwen3-8-27b.md)
- [MiMo-V2.6-Flash-RL vs Qwen3.8-27B](https://www.anchorterminal.com/compare/mimo-v2-6-flash-rl-vs-qwen3-8-27b.md)
- [MiniCPM-o 4.5 vs Qwen3.8-27B](https://www.anchorterminal.com/compare/minicpm-o-4-5-vs-qwen3-8-27b.md)
- [MiniCPM-V 4.7 1B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/minicpm-v-4-7-1b-vs-qwen3-8-27b.md)
- [MiniCPM-V 4.7 35B-A3B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/minicpm-v-4-7-35b-a3b-vs-qwen3-8-27b.md)
- [MiniCPM5-2B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/minicpm5-2b-vs-qwen3-8-27b.md)
- [MiniMax-M2.5 vs Qwen3.8-27B](https://www.anchorterminal.com/compare/minimax-m2-5-vs-qwen3-8-27b.md)
- [MiniMax-M2.7 vs Qwen3.8-27B](https://www.anchorterminal.com/compare/minimax-m2-7-vs-qwen3-8-27b.md)
- [MiniMax-M3.1-Flash vs Qwen3.8-27B](https://www.anchorterminal.com/compare/minimax-m3-1-flash-vs-qwen3-8-27b.md)
- [Mistral Large 4 vs Qwen3.8-27B](https://www.anchorterminal.com/compare/mistral-large-4-vs-qwen3-8-27b.md)
- [Muse Glimmer 30B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-8-27b.md)
- [Nanbeige4.2-3B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-8-27b.md)
- [Nanbeige4.3-33B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/nanbeige-4-3-33b-vs-qwen3-8-27b.md)
- [NVIDIA Nemotron 3.5 Bolt E4B 4GB vs Qwen3.8-27B](https://www.anchorterminal.com/compare/nemotron-3-5-bolt-e4b-4gb-vs-qwen3-8-27b.md)
- [Nemotron 3.5 Lightning 30B A3B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/nemotron-3-5-lightning-30b-a3b-vs-qwen3-8-27b.md)
- [Nemotron 3 Nano 30B A3B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/nemotron-3-nano-30b-a3b-vs-qwen3-8-27b.md)
- [Nemotron 3 Nano 4B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/nemotron-3-nano-4b-vs-qwen3-8-27b.md)
- [Nemotron 3 Nano Omni 30B A3B Reasoning vs Qwen3.8-27B](https://www.anchorterminal.com/compare/nemotron-3-nano-omni-30b-a3b-reasoning-vs-qwen3-8-27b.md)
- [Nemotron 3 Super 120B A12B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/nemotron-3-super-120b-a12b-vs-qwen3-8-27b.md)
- [Nemotron 3 Ultra 550B A55B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/nemotron-3-ultra-550b-a55b-vs-qwen3-8-27b.md)
- [North Mini Code 1.0 vs Qwen3.8-27B](https://www.anchorterminal.com/compare/north-mini-code-1-0-vs-qwen3-8-27b.md)
- [occamy-1.0 vs Qwen3.8-27B](https://www.anchorterminal.com/compare/occamy-1-0-vs-qwen3-8-27b.md)
- [Olmo 3 7B Think vs Qwen3.8-27B](https://www.anchorterminal.com/compare/olmo-3-7b-think-vs-qwen3-8-27b.md)
- [Ornith-1.5-122B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/ornith-1-5-122b-vs-qwen3-8-27b.md)
- [Ornith-1.5-35B-A3B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/ornith-1-5-35b-a3b-vs-qwen3-8-27b.md)
- [Ornith-1.5-397B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/ornith-1-5-397b-vs-qwen3-8-27b.md)
- [Ornith-1.5-9B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/ornith-1-5-9b-vs-qwen3-8-27b.md)
- [OTel-2.0-LLM-31B-IT vs Qwen3.8-27B](https://www.anchorterminal.com/compare/otel-2-0-llm-31b-it-vs-qwen3-8-27b.md)
- [Qwen-AgentWorld-35B-A3B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-qwen3-8-27b.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)
- [Qwen3-4B-Instruct-2507 vs Qwen3.8-27B](https://www.anchorterminal.com/compare/qwen3-4b-instruct-2507-vs-qwen3-8-27b.md)
- [Qwen3.5-0.8B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/qwen3-5-0-8b-vs-qwen3-8-27b.md)
- [Qwen3.5-122B-A10B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/qwen3-5-122b-a10b-vs-qwen3-8-27b.md)
- [Qwen3.5-2B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-qwen3-8-27b.md)
- [Qwen3.5-397B-A17B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/qwen3-5-397b-a17b-vs-qwen3-8-27b.md)
- [Qwen3.5-4B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/qwen3-5-4b-vs-qwen3-8-27b.md)
- [Qwen3.5-9B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-8-27b.md)
- [Qwen3.6-27B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/qwen3-6-27b-vs-qwen3-8-27b.md)
- [Qwen3.6-35B-A3B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/qwen3-6-35b-a3b-vs-qwen3-8-27b.md)
- [Qwen3.8-27B vs Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-qwen3-8-flash-next.md)
- [Qwen3.8-27B vs Qwen3-Coder-30B-A3B-Instruct](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-qwen3-coder-30b-a3b-instruct.md)
- [Qwen3.8-27B vs Qwen3-Coder-Next](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-qwen3-coder-next.md)
- [Qwen3.8-27B vs Qwen3-Omni-30B-A3B-Instruct](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-qwen3-omni-30b-a3b-instruct.md)
- [Qwen3.8-27B vs Qwen3-VL-2B-Instruct](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-qwen3-vl-2b-instruct.md)
- [Qwen3.8-27B vs Qwen3-VL-30B-A3B-Instruct](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-qwen3-vl-30b-a3b-instruct.md)
- [Qwen3.8-27B vs Qwen3-VL-32B-Instruct](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-qwen3-vl-32b-instruct.md)
- [Qwen3.8-27B vs Qwen3-VL-4B-Instruct](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-qwen3-vl-4b-instruct.md)
- [Qwen3.8-27B vs Qwen3-VL-8B-Instruct](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-qwen3-vl-8b-instruct.md)
- [Qwen3.8-27B vs Qwopus3.8-27B-Flash-V2](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-qwopus3-8-27b-flash-v2.md)
- [Qwen3.8-27B vs Recursive Flint](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-recursive-flint.md)
- [Qwen3.8-27B vs Ripple-65B Preview](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-ripple-65b-preview.md)
- [Qwen3.8-27B vs SenseNova-Loop-9B-Preview](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-sensenova-loop-9b-preview.md)
- [Qwen3.8-27B vs SmolLM3-3B](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-smollm3-3b.md)
- [Qwen3.8-27B vs Spark-X2.6-4B](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-spark-x2-6-4b.md)
- [Qwen3.8-27B vs Step 3.7 Flash](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-step-3-7-flash.md)
- [Qwen3.8-27B vs Swift 1.5 Qwen3.8-27B](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-swift-1-5-qwen3-8-27b.md)
- [Qwen3.8-27B vs Swift 1.5 Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-swift-1-5-qwen3-8-flash-next.md)
- [Qwen3.8-27B vs ThinkingCap (Qwen3.8 27B)](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-thinkingcap-qwen3-8-27b.md)
- [Qwen3.8-27B vs Baidu Unlimited-OCR-2](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-unlimited-ocr-2.md)
- [Qwen3.8-27B vs WeVisOne-VL-2B](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-wevisone-vl-2b.md)
- [Qwen3.8-27B vs WeVisOne-VL-4B](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-wevisone-vl-4b.md)
- [Qwen3.8-27B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-zaya1-8b.md)

---

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