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Review
MediaMiniMax M3

Google supplement: Artificial Analysis's public metrics for MiniMax-M3

Original source

Artificial Analysis; reached through Google search results

AuthorArtificial Analysis

Tabbit curation2026-08-19

Read original

Summary

Google results show that Artificial Analysis's MiniMax-M3 page compares model quality, price, output speed, and latency. A Google snippet gives an Intelligence Index of about 45 and a Coding Index of about 58.6; different result cards also showed 55 as an older or otherwise different snapshot, so the scores must be understood together with the page date.

Results visible in Google

  • MiniMax-M3 - Intelligence, Performance & Price Analysis: used to compare quality, price, performance, tokens per second, and time to first token.

  • Metrics cited in Google's AI Overview: Intelligence Index 45; output speed of approximately 93.5–110 tokens/s; time-to-first-token of approximately 1.3–1.4 seconds; a context window of 1,000,000 tokens; and standard pricing of approximately $0.30 per million input tokens / $1.20 per million output tokens.

  • The OpenRouter result card showed an Artificial Analysis Intelligence Index of 45.4, higher than 69% of its comparison models; the Coding Index was 58.6.

  • Another Artificial Analysis article snippet in the Google results said that MiniMax-M3 scored 55 on 2026-06-08 and called it the leading open-weights model; this conflicts with the 45 on another result card and indicates that the data snapshot or metric version changed.

Assessment

  • As a supplement, M3's public positioning is as a cost-effective model with a long context window and relatively strong coding/Agent capabilities.

  • Public metrics differ across time snapshots; actual selection should record the access date, page version, and provider.

  • This material should not supersede real-workflow evidence from X/Reddit: public leaderboards measure standardized metrics, while community posts measure harnesses, quotas, and task experience.

Original text (Google-visible snippets)

Analysis of MiniMax's MiniMax-M3 and comparison to other AI models across key metrics including quality, price, performa… This is a necessary excerpt; read the original source for full context.

Limitations

The target page could not be accessed directly in this collection, and Google snippets are not the complete article text; the score conflict could not be verified on the page itself. This file is for indexing and supplementary context only, not a final quantitative conclusion.

Curated by Tabbit

This is a third-party source navigator. Model versions, test environments, and personal experience vary; consult the original source.

MiniMax M3

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MiniMax M3

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