What Is MiniMax M3-Pro? The ~3T-Parameter M-Series Flagship

Inside MiniMax M3-Pro: The ~3T-Parameter Flagship Built for Long-Horizon Tasks

MiniMax M3-Pro is the next flagship large language model in MiniMax's M-series. MiniMax previewed it on its August 26, 2026 interim earnings call, citing an expected scale of around 3 trillion parameters and expanded reinforcement learning for long-horizon tasks. As of October 21, 2026, it has not been officially released. There are no public weights, no API model ID, no pricing, and no benchmarks yet. M3-Pro is the planned successor to MiniMax M3, a 428B-total, ~23B-active Mixture-of-Experts model whose open weights came out on June 2, 2026.

Key Takeaways

• MiniMax confirmed M3-Pro on its August 26, 2026 earnings call. The expected parameter scale is around 3 trillion (3T).
• Earlier media reports put the size at 2.7 trillion parameters. MiniMax's ~3T figure is the newer one.
• The confirmed training focus is expanded reinforcement learning and Long-Horizon Task Training.
• MiniMax has not disclosed the architecture, the active parameter count, the context window, pricing, the license, or a release date.
• A third-party tracker found on October 5, 2026 that M3-Pro was not on Hugging Face or in MiniMax's API model list.
• Whether it gets an open-weight release is the biggest open question. It depends partly on Chinese policy decisions outside MiniMax's control.

What Is MiniMax M3-Pro?

MiniMax M3-Pro is a text-generation foundation model under development at MiniMax, the Shanghai-based AI company listed in Hong Kong. MiniMax writes the name "M3 Pro". Search queries and social posts often use "M3-Pro". It sits above MiniMax M3 in the M-series, MiniMax's line of language models. The H-series covers video generation.

MiniMax M3-Pro is MiniMax's next M-series flagship, previewed at roughly 3 trillion parameters and not yet publicly released.

Here is how the public record developed:

• July 2026: Media reports, first attributed to The Information, described a 2.7T-parameter MiniMax model planned for open-weight release, "possibly as early as Q3 2026." MiniMax did not confirm the name, size, or date at the time.
• July 22, 2026: A Chinese industry analysis listed MiniMax's "next-generation M3 Pro with 2.7 trillion parameters" as "on track for release." It appeared alongside Alibaba's 2.4T-parameter Qwen3.8 and Moonshot's 2.8T-parameter Kimi K3.
• August 26, 2026: On the interim earnings call, MiniMax said M3-Pro's scale is expected to reach around 3T. CEO Yan Junjie said the company would speed up R&D and release cycles for the M-series and H-series.
• October 2026: Posts on X put M3-Pro on watchlists of upcoming Chinese releases. Examples include @cheatyyyy's "MiniMax M3-Pro soon" and @ItsmeAjayKV's "another pro model soon". Neither post includes evidence.

The Q3 2026 target passed without a launch. David Hendrickson's tracker listed "MiniMax M3 Pro ❌" (not released) in its final September 2026 list. His October 2026 list carried it over as anticipated.

MiniMax M3-Pro at a Glance

Attribute	MiniMax M3-Pro
Developer	MiniMax
Type	Large language model (M-series flagship)
Total parameters	~3 trillion expected (MiniMax, Aug 26, 2026); 2.7T in earlier media reports
Active parameters	Not yet confirmed
Architecture (dense vs MoE)	Not yet confirmed
Modality	Not yet confirmed (M3 is natively multimodal)
Context window	Not yet confirmed (M3: 1,000,000 tokens)
Training focus	Expanded reinforcement learning, Long-Horizon Task Training
Pricing	Not yet confirmed
License	Not yet confirmed (M3 uses the minimax-community license)
Availability	Not released as of Oct 21, 2026
Release date	Not yet confirmed

How MiniMax M3-Pro Works and What Makes It Different

MiniMax has shared a direction, not a design. Four elements are known, at different levels of confidence.

Trillion-Parameter Scale. At ~3T parameters, M3-Pro would be roughly 7 times the size of the 428B-parameter MiniMax M3. Total parameters set a capacity ceiling. Speed and cost depend on how many parameters are active per token. M3 activates only ~23B of its 428B, which is why it is cheap to serve. MiniMax has not said whether M3-Pro uses a Mixture-of-Experts design, so serving cost cannot be estimated yet.

Long-Horizon Task Training. This is the confirmed training change. MiniMax said it would "further expand reinforcement learning and long-horizon task training" to improve generalization and the model's intelligence ceiling. In practice, that targets multi-step agent work: tool calls, planning, and finishing tasks over long sessions.

MiniMax Sparse Attention. M3 is built on MiniMax Sparse Attention, described in the arXiv paper 2606.13392 (submitted June 11, 2026). Some commentators expect M3-Pro to scale that architecture. MiniMax has not confirmed this, so treat it as unconfirmed.

Domestic Compute Clusters. MiniMax is adapting M3 and its H3 video model to domestic Chinese chips. It says large domestic computing clusters "will soon go live" and take over production traffic. MiniMax has not said whether M3-Pro will be trained or served on that hardware.

Until MiniMax publishes active parameters and pricing, the 3T figure describes capacity, not cost or quality.

What You Can Do With MiniMax M3-Pro

Nobody can use M3-Pro yet, and no hands-on tests exist. Its likely use cases come from MiniMax's stated training goals and from how developers use M3 today.

• Long-running agents. Long-Horizon Task Training points to coding agents, ticket triage, and multi-tool workflows. These are exactly the tasks where M3 gets mixed reviews.
• Agentic coding and web UI work. In a r/MiniMax_AI thread on M3, one user calls M3 "way better" than some GPT-5.6 variants at web UI design. Another reports M3 hallucinating Linear tickets that DeepSeek V4 Flash handled correctly. M3-Pro's RL push looks aimed at that reliability gap.
• Self-hosted frontier workloads. If the weights are released openly, teams could host the model themselves for data residency and fine-tuning. A model of this size needs multi-GPU servers at minimum, even with sparse activation.

How MiniMax M3-Pro Compares

Model	Total parameters	Status (Oct 21, 2026)	Notable published data
MiniMax M3-Pro	~3T expected	Not released	None published
MiniMax M3	428B (~23B active)	Released Jun 2, 2026, open weights	1M-token context; $0.30 / $1.20 per 1M tokens
Kimi K3 (Moonshot AI)	2.8T	Released July 2026	Arena front-end code score of 1679 on release day
Qwen3.8 (Alibaba)	2.4T	Preview announced Jul 19, 2026	Open-source release announced

If its final count lands near 3 trillion, MiniMax M3-Pro would edge past Kimi K3's 2.8 trillion parameters, the largest open-weight model on record. That ranking only holds if MiniMax actually releases the weights. For background on how Moonshot's line is developing, see the site's explainer on Kimi K3.1.

Availability: How to Access MiniMax M3-Pro

You cannot access MiniMax M3-Pro today. When it launches, the official channels to check are:

• MiniMax API. Look in MiniMax's API model list and model documentation.
• MiniMax subscriptions. Check the M Plan and MiniMax Code. MiniMax-M3.1-Flash-Preview appeared there first: API-only, subscription-only, with no open weights and no pay-as-you-go price.
• Hugging Face. Watch the official MiniMaxAI organization for weights. M3's repository was created on June 2, 2026, one day after the announcement.

That M3.1 rollout suggests M3-Pro could also arrive quietly, as a subscription-gated preview, before any open-weight drop. This is an inference, not a confirmed plan.

If you need a trillion-parameter-class Chinese model in production now, Moonshot's Kimi K3 is already available via API. It is the closest released option in scale.

What We Don't Know Yet

• Active parameters and architecture. Without these, nobody can estimate inference cost, throughput, or hardware needs.
• Benchmarks. MiniMax has published no standard evaluations or Arena scores.
• Context window and modality. M3's 1,000,000-token context and native multimodality may or may not carry over.
• License and open weights. Earlier reports promised an open release. An unverified, Hebrew-language post from @mati_h on October 17, 2026 describes a draft Chinese export-control amendment. It would restrict models above 10^26 FLOPs, above 2 trillion parameters, or ranked in the global top 10. If that Export-Control Threshold is real and adopted, a ~3T M3-Pro would exceed it. Nobody has corroborated the post.
• Release date. A watchlist post on October 8, 2026 expected it "over the next month." A low-reach post on October 17 claimed an end-of-October release. Neither is verified.

Frequently Asked Questions

Is MiniMax M3-Pro released?

No. As of October 21, 2026, MiniMax M3-Pro has not been officially released. MiniMax previewed it on its August 26, 2026 earnings call, but no weights, API model ID, or launch date have been published.

How many parameters does MiniMax M3-Pro have?

MiniMax expects M3-Pro to have around 3 trillion parameters, according to its August 26, 2026 earnings call. Earlier media reports put the figure at 2.7 trillion. MiniMax has not disclosed the architecture or the number of active parameters.

Is MiniMax M3-Pro open source?

MiniMax has not confirmed whether M3-Pro will ship with open weights. Earlier media reports said it would be released openly, but those reports were tied to Chinese policy discussions on open-source AI. Unverified posts on X also say proposed Chinese export rules could block an open release.

How much does MiniMax M3-Pro cost?

MiniMax has not published pricing for M3-Pro. For comparison, MiniMax M3 costs $0.30 per million input tokens and $1.20 per million output tokens for prompts up to 512K tokens.

When is the MiniMax M3-Pro release date?

MiniMax has not announced a release date for M3-Pro. Earlier reports pointed to Q3 2026, and that window passed without a launch. Unverified posts on X in October 2026 point to a release around the end of that month.

What is the difference between MiniMax M3-Pro and MiniMax M3?

MiniMax M3-Pro is the planned, much larger successor to M3. M3 is a 428B-total, ~23B-active Mixture-of-Experts model with a 1M-token context window and open weights released June 2, 2026. At around 3 trillion parameters, M3-Pro would be roughly 7 times larger, but its context window, modalities, and license are unconfirmed.

How does MiniMax M3-Pro compare to Kimi K3?

MiniMax M3-Pro cannot be benchmarked against Kimi K3 yet because it has not been released. On size, M3-Pro's expected ~3 trillion parameters would be slightly above Kimi K3's 2.8 trillion. Kimi K3 scored 1679 on Arena's front-end code blind test on its release day.

What to Watch Next

Three signals will settle most open questions. The first is a MiniMax-M3-Pro entry in MiniMax's API model list, which would bring a model ID and pricing. The second is a repository under the MiniMaxAI Hugging Face organization, which would answer the open-weight question. The third is official text of any Chinese export-control amendment that sets a 2-trillion-parameter limit. Related Chinese releases are worth tracking too; the site's DeepSeek V4.1 Pro deep dive shows how early-access signals have preceded recent launches. This page will be updated in place as facts are confirmed.

Try related models on Kie.ai: DeepSeek-V4.1-Flash, Claude Opus 5.5 and Gemini 4 Argon.