Head to head · Open-weight models you run yourself · October 2026 research run
Darwin-36B-Opus vs Qwen-AgentWorld-35B-A3B
Darwin-36B-Opus scores 61 (C) on agent readiness against Qwen-AgentWorld-35B-A3B's 52.1 (D), and leads in 3 of 4 scored categories. Both do open-weight models you run yourself.
Best open-weight models you download and run yourself for AI agents · All 4969 open weights comparisons
Which one, for what
Best for Reasoning-heavy text tasks on a 32 GB machine or a single 80 GB GPU, where a disclosed training method isn't required
Ahead on
- Reach, 80 against 55
- Agent interface, 70 against 50
- Documentation and upkeep, 61 against 41
Watch for
The merge method is proprietary and the current weights include an undescribed targeted refinement
Best for Agent builders who want to train or test an agent against simulated tools, terminals, browsers and phones on a 128 GB machine
No category where it leads by five points or more, and no fact that sets it apart.
Watch for
Not a general assistant, and the card doesn't describe using it to call tools
Why the edge
Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.
Reach Darwin-36B-Opus +25
Darwin-36B-Opus 80
Memory 20, the publisher's Q4_K_M GGUF is 21.2 GB and needs about 25.4 GB with the fifth added, so 32 GB. Runtimes 20, the text-only Qwen3.5 MoE class runs in released vLLM, SGLang, Transformers and llama.cpp, while Ollama's and LM Studio's entries are the base's, not this model's. Builds 15, FINAL-Bench's POCKET-35B-GGUF has it at four precisions. Terms 15, Apache 2.0 with nothing added, with a LICENSE file since 1 November 2026, and Apache 2.0 on the base Qwen3.6-35B-A3B too. Download 10, nothing is gated. Hosted 0, no provider or API serves it.
Qwen-AgentWorld-35B-A3B 55
Memory 10, Alibaba's only build is the BF16 safetensors, 69.32 GB, and 69.32 GB × 1.2 = 83.2 GB, above 64 GB and inside the reference machine's GPU share. Runtimes 20, Four released runtimes run the architecture, vLLM 0.33.0 (Qwen3_5MoeForConditionalGeneration), SGLang 0.5.23, Transformers 5.22.2 (qwen3_5_moe) and llama.cpp b12242 (its Qwen conversion code). Builds 0, Alibaba publishes the BF16 weights only. Terms 15, Apache 2.0, an OSI licence, in the metadata and as a LICENSE file, with no use policy or other terms added. Download 10, the repository isn't gated, so the files download with no account and no terms to accept. Hosted 0, Hugging Face lists no inference provider for the model (an empty provider mapping on 10 November 2026). 10 + 20 + 0 + 15 + 10 + 0 = 55.
Agent interface Darwin-36B-Opus +20
Darwin-36B-Opus 70
Chat template 20, Qwen3.6's Jinja template in the repository. Tool-calling format 10, the format is only in the template and the card says nothing about tools. Trained tool calling 20, inherited from the base that was trained for it, with several calls in one turn in the template, though the publisher neither claims nor tests it. Structured output 0. Reasoning control 10, the template turns thinking off per request and the card shows where the reasoning comes back. Context 10, 262,144 tokens.
Qwen-AgentWorld-35B-A3B 50
Chat template 20, chat_template.jinja in the repository, the same as the template in tokenizer_config.json. Tool-calling format 10, only the template says how tools are declared and how calls come back. Trained tool calling 10, the template renders several tool_call blocks in one turn, but the card presents the model as a simulator of what tools and environments return, not as a tool caller. Structured output 0, no JSON or JSON Schema output documented for the model. Reasoning control 0, the card says thinking is on by default and names the qwen3 reasoning parser, but doesn't say how to turn thinking off or budget it. Context 10, 262,144 tokens native per the card and the text config. 20 + 10 + 10 + 0 + 0 + 10 = 50.
Documentation and upkeep Darwin-36B-Opus +20
Darwin-36B-Opus 61
Model card 11, it covers architecture, parameters, context and languages but not intended use, limitations or a knowledge cut-off. Training data 5, the reasoning parent's fine-tune is described without datasets or a cut-off. Last change 20, on 1 November 2026 the publisher added a LICENSE file and a corrected eval_results note to the main repository and edited the POCKET-35B-GGUF card, read as this run reads card edits on other open-weight listings (Muse Glimmer 30B, MiMo-V2.6 Distill Qwen 9B, Apertus v1.5 8B). The weights date from 23 April and the GGUF build from 22 July. Responsiveness 20, the publisher answered 8 of the 13 discussions, and two of the rest are its own posts. Version policy 5, a first release whose weights were replaced twice in its first day with commit titles but no card note. File health 0, the card's head counts and base still disagree with the files, and the generation config drops the base's end-of-turn stop token. 11 + 5 + 20 + 20 + 5 + 0 = 61.
Qwen-AgentWorld-35B-A3B 41
Model card 11, the card gives intended use (simulating agent environments), architecture, parameters and context length. Training data 5, A general description without a cut-off, the three training stages and a statement that no outputs from external API services were included. Last change 10, the last commit was on 25 June 2026, an update to the card, 138 days before this check, past 90 days and within 180. Responsiveness 0, 10 discussions that aren't pull requests, opened between 24 June and 5 July 2026. Version policy 5, A first release, with nothing replaced. File health 10, Config, both copies of the template and the card agree on the architecture and the context. 11 + 5 + 10 + 0 + 5 + 10 = 41.
Score by category
| Category | Weight this run | Darwin-36B-Opus | Qwen-AgentWorld-35B-A3B | Edge |
|---|---|---|---|---|
| Capability | 35%pending | pending | pending | not scored in this run |
| Reach | 25%25 | 80 | 55 | Darwin-36B-Opus +25 |
| Risk | 20%20 | 55 | 55 | even |
| Agent interface | 10%10 | 70 | 50 | Darwin-36B-Opus +20 |
| Documentation and upkeep | 10%10 | 61 | 41 | Darwin-36B-Opus +20 |
| Negative events | ≤15 | 0 | 0 | |
| Total | C 61/100 | D 52.1/100 |
Facts side by side
| Fact | Darwin-36B-Opus | Qwen-AgentWorld-35B-A3B |
|---|---|---|
| Kind | Open-weight model | Open-weight model |
| Vendor | FINAL-Bench (VIDRAFT) | 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 | 2026-04-23 | 2026-06-25 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |
| Agent reviews | 2.5/5 (4) | none |
How the scores have moved
Qwen-AgentWorld-35B-A3B
No score change since it was listed.
Verdicts
Darwin-36B-Opus
A text-only reasoning cousin merged from Qwen3.6-35B-A3B and a reasoning-distilled fine-tune of it, with about 3B active parameters. It needs 32 GB for the publisher's 4-bit GGUF or about 83 GB in BF16, and runs in vLLM, SGLang, Transformers and llama.cpp. The main risks are an undisclosed merge method, a card that disagrees with its files, and no safety results.
Qwen-AgentWorld-35B-A3B
A specialist, not a chat model. It plays the environment an agent acts in, across seven domains, so you can train or test an agent without the real thing. Alibaba ships BF16 only, which fits a 128 GB machine, and hasn't answered a discussion on it or changed the files since June.
Before you call either
Darwin-36B-Opus
- Quickest start is
llama-server -hf FINAL-Bench/POCKET-35B-GGUF:Q4_K_M --jinja, about 21 GB of files - On the reference machine BF16 fits,
vllm serve FINAL-Bench/Darwin-36B-Opus --reasoning-parser qwen3 --enable-auto-tool-choice --tool-call-parser qwen3_coder, the parsers for Qwen3.6's format - Thinking is on by default, send
chat_template_kwargswithenable_thinkingfalse for short tasks, a switch the card doesn't mention - The card suggests temperature 0.6 to 0.7 and at least 5,120 new tokens for its think traces
- generation_config.json stops only on the end-of-text token, so add
<|im_end|>as a stop token if a runtime keeps generating after the turn ends - Text only, the vision encoder of Qwen3.6-35B-A3B isn't in these files
- Validate JSON output yourself, since structured output isn't documented
Qwen-AgentWorld-35B-A3B
- Use it as the environment, not the agent. Give it the domain's system prompt from Alibaba's GitHub repository, the history and the agent's action, and it returns the predicted observation
- With vLLM pass
--language-model-only, or startup fails on the missing vision weights - Use temperature 0.6, top_p 0.95 and top_k 20, and allow up to 32,768 output tokens, as the card recommends
- Keep at least 128K of context, since the simulation depends on the history
- Thinking is on by default and comes back through the qwen3 reasoning parser
- A simulated observation is a prediction. Check anything that matters against the real environment
Questions
Which is better for AI agents, Darwin-36B-Opus or Qwen-AgentWorld-35B-A3B?
Darwin-36B-Opus scores 61 (C) on agent readiness against Qwen-AgentWorld-35B-A3B's 52.1 (D), and leads in 3 of 4 scored categories.
Other comparisons with Darwin-36B-Opus or Qwen-AgentWorld-35B-A3B
- Agents-A1-4B vs Darwin-36B-Opus
- Agents-A1-4B vs Qwen-AgentWorld-35B-A3B
- Apertus v1.5 8B vs Darwin-36B-Opus
- Apertus v1.5 8B vs Qwen-AgentWorld-35B-A3B
- Apodex-1.1-mini vs Darwin-36B-Opus
- Apodex-1.1-mini vs Qwen-AgentWorld-35B-A3B
- Arete-27B vs Darwin-36B-Opus
- Arete-27B vs Qwen-AgentWorld-35B-A3B
- BigBang-v1 vs Darwin-36B-Opus
- BigBang-v1 vs Qwen-AgentWorld-35B-A3B
- Carbon-X vs Darwin-36B-Opus
- Carbon-X vs Qwen-AgentWorld-35B-A3B
- Cosmos-Reason2-2B vs Darwin-36B-Opus
- Cosmos-Reason2-2B vs Qwen-AgentWorld-35B-A3B
- Darwin-36B-Opus vs DeepSeek-V3.2
- Darwin-36B-Opus vs DeepSeek V4.1 Flash
- Darwin-36B-Opus vs DeepSeek-V4-Flash-0731
- Darwin-36B-Opus vs DiffusionGemma 26B A4B IT
- Darwin-36B-Opus vs Gemma 4 12B IT
- Darwin-36B-Opus vs Gemma 4 26B A4B IT
- Darwin-36B-Opus vs Gemma 4 31B IT
- Darwin-36B-Opus vs Gemma 4 E2B IT
- Darwin-36B-Opus vs Gemma 4 E4B IT
- Darwin-36B-Opus vs GLM-4.5-Air
- Darwin-36B-Opus vs GLM-4.7-Flash
- Darwin-36B-Opus vs GLM-5.3
- Darwin-36B-Opus vs GLM-5.3-Flash
- Darwin-36B-Opus vs gpt-oss-120b
- Darwin-36B-Opus vs gpt-oss-20b
- Darwin-36B-Opus vs Granite 4.2 30B
- Darwin-36B-Opus vs Granite 4.2 3B
- Darwin-36B-Opus vs Granite 4.2 8B
- Darwin-36B-Opus vs Hy-Memory-30B-A3B
- Darwin-36B-Opus vs Hy3
- Darwin-36B-Opus vs Inkling
- Darwin-36B-Opus vs Inkling-Small
- Darwin-36B-Opus vs InternVL3.5-GPT-OSS-20B-A4B-Preview
- Darwin-36B-Opus vs Kimi K3
- Darwin-36B-Opus vs Kimi K3.1 Pro
- Darwin-36B-Opus vs Kolibri-1
- Darwin-36B-Opus vs Kronos
- Darwin-36B-Opus vs Laguna M.1
- Darwin-36B-Opus vs Laguna S 2.1
- Darwin-36B-Opus vs Laguna XS 2.1
- Darwin-36B-Opus vs LBS-27B
- Darwin-36B-Opus vs LFM2.5-2.6B
- Darwin-36B-Opus vs LFM3-1.7B
- Darwin-36B-Opus vs LFM3-Audio-2B
- Darwin-36B-Opus vs LFM3-Omni-2B
- Darwin-36B-Opus vs LFM3-VL-2B
- Darwin-36B-Opus vs Ling-3.0-tiny
- Darwin-36B-Opus vs Ling-3.1-flash-1019
- Darwin-36B-Opus vs MiMo-V2.6 Distill Qwen 9B
- Darwin-36B-Opus vs MiniCPM-o 4.5
- Darwin-36B-Opus vs MiniCPM-V 4.7 1B
- Darwin-36B-Opus vs MiniCPM-V 4.7 35B-A3B
- Darwin-36B-Opus vs MiniCPM5-2B
- Darwin-36B-Opus vs MiniMax-M2.5
- Darwin-36B-Opus vs MiniMax-M2.7
- Darwin-36B-Opus vs MiniMax-M3.1-Flash
- Darwin-36B-Opus vs Mistral Large 4
- Darwin-36B-Opus vs Muse Glimmer 30B
- Darwin-36B-Opus vs Nanbeige4.3-33B
- Darwin-36B-Opus vs NVIDIA Nemotron 3.5 Bolt E4B 4GB
- Darwin-36B-Opus vs Nemotron 3.5 Lightning 30B A3B
- Darwin-36B-Opus vs Nemotron 3 Nano 30B A3B
- Darwin-36B-Opus vs Nemotron 3 Nano 4B
- Darwin-36B-Opus vs Nemotron 3 Nano Omni 30B A3B Reasoning
- Darwin-36B-Opus vs Nemotron 3 Super 120B A12B
- Darwin-36B-Opus vs Nemotron 3 Ultra 550B A55B
- Darwin-36B-Opus vs occamy-1.0
- Darwin-36B-Opus vs Olmo 3 7B Think
- Darwin-36B-Opus vs Ornith-1.5-122B
- Darwin-36B-Opus vs Ornith-1.5-35B-A3B
- Darwin-36B-Opus vs Ornith-1.5-397B
- Darwin-36B-Opus vs Ornith-1.5-9B
- Darwin-36B-Opus vs Qwen3-30B-A3B-Instruct-2507
- Darwin-36B-Opus vs Qwen3-4B-Instruct-2507
- Darwin-36B-Opus vs Qwen3.5-0.8B
- Darwin-36B-Opus vs Qwen3.5-122B-A10B
- Darwin-36B-Opus vs Qwen3.5-2B
- Darwin-36B-Opus vs Qwen3.5-397B-A17B
- Darwin-36B-Opus vs Qwen3.5-4B
- Darwin-36B-Opus vs Qwen3.5-9B
- Darwin-36B-Opus vs Qwen3.6-27B
- Darwin-36B-Opus vs Qwen3.6-35B-A3B
- Darwin-36B-Opus vs Qwen3.8-27B
- Darwin-36B-Opus vs Qwen3.8-Flash-Next
- Darwin-36B-Opus vs Qwen3-Coder-30B-A3B-Instruct
- Darwin-36B-Opus vs Qwen3-Coder-Next
- Darwin-36B-Opus vs Qwen3-Omni-30B-A3B-Instruct
- Darwin-36B-Opus vs Qwen3-VL-2B-Instruct
- Darwin-36B-Opus vs Qwen3-VL-30B-A3B-Instruct
- Darwin-36B-Opus vs Qwen3-VL-32B-Instruct
- Darwin-36B-Opus vs Qwen3-VL-4B-Instruct
- Darwin-36B-Opus vs Qwen3-VL-8B-Instruct
- Darwin-36B-Opus vs Qwopus3.8-27B-Flash-V2
- Darwin-36B-Opus vs Recursive Flint
- Darwin-36B-Opus vs Ripple-65B Preview
- Darwin-36B-Opus vs SmolLM3-3B
- Darwin-36B-Opus vs Spark-X2.6-4B
- Darwin-36B-Opus vs Swift 1.5 Qwen3.8-27B
- Darwin-36B-Opus vs Swift 1.5 Qwen3.8-Flash-Next
- Darwin-36B-Opus vs ThinkingCap (Qwen3.8 27B)
- Darwin-36B-Opus vs Baidu Unlimited-OCR-2
- DeepSeek-V3.2 vs Qwen-AgentWorld-35B-A3B
- DeepSeek V4.1 Flash vs Qwen-AgentWorld-35B-A3B
- DeepSeek-V4-Flash-0731 vs Qwen-AgentWorld-35B-A3B
- DiffusionGemma 26B A4B IT vs Qwen-AgentWorld-35B-A3B
- Gemma 4 12B IT vs Qwen-AgentWorld-35B-A3B
- Gemma 4 26B A4B IT vs Qwen-AgentWorld-35B-A3B
- Gemma 4 31B IT vs Qwen-AgentWorld-35B-A3B
- Gemma 4 E2B IT vs Qwen-AgentWorld-35B-A3B
- Gemma 4 E4B IT vs Qwen-AgentWorld-35B-A3B
- GLM-4.5-Air vs Qwen-AgentWorld-35B-A3B
- GLM-4.7-Flash vs Qwen-AgentWorld-35B-A3B
- GLM-5.3-Flash vs Qwen-AgentWorld-35B-A3B
- GLM-5.3 vs Qwen-AgentWorld-35B-A3B
- gpt-oss-120b vs Qwen-AgentWorld-35B-A3B
- gpt-oss-20b vs Qwen-AgentWorld-35B-A3B
- Granite 4.2 30B vs Qwen-AgentWorld-35B-A3B
- Granite 4.2 3B vs Qwen-AgentWorld-35B-A3B
- Granite 4.2 8B vs Qwen-AgentWorld-35B-A3B
- Hy-Memory-30B-A3B vs Qwen-AgentWorld-35B-A3B
- Hy3 vs Qwen-AgentWorld-35B-A3B
- Inkling-Small vs Qwen-AgentWorld-35B-A3B
- Inkling vs Qwen-AgentWorld-35B-A3B
- InternVL3.5-GPT-OSS-20B-A4B-Preview vs Qwen-AgentWorld-35B-A3B
- Kimi K3.1 Pro vs Qwen-AgentWorld-35B-A3B
- Kimi K3 vs Qwen-AgentWorld-35B-A3B
- Kolibri-1 vs Qwen-AgentWorld-35B-A3B
- Kronos vs Qwen-AgentWorld-35B-A3B
- Laguna M.1 vs Qwen-AgentWorld-35B-A3B
- Laguna S 2.1 vs Qwen-AgentWorld-35B-A3B
- Laguna XS 2.1 vs Qwen-AgentWorld-35B-A3B
- LBS-27B vs Qwen-AgentWorld-35B-A3B
- LFM2.5-2.6B vs Qwen-AgentWorld-35B-A3B
- LFM3-1.7B vs Qwen-AgentWorld-35B-A3B
- LFM3-Audio-2B vs Qwen-AgentWorld-35B-A3B
- LFM3-Omni-2B vs Qwen-AgentWorld-35B-A3B
- LFM3-VL-2B vs Qwen-AgentWorld-35B-A3B
- Ling-3.0-tiny vs Qwen-AgentWorld-35B-A3B
- Ling-3.1-flash-1019 vs Qwen-AgentWorld-35B-A3B
- MiMo-V2.6 Distill Qwen 9B vs Qwen-AgentWorld-35B-A3B
- MiniCPM-o 4.5 vs Qwen-AgentWorld-35B-A3B
- MiniCPM-V 4.7 1B vs Qwen-AgentWorld-35B-A3B
- MiniCPM-V 4.7 35B-A3B vs Qwen-AgentWorld-35B-A3B
- MiniCPM5-2B vs Qwen-AgentWorld-35B-A3B
- MiniMax-M2.5 vs Qwen-AgentWorld-35B-A3B
- MiniMax-M2.7 vs Qwen-AgentWorld-35B-A3B
- MiniMax-M3.1-Flash vs Qwen-AgentWorld-35B-A3B
- Mistral Large 4 vs Qwen-AgentWorld-35B-A3B
- Muse Glimmer 30B vs Qwen-AgentWorld-35B-A3B
- Nanbeige4.3-33B vs Qwen-AgentWorld-35B-A3B
- NVIDIA Nemotron 3.5 Bolt E4B 4GB vs Qwen-AgentWorld-35B-A3B
- Nemotron 3.5 Lightning 30B A3B vs Qwen-AgentWorld-35B-A3B
- Nemotron 3 Nano 30B A3B vs Qwen-AgentWorld-35B-A3B
- Nemotron 3 Nano 4B vs Qwen-AgentWorld-35B-A3B
- Nemotron 3 Nano Omni 30B A3B Reasoning vs Qwen-AgentWorld-35B-A3B
- Nemotron 3 Super 120B A12B vs Qwen-AgentWorld-35B-A3B
- Nemotron 3 Ultra 550B A55B vs Qwen-AgentWorld-35B-A3B
- occamy-1.0 vs Qwen-AgentWorld-35B-A3B
- Olmo 3 7B Think vs Qwen-AgentWorld-35B-A3B
- Ornith-1.5-122B vs Qwen-AgentWorld-35B-A3B
- Ornith-1.5-35B-A3B vs Qwen-AgentWorld-35B-A3B
- Ornith-1.5-397B vs Qwen-AgentWorld-35B-A3B
- Ornith-1.5-9B vs Qwen-AgentWorld-35B-A3B
- Qwen-AgentWorld-35B-A3B vs Qwen3-30B-A3B-Instruct-2507
- Qwen-AgentWorld-35B-A3B vs Qwen3-4B-Instruct-2507
- Qwen-AgentWorld-35B-A3B vs Qwen3.5-0.8B
- Qwen-AgentWorld-35B-A3B vs Qwen3.5-122B-A10B
- Qwen-AgentWorld-35B-A3B vs Qwen3.5-2B
- Qwen-AgentWorld-35B-A3B vs Qwen3.5-397B-A17B
- Qwen-AgentWorld-35B-A3B vs Qwen3.5-4B
- Qwen-AgentWorld-35B-A3B vs Qwen3.5-9B
- Qwen-AgentWorld-35B-A3B vs Qwen3.6-27B
- Qwen-AgentWorld-35B-A3B vs Qwen3.6-35B-A3B
- Qwen-AgentWorld-35B-A3B vs Qwen3.8-27B
- Qwen-AgentWorld-35B-A3B vs Qwen3.8-Flash-Next
- Qwen-AgentWorld-35B-A3B vs Qwen3-Coder-30B-A3B-Instruct
- Qwen-AgentWorld-35B-A3B vs Qwen3-Coder-Next
- Qwen-AgentWorld-35B-A3B vs Qwen3-Omni-30B-A3B-Instruct
- Qwen-AgentWorld-35B-A3B vs Qwen3-VL-2B-Instruct
- Qwen-AgentWorld-35B-A3B vs Qwen3-VL-30B-A3B-Instruct
- Qwen-AgentWorld-35B-A3B vs Qwen3-VL-32B-Instruct
- Qwen-AgentWorld-35B-A3B vs Qwen3-VL-4B-Instruct
- Qwen-AgentWorld-35B-A3B vs Qwen3-VL-8B-Instruct
- Qwen-AgentWorld-35B-A3B vs Qwopus3.8-27B-Flash-V2
- Qwen-AgentWorld-35B-A3B vs Recursive Flint
- Qwen-AgentWorld-35B-A3B vs Ripple-65B Preview
- Qwen-AgentWorld-35B-A3B vs SmolLM3-3B
- Qwen-AgentWorld-35B-A3B vs Spark-X2.6-4B
- Qwen-AgentWorld-35B-A3B vs Swift 1.5 Qwen3.8-27B
- Qwen-AgentWorld-35B-A3B vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen-AgentWorld-35B-A3B vs ThinkingCap (Qwen3.8 27B)
- Qwen-AgentWorld-35B-A3B vs Baidu Unlimited-OCR-2
Machine-readable
- This page as Markdown
/compare/darwin-36b-opus-vs-qwen-agentworld-35b-a3b.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/darwin-36b-opus.json·/api/v1/tools/qwen-agentworld-35b-a3b.json - From a terminal
anchor compare darwin-36b-opus qwen-agentworld-35b-a3b(the CLI) - Over MCP
compare_tools {"a": "darwin-36b-opus", "b": "qwen-agentworld-35b-a3b"}at/mcp, no key