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Together's MiniMax-M3 expands agent context with enhanced inference

Together has released MiniMax-M3, an advancement in agent capabilities that significantly expands the context window. This new iteration allows agents to process and retain information from long histories, images, video, documents, and tool outputs. The development is made practical for large-scale deployment through Together's inference optimizations, which boost token throughput and increase the amount of work that can be automated per dollar spent on GPUs. AI

IMPACT Enables AI agents to process and retain significantly more diverse information, potentially accelerating automation and complex task execution.

RANK_REASON Frontier-lab model release with system card [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on X — Together (inference / OSS) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Together's MiniMax-M3 expands agent context with enhanced inference

How we ranked this

Signal score
0 / 100
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Newsworthiness bucket
Significant
Frontier-lab model release with system card [lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, infra
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High
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Story freshness
72 days old
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COVERAGE [1]

  1. X — Together (inference / OSS) TIER_1 English(EN) · togethercompute ·

    MiniMax-M3 expands what agents can carry into context: long histories, images, video, documents, and tool outputs.

    MiniMax-M3 expands what agents can carry into context: long histories, images, video, documents, and tool outputs. Together’s inference work makes that practical at scale by improving token throughput across the serving path. More tokens per GPU means more work automated per