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MiniMax

MiniMax M3

MiniMax M3 was released on June 1, 2026 as MiniMax's flagship for coding, agents and native image/video understanding. Its MiniMax Sparse Attention architecture supports up to a 1M-token API context window with a guaranteed minimum of 512K. MiniMax reports that at 1M context its per-token compute is 1/20 of the previous generation, with more than 9x faster prefill and 15x faster decoding. The API uses the MiniMax-M3 model identifier, supports thinking and non-thinking modes at the same price, applies a higher long-context rate above 512K input tokens, and offers an optional priority service tier for SLA-sensitive workloads. MiniMax calls M3 open-weight, but the checked model page also says full Hugging Face and GitHub publication is coming soon, so current weight availability should be verified separately.

Globally availableFull English UIPublic APIFreemium

Editorial verdict

Best for

Developers evaluating a China-origin frontier model for coding, long-context agentic work and multimodal reasoning.

Avoid if

Avoid it if you need fixed public pricing or a model with fully stable commercial terms already locked in.

Why it matters

M3 should be tracked separately because the official homepage now gives it a distinct model page and positions it as the current frontier coding model.

Trust: 3/3 sources verified, recently checkedCoverage: 100/100

Pricing

API & Token Plan access; current pricing should be checked in account

Payment

API & Token Plan, Pay-as-you-go API billing, Enterprise sales

Commercial use

Commercial use should follow the current product, API, model license and billing terms.

Privacy

Review prompt, file, media upload, retention and training-use terms before sensitive workloads.

Use-case fit

Frontier coding evaluation

Strong

Evaluate repository repair, terminal execution, kernel optimization and MCP tool use, while reproducing vendor benchmark settings independently.

Long-context agent workflows

Strong

The 1M context window makes it relevant for large codebases, long documents and multi-step agent tasks.

Multimodal reasoning

Strong

Use native image and video input for document understanding, visual coding tasks and computer-use agents.

Long-horizon autonomous work

Medium

The release reports 12-hour paper reproduction and 24-hour CUDA optimization runs; validate cost, reliability and recovery behavior on your own tasks.

Global user checklist

RegistrationPartialThe homepage exposes API and Token Plan flows, but the exact account path should be rechecked in the target region.
English UIConfirmedThe homepage, model page and report page are English-facing.
API and docsConfirmedDocs expose the MiniMax-M3 identifier and chatcompletion_v2 endpoint, up to 1M context with a guaranteed 512K minimum, thinking-mode selection, the 512K pricing boundary and standard versus priority service tiers.
International paymentPartialAPI and Token Plan access are public, but live prices and quotas should supersede the release-article snapshot.
Commercial usePartialProduction users should verify model-weight licensing, API terms, priority-tier access and multimodal data handling.

Rechecked the official model page on June 21, 2026. The release article is a dated product snapshot, the live Token Plan can change quotas, and the model page still describes full Hugging Face and GitHub publication as coming soon. Recheck current prices, quotas, weights and priority-tier availability before rollout.

Pros

  • - Vendor-reported scores include 59.0% on SWE-Bench Pro, 66.0% on Terminal-Bench 2.1 and 74.2% on MCP Atlas
  • - API context is documented at up to 1M tokens with a guaranteed minimum of 512K
  • - Native image and video understanding includes computer-use scenarios
  • - Thinking and non-thinking modes can be selected per API request
  • - Vendor reports an 83.5 BrowseComp score and long-horizon autonomous runs lasting 12 to 24 hours

Cons

  • - Most comparative scores and real-world demonstrations are vendor-run and need independent reproduction
  • - Inputs above 512K tokens use a higher long-context API rate
  • - The priority service tier requires sales access at the time of the release article
  • - The model page says full Hugging Face and GitHub open-source publication is still coming soon, despite also calling M3 open-weight

Decision paths

minimax-api

qwen

deepseek

zhipu-glm

kimi

Sources

MiniMax M3 model page

official · en · verified 2026-08-04

Confirms coding and agent positioning, guaranteed 512K and maximum 1M API context, native multimodality, BrowseComp score, long-horizon demonstrations, API identifier and pending full open-source publication.

MiniMax M3 report

official · en · verified 2026-06-10

Documents the June 1 release, MSA efficiency, benchmark methodology, real-world agent runs, API modes and access routes.

MiniMax homepage

official · en · verified 2026-06-01

Shows M3 alongside Hailuo 2.3, Speech 2.8 and Music 2.6 on the public homepage.

Last checked: 2026-08-04

Reviews

Availability snapshot

Availability
available
English UI
full
API
available
Rating
4.6 (0)

Latest updates

Latest changes
Pricing · 2026-08-04

MiniMax multimodal API pricing refreshed

MiniMax's live API pricing lists permanently discounted M3 rates for context up to 512K at $0.30/M input, $1.20/M output and $0.06/M cache-read tokens; 512K-1M costs $0.60, $2.40 and $0.12, with access above 512K currently limited. M2.7 costs $0.30/M multimodal input and $1.20/M output, while Highspeed costs $0.60 and $2.40. Hailuo 2.3 starts at $0.28 per 768P six-second video, Speech 2.8 Turbo at $60/M characters, rapid voice cloning at $1.50 per voice, voice design at $3 per voice, and Music 2.6 at $0.15 per song with a free-trial label.

Release · 2026-06-30

OpenRouter Owl Alpha added

OpenRouter's Owl Alpha is now tracked as a free text model for agentic coding, tool use, automated workflows and complex instruction execution. The live model API lists a 1,048,756-token context window, up to 262,144 output tokens, native tools and structured outputs, zero input and output token prices, and one Stealth INT8 provider route. OpenRouter says it works with Claude Code and OpenClaw, but also warns that the provider may log prompts and completions and use them for model improvement. The underlying model identity and license remain undisclosed, so the profile treats it as a non-sensitive Alpha evaluation route rather than a production-safe default.

Open source · 2026-06-26

DeepReinforce Ornith 1.0 open coding models added

DeepReinforce's Hugging Face organization now exposes the Ornith 1.0 family of MIT-licensed agentic-coding models. The collection includes public 9B, 35B and 397B model cards plus GGUF and FP8 variants. The cards position Ornith as a self-improving model family post-trained from Gemma 4 and Qwen 3.5, using reinforcement learning to optimize both solution rollouts and their scaffolds, with reported results on Terminal-Bench 2.1, SWE-Bench, NL2Repo, SWE Atlas and ClawEval. The profile records vLLM, SGLang, Transformers and OpenAI-compatible local serving paths.

Pricing · 2026-06-21

MiniMax Token Plan pricing refreshed

MiniMax Token Plan lists Plus, Max and Ultra at $20, $50 and $120 per month, or $200, $500 and $1,200 per year with two months free. The tiers estimate 1.7B, 5.1B and 12.5B M3 tokens per month and 3-4, 4-5 and 6-7 concurrent agents. Quota is shared across supported modalities, governed by rolling five-hour and weekly windows, and does not carry over; MiniMax recommends pay-as-you-go billing for production workloads.

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