Comparison
MiniMax-M1 vs Qwen
Verdict
Coexists - Both models serve to advance the field of open-weight large scale reasoning models.
Markdown twin · MiniMax-M1 alternatives · Qwen alternatives
GraphCanon updated 5d
Trust & integrity
| Signal | MiniMax-M1 | Qwen |
|---|---|---|
| Maintenance | Dormant (406d since push) As of 5d · github_public_v1 | Slowing (164d since push) As of 6d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 5d · github_public_v1 | Not a fork · Organization account As of 6d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- MiniMax-M1
- Open-weight large-scale hybrid-attention reasoning model
- Qwen
- Official repo of Qwen, a large language model by Alibaba Cloud
Stars
- MiniMax-M1
- 3.2k
- Qwen
- 22k
Forks
- MiniMax-M1
- 283
- Qwen
- 1.9k
Open issues
- MiniMax-M1
- 31
- Qwen
- 44
Language
- MiniMax-M1
- Python
- Qwen
- Python
Adopt for
- MiniMax-M1
- MiniMax-M1 stands out for its open-access nature and hybrid-attention mechanisms that promise efficient inference capabilities.
- Qwen
- Qwen is a large language model by Alibaba Cloud with support for Chinese and advanced features like flash-attention.
Persona
- MiniMax-M1
- -
- Qwen
- -
Runtime
- MiniMax-M1
- -
- Qwen
- -
License
- MiniMax-M1
- Apache-2.0
- Qwen
- Apache-2.0
Last pushed
- MiniMax-M1
- Jul 7, 2025
- Qwen
- Mar 5, 2026
Categories
- MiniMax-M1
- Inference & Serving, LLM Frameworks
- Qwen
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- MiniMax-M1
- Dormant (18%)
- Qwen
- Slowing (36%)
Days since push
- MiniMax-M1
- 406d
- Qwen
- 164d
Open issues (now)
- MiniMax-M1
- 31
- Qwen
- 44
Stars delta
- MiniMax-M1
- +12 (30d)
- Qwen
- +153 (30d)
Open issues delta
- MiniMax-M1
- 0 (30d)
- Qwen
- +1 (30d)
OSV dependency advisories
- MiniMax-M1
- No lockfile (source not queried)
- Qwen
- Published findings
Full report
- MiniMax-M1
- Trust report
- Qwen
- Trust report
Typed relationship
MiniMax-M1 successor QwenBoth MiniMax-M1 and Qwen are large language models with Chinese focus, but as newer developments in AI, they may build on or compete with each other.Coexists - Both models serve to advance the field of open-weight large scale reasoning models.
Choose MiniMax-M1 if…
- Pricing: Free to use under Apache-2.0 license, cost considerations will mainly stem from computing resources when deploying..
- Requirements: Min 64 GB RAM; Requires Docker; Deployment is recommended using vLLM for optimal performance and efficient processing.; Transformers can also be used directly for deployment, offering an alternative way to integrate MiniMax-M1..
- Both MiniMax-M1 and Qwen are large language models with Chinese focus, but as newer developments in AI, they may build on or compete with each other.
- Tags unique to MiniMax-M1: minimax-m1, reasoning-models.
- When your project requires an open-weight model with flexible access to weights, allowing you to customize the model without any restrictions.
When NOT to use MiniMax-M1
- In scenarios where strict proprietary controls over model weights are necessary, as MiniMax-M1's open-access nature might not comply with such stringent requirements.
- If your project focuses on lightweight inference without the need for large-scale hybrid-attention mechanisms; smaller models might offer more efficient deployment options.
Choose Qwen if…
- Requirements: Python 3.8+; PyTorch 1.12+; Transformers 4.32+; CUDA 11.4+ (GPU users).
- Both MiniMax-M1 and Qwen are large language models with Chinese focus, but as newer developments in AI, they may build on or compete with each other.
- Tags unique to Qwen: chinese, flash-attention, natural-language-processing, pretrained-models.
- If you are working with extensive Chinese text data, Qwen offers specialized capabilities that might not be found in other generic LLMs.
When NOT to use Qwen
- If your project strictly requires a specific type of licensing, Qwen operates under the Apache-2.0 License with additional license agreements that may differ from general expectations and could pose a
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (MiniMax-AI/MiniMax-M1) · observed Aug 18, 2026
- GitHub forks (MiniMax-AI/MiniMax-M1) · observed Aug 18, 2026
- Last push (MiniMax-AI/MiniMax-M1) · observed Jul 7, 2025
- License file (Apache-2.0) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (QwenLM/Qwen) · observed Aug 17, 2026
- GitHub forks (QwenLM/Qwen) · observed Aug 17, 2026
- Last push (QwenLM/Qwen) · observed Mar 5, 2026
- License file (Apache-2.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: MiniMax-M1 3.2k · Qwen 22k (synced Aug 18, 2026).
Common questions
- What is the difference between MiniMax-M1 and Qwen?
- MiniMax-M1: Open-weight large-scale hybrid-attention reasoning model. Qwen: Official repo of Qwen, a large language model by Alibaba Cloud. See the comparison table for live GitHub stats and shared categories.
- When should I choose MiniMax-M1 over Qwen?
- Choose MiniMax-M1 over Qwen when Pricing: Free to use under Apache-2.0 license, cost considerations will mainly stem from computing resources when deploying.; Requirements: Min 64 GB RAM; Requires Docker; Deployment is recommended using vLLM for optimal performance and efficient processing.; Transformers can also be used directly for deployment, offering an alternative way to integrate MiniMax-M1.; Both MiniMax-M1 and Qwen are large language models with Chinese focus, but as newer developments in AI, they may build on or compete with each other; Tags unique to MiniMax-M1: minimax-m1, reasoning-models; When your project requires an open-weight model with flexible access to weights, allowing you to customize the model without any restrictions.
- When should I choose Qwen over MiniMax-M1?
- Choose Qwen over MiniMax-M1 when Requirements: Python 3.8+; PyTorch 1.12+; Transformers 4.32+; CUDA 11.4+ (GPU users); Both MiniMax-M1 and Qwen are large language models with Chinese focus, but as newer developments in AI, they may build on or compete with each other; Tags unique to Qwen: chinese, flash-attention, natural-language-processing, pretrained-models; If you are working with extensive Chinese text data, Qwen offers specialized capabilities that might not be found in other generic LLMs.
- When should I avoid MiniMax-M1?
- In scenarios where strict proprietary controls over model weights are necessary, as MiniMax-M1's open-access nature might not comply with such stringent requirements. If your project focuses on lightweight inference without the need for large-scale hybrid-attention mechanisms; smaller models might offer more efficient deployment options.
- When should I avoid Qwen?
- If your project strictly requires a specific type of licensing, Qwen operates under the Apache-2.0 License with additional license agreements that may differ from general expectations and could pose a
- Is MiniMax-M1 or Qwen more popular on GitHub?
- Qwen has more GitHub stars (21,595 vs 3,172). Stars measure visibility, not whether either tool fits your constraints.
- Are MiniMax-M1 and Qwen open source?
- Yes - both are open-source projects on GitHub (MiniMax-M1: Apache-2.0, Qwen: Apache-2.0).
- Where can I find alternatives to MiniMax-M1 or Qwen?
- GraphCanon lists graph-backed alternatives at MiniMax-M1 alternatives and Qwen alternatives (MiniMax-M1 markdown twin, Qwen markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, MiniMax-M1 or Qwen?
- MiniMax-M1: Dormant. Qwen: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for MiniMax-M1 and Qwen?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: MiniMax-M1 trust report; Qwen trust report.