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MiniMax M3

M3 combines broad input modalities with a very large working window, making it suited to software engineering, agentic systems, and applications that need to reason across long documents or mixed visual material in one interaction. The supplied source directly describes it as a flagship model with native multimodality, strong agentic capabilities, and a long-context design.

The model is positioned as an open-weight option for teams that want substantial that quick-info value and multimodal understanding without relying on a narrowly text-only workflow. Its practical appeal is the combination of coding and agent-oriented use cases with the ability to process text, images, and video, while Fireworks’ launch coverage presents M3 as a significant addition to the open-weight ecosystem.

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Quick Info

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Provider
EmpirioLabs AI
Model key
minimax-m3
Release date
Jun 1, 2026
Last updated
Jun 12, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.225
Output token cost
$0.90

Limits

Output tokens
524,288 tokens
Context window
1,000,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about MiniMax M3

EmpirioLabs AI

CoverageBenchmark

BenchLM's independent snapshot (dated September 4, 2026) catalogs MiniMax M3 as released June 1, 2026, with open-weight status, 1M-token context, and API pricing of $0.30 input / $1.20 output per million tokens ($0.06 cached input, $0.75 blended). The model scores 63.9/100 overall, ranking 49th of 232 tracked models, a The catalog flags that 27 source-displayable benchmark rows are published, with some tracked slots empty and the Reasoning, Math, Multilingual, and Instruction-following categories marked as not eligible or not ranked. Capability percentiles within eligible cohorts are 30th (Agentic), 63rd (Coding), and 65th (Knowledge

EmpirioLabs AI

Coverage

MiniMax officially released MiniMax M3 on June 1, 2026, positioning it as a frontier-level model for coding and agentic work. According to the MiniMax research blog, M3 introduces MiniMax Sparse Attention (MSA), a new attention architecture from the MiniMax team that enables context windows of up to 1 million tokens, a The blog details meaningful gains over the prior M2 in coding benchmarks for bug fixing, frontend/backend development, and performance optimization, and reports strong agentic performance on office workflows (search, Office-suite tasks) and initial usability in financial-domain tasks. M3 is available immediately throug

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