Home/Compare/litgpt vs MiniMax-01

Comparison

litgpt vs MiniMax-01

Verdict

Pick litgpt if litgpt offers a suite of over 20 high-performance large language models, with tools for pretraining, finetuning, and deployment at scale, all under the Apache-2.0 license; pick MiniMax-01 if miniMax-01 optimizes Linear Attention for large-language and vision-language models.

Markdown twin · litgpt alternatives · MiniMax-01 alternatives

GraphCanon updated Sep 20, 2026

16views this month

litgpt logo

litgpt

Lightning-AI/litgpt

★ 14kpushed Sep 14, 2026
vs
MiniMax-01 logo

MiniMax-01

MiniMax-AI/MiniMax-01

★ 3.5kpushed Jul 7, 2025

Trust & integrity

SignallitgptMiniMax-01
Maintenance
Very active (3d since push)
As of Sep 18, 2026 · github_public_v1
Dormant (406d since push)
As of Aug 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Aug 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · 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

litgpt
High-performance LLMs for pretraining, finetuning, and deployment
MiniMax-01
Repository for MiniMax-Text-01 and MiniMax-VL-01 models based on Linear Attention

Stars

litgpt
14k
MiniMax-01
3.5k

Forks

litgpt
1.5k
MiniMax-01
332

Open issues

litgpt
290
MiniMax-01
8

Language

litgpt
Python
MiniMax-01
Python

Adopt for

litgpt
litgpt offers a suite of over 20 high-performance large language models, with tools for pretraining, finetuning, and deployment at scale, all under the Apache-2.0 license.
MiniMax-01
MiniMax-01 optimizes Linear Attention for large-language and vision-language models.

Persona

litgpt
-
MiniMax-01
-

Runtime

litgpt
-
MiniMax-01
-

License

litgpt
Apache-2.0
MiniMax-01
MIT

Last pushed

litgpt
Sep 14, 2026
MiniMax-01
Jul 7, 2025

Categories

litgpt
Inference & Serving, LLM Frameworks, Model Training
MiniMax-01
LLM Frameworks, Model Training

Trust and health

Maintenance

litgpt
Very active (96%)
MiniMax-01
Dormant (18%)

Days since push

litgpt
3d
MiniMax-01
406d

Open issues (now)

litgpt
290
MiniMax-01
8

Stars delta

litgpt
+62 (30d)
MiniMax-01
+17 (30d)

Open issues delta

litgpt
+18 (30d)
MiniMax-01
0 (30d)

Full report

MiniMax-01
Trust report

Choose litgpt if…

  • License: litgpt is Apache-2.0, MiniMax-01 is MIT.
  • Tags unique to litgpt: ai, artificial-intelligence, deep-learning, llm-inference.
  • Also covers Inference & Serving.
  • When you need a comprehensive set of over 20 high-performance LLMs for pretraining, finetuning, and deployment.

When NOT to use litgpt

  • If you are looking for a tool that supports languages other than Python, as litgpt is exclusively Python-based.
  • When you need a tool that offers fewer model options, as litgpt provides over 20 models which might be overwhelming for specific use cases.
  • If you require proprietary licensing, as litgpt is open-source under the Apache-2.0 license.

Choose MiniMax-01 if…

  • License: MiniMax-01 is MIT, litgpt is Apache-2.0.
  • Tags unique to MiniMax-01: vision-language-model, vlm.
  • When high throughput performance is required for model serving

When NOT to use MiniMax-01

  • If deep customization of attention mechanisms aside from Linear Attention is needed
  • In favor of frameworks lacking vLLM's optimization features, when efficiency or memory use are secondary to flexibility

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: litgpt 14k · MiniMax-01 3.5k (synced Sep 20, 2026).

Common questions

What is the difference between litgpt and MiniMax-01?
litgpt: High-performance LLMs for pretraining, finetuning, and deployment. MiniMax-01: Repository for MiniMax-Text-01 and MiniMax-VL-01 models based on Linear Attention. See the comparison table for live GitHub stats and shared categories.
When should I choose litgpt over MiniMax-01?
Choose litgpt over MiniMax-01 when License: litgpt is Apache-2.0, MiniMax-01 is MIT; Tags unique to litgpt: ai, artificial-intelligence, deep-learning, llm-inference; Also covers Inference & Serving; When you need a comprehensive set of over 20 high-performance LLMs for pretraining, finetuning, and deployment.
When should I choose MiniMax-01 over litgpt?
Choose MiniMax-01 over litgpt when License: MiniMax-01 is MIT, litgpt is Apache-2.0; Tags unique to MiniMax-01: vision-language-model, vlm; When high throughput performance is required for model serving.
When should I avoid litgpt?
If you are looking for a tool that supports languages other than Python, as litgpt is exclusively Python-based. When you need a tool that offers fewer model options, as litgpt provides over 20 models which might be overwhelming for specific use cases. If you require proprietary licensing, as litgpt is open-source under the Apache-2.0 license.
When should I avoid MiniMax-01?
If deep customization of attention mechanisms aside from Linear Attention is needed In favor of frameworks lacking vLLM's optimization features, when efficiency or memory use are secondary to flexibility
Is litgpt or MiniMax-01 more popular on GitHub?
litgpt has more GitHub stars (13,667 vs 3,463). Stars measure visibility, not whether either tool fits your constraints.
Are litgpt and MiniMax-01 open source?
Yes - both are open-source projects on GitHub (litgpt: Apache-2.0, MiniMax-01: MIT).
Where can I find alternatives to litgpt or MiniMax-01?
GraphCanon lists graph-backed alternatives at litgpt alternatives and MiniMax-01 alternatives (litgpt markdown twin, MiniMax-01 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, litgpt or MiniMax-01?
litgpt: Very active. MiniMax-01: Dormant. 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 litgpt and MiniMax-01?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: litgpt trust report; MiniMax-01 trust report.

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