Head to head · Open-weight models you run yourself · October 2026 research run
MiniCPM-V 4.7 35B-A3B vs Qwopus3.8-27B-Flash-V2
MiniCPM-V 4.7 35B-A3B and Qwopus3.8-27B-Flash-V2 score within a point of each other on agent readiness, 61 (C) and 61 (C). Both do open-weight models you run yourself.
Best open-weight models you download and run yourself for AI agents · All 6359 open weights comparisons
Which one, for what
Best for Agents that need to read screenshots, documents and video on a local machine with 24 to 32 GB for the model, under a permissive licence
Ahead on
- Reach, 90 against 85
- Risk, 55 against 50
- Agent interface, 70 against 60
- Documentation and upkeep, 68 against 51
Watch for
No limitations section, safety results, agent-use guidance or security contact
Best for Hobbyist and research agents that want a Qwen3.8-27B tuned for shorter reasoning, for local coding loops on a 24 GB GPU.
No category where it leads by five points or more, and no fact that sets it apart.
Watch for
Published from a personal account, with no organisation, security contact or safety evaluation
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.
Documentation and upkeep MiniCPM-V 4.7 35B-A3B +17
MiniCPM-V 4.7 35B-A3B 68
Model card 8, it covers intended use, architecture and parameters but not limitations, context length, languages or a knowledge cut-off. Training data 0, none described. Last change 20, a commit on 3 November 2026. Responsiveness 20, OpenBMB answered 8 of 12 discussions. Version policy 10, earlier versions keep their repositories and the changes are dated and described. File health 10, the files agree. 8 + 0 + 20 + 20 + 10 + 10 = 68.
Qwopus3.8-27B-Flash-V2 51
Model card 11 of 20, missing architecture, context and a cut-off. Training data 5, a description with no cut-off. Last change 15, the files went up on 21 September 2026, 43 days ago, with no commit since. Responsiveness 10, Jackrong answered 2 of 8 discussions across the model's two repositories. Version policy 5, the first Flash release stays up without a dated note. File health 5, no LICENSE file, an experiment note in the template and open reports of looping and a grammar failure.
Agent interface MiniCPM-V 4.7 35B-A3B +10
MiniCPM-V 4.7 35B-A3B 70
Chat template 20, a Jinja file in the repository. Tool-calling format 10, the card shows the tools array going in but not the call coming back, and names no parser. Trained tool calling 20, the template renders several calls in one turn. Structured output 0, not documented or claimed. Reasoning control 10, enable_thinking per request, off by default, with the trace between markers. Context 10, 262,144 tokens native.
Qwopus3.8-27B-Flash-V2 60
Chat template 20, a Jinja file in the repository. Tool-calling format 10 of 25, only the template shows the Hermes-style JSON calls, which differ from the base's format. Trained tool calling 20, several calls a turn. Structured output 0, not documented. Reasoning control 0, the switches are documented but not where the reasoning comes back. Context 10, 262,144 tokens from the base.
Reach MiniCPM-V 4.7 35B-A3B +5
MiniCPM-V 4.7 35B-A3B 90
Memory 25, since OpenBMB's IQ4_XS GGUF with its vision projector is 19.6 GB and needs about 23.6 GB with the fifth added, which fits 24 GB, while its Q4_K_M GGUF, 4-bit safetensors builds and Ollama entry need 32 GB. Runtimes 25, from vLLM 0.33.0, SGLang 0.5.23, Transformers 5.18.0 and later, llama.cpp's own MiniCPM-V 4.7 support and OpenBMB's entry on Ollama. Builds 15, OpenBMB publishes FP8, three 4-bit safetensors builds and GGUF. Terms 15, Apache 2.0 with nothing added. Download 10, nothing is gated. Hosted 0, no inference provider is mapped. 25 + 25 + 15 + 15 + 10 + 0 = 90.
Qwopus3.8-27B-Flash-V2 85
Memory 25 of 30, Jackrong's IQ4_XS GGUF is 15.4 GB, about 18.5 GB with a fifth added, which fits 24 GB. Runtimes 20, it keeps Qwen3.8-27B's architecture, which released vLLM, SGLang, Transformers and llama.cpp run, while Ollama's entry is the base's, not this model's. Builds 15, GGUFs at many precisions from 4-bit to 8-bit and BF16. Terms 15, Apache 2.0 through the chain. Download 10, nothing is gated. Hosted 0, no provider serves it.
Risk MiniCPM-V 4.7 35B-A3B +5
MiniCPM-V 4.7 35B-A3B 55
File safety 25, safetensors and GGUF only, no Python in the main repository and no remote code needed. Provenance 15, the files come from the openbmb organisation OpenBMB's GitHub README links to, with a SHA-256 for every weight file. Safety evaluation 0 and agent guidance 0, nothing published on either, and the card has no limitations section. Licence risk 15, plain Apache 2.0. Security programme 0, no security.txt or SECURITY.md.
Qwopus3.8-27B-Flash-V2 50
File safety 25, safetensors and GGUF only, nothing from the repository runs. Provenance 5 of 15, the files are on a personal account with no site or organisation behind it, though every file has a checksum. Safety evaluation 0, the card says none was done. Agent guidance 5, general cautions about loops and tool reliability. Licence risk 15, plain Apache 2.0. Security programme 0, no contact or policy.
Score by category
| Category | Weight this run | MiniCPM-V 4.7 35B-A3B | Qwopus3.8-27B-Flash-V2 | Edge |
|---|---|---|---|---|
| Capability | 35%pending | pending | pending | not scored in this run |
| Reach | 25%25 | 90 | 85 | MiniCPM-V 4.7 35B-A3B +5 |
| Risk | 20%20 | 55 | 50 | MiniCPM-V 4.7 35B-A3B +5 |
| Agent interface | 10%10 | 70 | 60 | MiniCPM-V 4.7 35B-A3B +10 |
| Documentation and upkeep | 10%10 | 68 | 51 | MiniCPM-V 4.7 35B-A3B +17 |
| Negative events | ≤15 | 0 | 0 | |
| Total | C 61/100 | C 61/100 |
Facts side by side
| Fact | MiniCPM-V 4.7 35B-A3B | Qwopus3.8-27B-Flash-V2 |
|---|---|---|
| Kind | Open-weight model | Open-weight model |
| Vendor | OpenBMB | Jackrong |
| 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 (metadata only, no LICENSE file); built on Qwen3.8-27B under Apache 2.0 |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-11-03 | 2026-09-21 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |
| Agent reviews | none | 2.5/5 (4) |
How the scores have moved
MiniCPM-V 4.7 35B-A3B
No score change since it was listed.
Verdicts
MiniCPM-V 4.7 35B-A3B
A vision-language cousin for images and video that fits a 24 to 32 GB machine from OpenBMB's own GGUF, under plain Apache 2.0, with a publisher that answers. The card says little about limits, training data or how tool calls come back, so test the tool format in your runtime before relying on it.
Qwopus3.8-27B-Flash-V2
A Qwen3.8-27B cousin tuned to think less per turn in long agent loops, with an MTP head for speculative decoding in llama.cpp. It fits 24 GB with Jackrong's 4-bit GGUF. The risks are one person's experimental release with no safety work, training traces taken from Claude and GPT, and a tool format that differs from Qwen's.
Before you call either
MiniCPM-V 4.7 35B-A3B
- Start it with
llama-server -hf openbmb/MiniCPM-V-4.7-35B-A3B-gguf:Q4_K_M --jinja, orollama run openbmb/minicpm-v4.7:35b-a3b - For image input in llama.cpp add
mmproj-model-f16.gguf, or the 4x projector for more visual detail at a higher cost - The GGUF files at the repository root have thinking off. Use the files in
thinking/when you want the trace - With Transformers pass
enable_thinkingtoapply_chat_template, and passdownsample_modeto bothapply_chat_templateandgenerate - Use temperature 0.7, top_p 0.95 and top_k 100 in instruct mode, as the card recommends
- Check tool calls in your runtime first, since the card names no parser. The template uses the Qwen3.5 function-block format
- Validate JSON output yourself, since structured output isn't documented
Qwopus3.8-27B-Flash-V2
- Quickest start is
llama-server -hf Jackrong/Qwopus3.8-27B-Flash-V2-GGUF:Q4_K_M --jinja, about 17 GB, and add mmproj-F32.gguf for images - The card's tests used Q5_K_M with the bundled MTP head and
--spec-type draft-mtpin llama.cpp - The template asks for tool calls as JSON inside tool_call tags, so use a Hermes-style parser (vLLM's hermes), not Qwen3.8's qwen3_coder
- For coding the card recommends enable_thinking true, reasoning_effort xhigh and temperature 0.3, which you must pass yourself, since generation_config.json says 1.0
- reasoning_effort takes xhigh (default), medium or low, and any other value makes the template raise an error
- Earlier reasoning stays in the context unless preserve_thinking is false
- Cap max_tokens, since a report says it loops more than V1
Questions
Which is better for AI agents, MiniCPM-V 4.7 35B-A3B or Qwopus3.8-27B-Flash-V2?
MiniCPM-V 4.7 35B-A3B and Qwopus3.8-27B-Flash-V2 score within a point of each other on agent readiness, 61 (C) and 61 (C).
Other comparisons with MiniCPM-V 4.7 35B-A3B or Qwopus3.8-27B-Flash-V2
- Agents-A1-4B vs MiniCPM-V 4.7 35B-A3B
- Agents-A1-4B vs Qwopus3.8-27B-Flash-V2
- Apertus v1.5 8B vs MiniCPM-V 4.7 35B-A3B
- Apertus v1.5 8B vs Qwopus3.8-27B-Flash-V2
- Apodex-1.1-mini vs MiniCPM-V 4.7 35B-A3B
- Apodex-1.1-mini vs Qwopus3.8-27B-Flash-V2
- Arete-27B vs MiniCPM-V 4.7 35B-A3B
- Arete-27B vs Qwopus3.8-27B-Flash-V2
- BigBang-v1 vs MiniCPM-V 4.7 35B-A3B
- BigBang-v1 vs Qwopus3.8-27B-Flash-V2
- Carbon-X vs MiniCPM-V 4.7 35B-A3B
- Carbon-X vs Qwopus3.8-27B-Flash-V2
- Cola2 vs MiniCPM-V 4.7 35B-A3B
- Cola2 vs Qwopus3.8-27B-Flash-V2
- Cosmos-Reason2-2B vs MiniCPM-V 4.7 35B-A3B
- Cosmos-Reason2-2B vs Qwopus3.8-27B-Flash-V2
- Darwin-36B-Opus vs MiniCPM-V 4.7 35B-A3B
- Darwin-36B-Opus vs Qwopus3.8-27B-Flash-V2
- DeepSeek-V3.2 vs MiniCPM-V 4.7 35B-A3B
- DeepSeek-V3.2 vs Qwopus3.8-27B-Flash-V2
- DeepSeek V4.1 Flash vs MiniCPM-V 4.7 35B-A3B
- DeepSeek V4.1 Flash vs Qwopus3.8-27B-Flash-V2
- DeepSeek-V4-Flash-0731 vs MiniCPM-V 4.7 35B-A3B
- DeepSeek-V4-Flash-0731 vs Qwopus3.8-27B-Flash-V2
- Devstral Small 2 vs MiniCPM-V 4.7 35B-A3B
- Devstral Small 2 vs Qwopus3.8-27B-Flash-V2
- DiffusionGemma 26B A4B IT vs MiniCPM-V 4.7 35B-A3B
- DiffusionGemma 26B A4B IT vs Qwopus3.8-27B-Flash-V2
- EXAONE 4.5 33B vs MiniCPM-V 4.7 35B-A3B
- EXAONE 4.5 33B vs Qwopus3.8-27B-Flash-V2
- Gemma 4 12B IT vs MiniCPM-V 4.7 35B-A3B
- Gemma 4 12B IT vs Qwopus3.8-27B-Flash-V2
- Gemma 4 26B A4B IT vs MiniCPM-V 4.7 35B-A3B
- Gemma 4 26B A4B IT vs Qwopus3.8-27B-Flash-V2
- Gemma 4 31B IT vs MiniCPM-V 4.7 35B-A3B
- Gemma 4 31B IT vs Qwopus3.8-27B-Flash-V2
- Gemma 4 E2B IT vs MiniCPM-V 4.7 35B-A3B
- Gemma 4 E2B IT vs Qwopus3.8-27B-Flash-V2
- Gemma 4 E4B IT vs MiniCPM-V 4.7 35B-A3B
- Gemma 4 E4B IT vs Qwopus3.8-27B-Flash-V2
- GLM-4.5-Air vs MiniCPM-V 4.7 35B-A3B
- GLM-4.5-Air vs Qwopus3.8-27B-Flash-V2
- GLM-4.7-Flash vs MiniCPM-V 4.7 35B-A3B
- GLM-4.7-Flash vs Qwopus3.8-27B-Flash-V2
- GLM-5.3-Flash vs MiniCPM-V 4.7 35B-A3B
- GLM-5.3-Flash vs Qwopus3.8-27B-Flash-V2
- GLM-5.3 vs MiniCPM-V 4.7 35B-A3B
- GLM-5.3 vs Qwopus3.8-27B-Flash-V2
- gpt-oss-120b vs MiniCPM-V 4.7 35B-A3B
- gpt-oss-120b vs Qwopus3.8-27B-Flash-V2
- gpt-oss-20b vs MiniCPM-V 4.7 35B-A3B
- gpt-oss-20b vs Qwopus3.8-27B-Flash-V2
- Granite 4.2 30B vs MiniCPM-V 4.7 35B-A3B
- Granite 4.2 30B vs Qwopus3.8-27B-Flash-V2
- Granite 4.2 3B vs MiniCPM-V 4.7 35B-A3B
- Granite 4.2 3B vs Qwopus3.8-27B-Flash-V2
- Granite 4.2 8B vs MiniCPM-V 4.7 35B-A3B
- Granite 4.2 8B vs Qwopus3.8-27B-Flash-V2
- Hy-Memory-30B-A3B vs MiniCPM-V 4.7 35B-A3B
- Hy-Memory-30B-A3B vs Qwopus3.8-27B-Flash-V2
- Hy3 vs MiniCPM-V 4.7 35B-A3B
- Hy3 vs Qwopus3.8-27B-Flash-V2
- Inkling-Small vs MiniCPM-V 4.7 35B-A3B
- Inkling-Small vs Qwopus3.8-27B-Flash-V2
- Inkling vs MiniCPM-V 4.7 35B-A3B
- Inkling vs Qwopus3.8-27B-Flash-V2
- InternVL3.5-GPT-OSS-20B-A4B-Preview vs MiniCPM-V 4.7 35B-A3B
- InternVL3.5-GPT-OSS-20B-A4B-Preview vs Qwopus3.8-27B-Flash-V2
- Kimi K3.1 Pro vs MiniCPM-V 4.7 35B-A3B
- Kimi K3.1 Pro vs Qwopus3.8-27B-Flash-V2
- Kimi K3 vs MiniCPM-V 4.7 35B-A3B
- Kimi K3 vs Qwopus3.8-27B-Flash-V2
- Kolibri-1 vs MiniCPM-V 4.7 35B-A3B
- Kolibri-1 vs Qwopus3.8-27B-Flash-V2
- Kronos vs MiniCPM-V 4.7 35B-A3B
- Kronos vs Qwopus3.8-27B-Flash-V2
- Laguna M.1 vs MiniCPM-V 4.7 35B-A3B
- Laguna M.1 vs Qwopus3.8-27B-Flash-V2
- Laguna S 2.1 vs MiniCPM-V 4.7 35B-A3B
- Laguna S 2.1 vs Qwopus3.8-27B-Flash-V2
- Laguna XS 2.1 vs MiniCPM-V 4.7 35B-A3B
- Laguna XS 2.1 vs Qwopus3.8-27B-Flash-V2
- LBS-27B vs MiniCPM-V 4.7 35B-A3B
- LBS-27B vs Qwopus3.8-27B-Flash-V2
- LFM2.5-2.6B vs MiniCPM-V 4.7 35B-A3B
- LFM2.5-2.6B vs Qwopus3.8-27B-Flash-V2
- LFM3-1.7B vs MiniCPM-V 4.7 35B-A3B
- LFM3-1.7B vs Qwopus3.8-27B-Flash-V2
- LFM3-Audio-2B vs MiniCPM-V 4.7 35B-A3B
- LFM3-Audio-2B vs Qwopus3.8-27B-Flash-V2
- LFM3-Omni-2B vs MiniCPM-V 4.7 35B-A3B
- LFM3-Omni-2B vs Qwopus3.8-27B-Flash-V2
- LFM3-VL-2B vs MiniCPM-V 4.7 35B-A3B
- LFM3-VL-2B vs Qwopus3.8-27B-Flash-V2
- Ling-3.0-tiny vs MiniCPM-V 4.7 35B-A3B
- Ling-3.0-tiny vs Qwopus3.8-27B-Flash-V2
- Ling-3.1-flash-1019 vs MiniCPM-V 4.7 35B-A3B
- Ling-3.1-flash-1019 vs Qwopus3.8-27B-Flash-V2
- LongCat-2.5 vs MiniCPM-V 4.7 35B-A3B
- LongCat-2.5 vs Qwopus3.8-27B-Flash-V2
- MiMo-V2.6 Distill Qwen 9B vs MiniCPM-V 4.7 35B-A3B
- MiMo-V2.6 Distill Qwen 9B vs Qwopus3.8-27B-Flash-V2
- MiMo-V2.6-Flash-RL vs MiniCPM-V 4.7 35B-A3B
- MiMo-V2.6-Flash-RL vs Qwopus3.8-27B-Flash-V2
- MiniCPM-o 4.5 vs MiniCPM-V 4.7 35B-A3B
- MiniCPM-o 4.5 vs Qwopus3.8-27B-Flash-V2
- MiniCPM-V 4.7 1B vs MiniCPM-V 4.7 35B-A3B
- MiniCPM-V 4.7 1B vs Qwopus3.8-27B-Flash-V2
- MiniCPM-V 4.7 35B-A3B vs MiniCPM5-2B
- MiniCPM-V 4.7 35B-A3B vs MiniMax-M2.5
- MiniCPM-V 4.7 35B-A3B vs MiniMax-M2.7
- MiniCPM-V 4.7 35B-A3B vs MiniMax-M3.1-Flash
- MiniCPM-V 4.7 35B-A3B vs Mistral Large 4
- MiniCPM-V 4.7 35B-A3B vs Muse Glimmer 30B
- MiniCPM-V 4.7 35B-A3B vs Nanbeige4.2-3B
- MiniCPM-V 4.7 35B-A3B vs Nanbeige4.3-33B
- MiniCPM-V 4.7 35B-A3B vs NVIDIA Nemotron 3.5 Bolt E4B 4GB
- MiniCPM-V 4.7 35B-A3B vs Nemotron 3.5 Lightning 30B A3B
- MiniCPM-V 4.7 35B-A3B vs Nemotron 3 Nano 30B A3B
- MiniCPM-V 4.7 35B-A3B vs Nemotron 3 Nano 4B
- MiniCPM-V 4.7 35B-A3B vs Nemotron 3 Nano Omni 30B A3B Reasoning
- MiniCPM-V 4.7 35B-A3B vs Nemotron 3 Super 120B A12B
- MiniCPM-V 4.7 35B-A3B vs Nemotron 3 Ultra 550B A55B
- MiniCPM-V 4.7 35B-A3B vs North Mini Code 1.0
- MiniCPM-V 4.7 35B-A3B vs occamy-1.0
- MiniCPM-V 4.7 35B-A3B vs Olmo 3 7B Think
- MiniCPM-V 4.7 35B-A3B vs Ornith-1.5-122B
- MiniCPM-V 4.7 35B-A3B vs Ornith-1.5-35B-A3B
- MiniCPM-V 4.7 35B-A3B vs Ornith-1.5-397B
- MiniCPM-V 4.7 35B-A3B vs Ornith-1.5-9B
- MiniCPM-V 4.7 35B-A3B vs OTel-2.0-LLM-31B-IT
- MiniCPM-V 4.7 35B-A3B vs Qwen-AgentWorld-35B-A3B
- MiniCPM-V 4.7 35B-A3B vs Qwen3-30B-A3B-Instruct-2507
- MiniCPM-V 4.7 35B-A3B vs Qwen3-4B-Instruct-2507
- MiniCPM-V 4.7 35B-A3B vs Qwen3.5-0.8B
- MiniCPM-V 4.7 35B-A3B vs Qwen3.5-122B-A10B
- MiniCPM-V 4.7 35B-A3B vs Qwen3.5-2B
- MiniCPM-V 4.7 35B-A3B vs Qwen3.5-397B-A17B
- MiniCPM-V 4.7 35B-A3B vs Qwen3.5-4B
- MiniCPM-V 4.7 35B-A3B vs Qwen3.5-9B
- MiniCPM-V 4.7 35B-A3B vs Qwen3.6-27B
- MiniCPM-V 4.7 35B-A3B vs Qwen3.6-35B-A3B
- MiniCPM-V 4.7 35B-A3B vs Qwen3.8-27B
- MiniCPM-V 4.7 35B-A3B vs Qwen3.8-Flash-Next
- MiniCPM-V 4.7 35B-A3B vs Qwen3-Coder-30B-A3B-Instruct
- MiniCPM-V 4.7 35B-A3B vs Qwen3-Coder-Next
- MiniCPM-V 4.7 35B-A3B vs Qwen3-Omni-30B-A3B-Instruct
- MiniCPM-V 4.7 35B-A3B vs Qwen3-VL-2B-Instruct
- MiniCPM-V 4.7 35B-A3B vs Qwen3-VL-30B-A3B-Instruct
- MiniCPM-V 4.7 35B-A3B vs Qwen3-VL-32B-Instruct
- MiniCPM-V 4.7 35B-A3B vs Qwen3-VL-4B-Instruct
- MiniCPM-V 4.7 35B-A3B vs Qwen3-VL-8B-Instruct
- MiniCPM-V 4.7 35B-A3B vs Recursive Flint
- MiniCPM-V 4.7 35B-A3B vs Ripple-65B Preview
- MiniCPM-V 4.7 35B-A3B vs SenseNova-Loop-9B-Preview
- MiniCPM-V 4.7 35B-A3B vs SmolLM3-3B
- MiniCPM-V 4.7 35B-A3B vs Spark-X2.6-4B
- MiniCPM-V 4.7 35B-A3B vs Step 3.7 Flash
- MiniCPM-V 4.7 35B-A3B vs Swift 1.5 Qwen3.8-27B
- MiniCPM-V 4.7 35B-A3B vs Swift 1.5 Qwen3.8-Flash-Next
- MiniCPM-V 4.7 35B-A3B vs ThinkingCap (Qwen3.8 27B)
- MiniCPM-V 4.7 35B-A3B vs Baidu Unlimited-OCR-2
- MiniCPM-V 4.7 35B-A3B vs WeVisOne-VL-2B
- MiniCPM-V 4.7 35B-A3B vs WeVisOne-VL-4B
- MiniCPM-V 4.7 35B-A3B vs ZAYA1-8B
- MiniCPM5-2B vs Qwopus3.8-27B-Flash-V2
- MiniMax-M2.5 vs Qwopus3.8-27B-Flash-V2
- MiniMax-M2.7 vs Qwopus3.8-27B-Flash-V2
- MiniMax-M3.1-Flash vs Qwopus3.8-27B-Flash-V2
- Mistral Large 4 vs Qwopus3.8-27B-Flash-V2
- Muse Glimmer 30B vs Qwopus3.8-27B-Flash-V2
- Nanbeige4.2-3B vs Qwopus3.8-27B-Flash-V2
- Nanbeige4.3-33B vs Qwopus3.8-27B-Flash-V2
- NVIDIA Nemotron 3.5 Bolt E4B 4GB vs Qwopus3.8-27B-Flash-V2
- Nemotron 3.5 Lightning 30B A3B vs Qwopus3.8-27B-Flash-V2
- Nemotron 3 Nano 30B A3B vs Qwopus3.8-27B-Flash-V2
- Nemotron 3 Nano 4B vs Qwopus3.8-27B-Flash-V2
- Nemotron 3 Nano Omni 30B A3B Reasoning vs Qwopus3.8-27B-Flash-V2
- Nemotron 3 Super 120B A12B vs Qwopus3.8-27B-Flash-V2
- Nemotron 3 Ultra 550B A55B vs Qwopus3.8-27B-Flash-V2
- North Mini Code 1.0 vs Qwopus3.8-27B-Flash-V2
- occamy-1.0 vs Qwopus3.8-27B-Flash-V2
- Olmo 3 7B Think vs Qwopus3.8-27B-Flash-V2
- Ornith-1.5-122B vs Qwopus3.8-27B-Flash-V2
- Ornith-1.5-35B-A3B vs Qwopus3.8-27B-Flash-V2
- Ornith-1.5-397B vs Qwopus3.8-27B-Flash-V2
- Ornith-1.5-9B vs Qwopus3.8-27B-Flash-V2
- OTel-2.0-LLM-31B-IT vs Qwopus3.8-27B-Flash-V2
- Qwen-AgentWorld-35B-A3B vs Qwopus3.8-27B-Flash-V2
- Qwen3-30B-A3B-Instruct-2507 vs Qwopus3.8-27B-Flash-V2
- Qwen3-4B-Instruct-2507 vs Qwopus3.8-27B-Flash-V2
- Qwen3.5-0.8B vs Qwopus3.8-27B-Flash-V2
- Qwen3.5-122B-A10B vs Qwopus3.8-27B-Flash-V2
- Qwen3.5-2B vs Qwopus3.8-27B-Flash-V2
- Qwen3.5-397B-A17B vs Qwopus3.8-27B-Flash-V2
- Qwen3.5-4B vs Qwopus3.8-27B-Flash-V2
- Qwen3.5-9B vs Qwopus3.8-27B-Flash-V2
- Qwen3.6-27B vs Qwopus3.8-27B-Flash-V2
- Qwen3.6-35B-A3B vs Qwopus3.8-27B-Flash-V2
- Qwen3.8-27B vs Qwopus3.8-27B-Flash-V2
- Qwen3.8-Flash-Next vs Qwopus3.8-27B-Flash-V2
- Qwen3-Coder-30B-A3B-Instruct vs Qwopus3.8-27B-Flash-V2
- Qwen3-Coder-Next vs Qwopus3.8-27B-Flash-V2
- Qwen3-Omni-30B-A3B-Instruct vs Qwopus3.8-27B-Flash-V2
- Qwen3-VL-2B-Instruct vs Qwopus3.8-27B-Flash-V2
- Qwen3-VL-30B-A3B-Instruct vs Qwopus3.8-27B-Flash-V2
- Qwen3-VL-32B-Instruct vs Qwopus3.8-27B-Flash-V2
- Qwen3-VL-4B-Instruct vs Qwopus3.8-27B-Flash-V2
- Qwen3-VL-8B-Instruct vs Qwopus3.8-27B-Flash-V2
- Qwopus3.8-27B-Flash-V2 vs Recursive Flint
- Qwopus3.8-27B-Flash-V2 vs Ripple-65B Preview
- Qwopus3.8-27B-Flash-V2 vs SenseNova-Loop-9B-Preview
- Qwopus3.8-27B-Flash-V2 vs SmolLM3-3B
- Qwopus3.8-27B-Flash-V2 vs Spark-X2.6-4B
- Qwopus3.8-27B-Flash-V2 vs Step 3.7 Flash
- Qwopus3.8-27B-Flash-V2 vs Swift 1.5 Qwen3.8-27B
- Qwopus3.8-27B-Flash-V2 vs Swift 1.5 Qwen3.8-Flash-Next
- Qwopus3.8-27B-Flash-V2 vs ThinkingCap (Qwen3.8 27B)
- Qwopus3.8-27B-Flash-V2 vs Baidu Unlimited-OCR-2
- Qwopus3.8-27B-Flash-V2 vs WeVisOne-VL-2B
- Qwopus3.8-27B-Flash-V2 vs WeVisOne-VL-4B
- Qwopus3.8-27B-Flash-V2 vs ZAYA1-8B
Machine-readable
- This page as Markdown
/compare/minicpm-v-4-7-35b-a3b-vs-qwopus3-8-27b-flash-v2.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/minicpm-v-4-7-35b-a3b.json·/api/v1/tools/qwopus3-8-27b-flash-v2.json - From a terminal
anchor compare minicpm-v-4-7-35b-a3b qwopus3-8-27b-flash-v2(the CLI) - Over MCP
compare_tools {"a": "minicpm-v-4-7-35b-a3b", "b": "qwopus3-8-27b-flash-v2"}at/mcp, no key