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VOICE ARCHIVE

@openhandsdev

@openhandsdev
8 posts
2026-02-13
@MiniMax_AI M2.5 performed particularly well on long-running tasks like building apps from scratch, an area where smaller models have traditionally struggled. Also strong on issue resolution and software testing. [image]
2026-02-13 View on X
MiniMax

MiniMax releases M2.5, claiming the model delivers on the “intelligence too cheap to meter” promise, priced at $0.30/1M input tokens and $1.20/1M output tokens

Today we're introducing our latest model, MiniMax-M2.5.  —  Extensively trained with reinforcement learning …

View original
@MiniMax_AI At 230B parameters (10B active), it's also relatively lightweight for a frontier-class model. This is the size where local deployment is feasible as well. [image]
2026-02-13 View on X
MiniMax

MiniMax releases M2.5, claiming the model delivers on the “intelligence too cheap to meter” promise, priced at $0.30/1M input tokens and $1.20/1M output tokens

Today we're introducing our latest model, MiniMax-M2.5.  —  Extensively trained with reinforcement learning …

View original
@MiniMax_AI The cost-performance tradeoff is remarkable. At ~13x cheaper than Opus, M2.5 opens up use cases that weren't practical before. It's essentially a two-horse race for API-available models at the moment: Opus for max capability, M2.5 for high capability at low cost. [image]
2026-02-13 View on X
MiniMax

MiniMax releases M2.5, claiming the model delivers on the “intelligence too cheap to meter” promise, priced at $0.30/1M input tokens and $1.20/1M output tokens

Today we're introducing our latest model, MiniMax-M2.5.  —  Extensively trained with reinforcement learning …

View original
Big news for open models: @MiniMax_AI M2.5 is out and it's an excellent+affordable coding model. It ranks 4th in our benchmarks, the first open model to beat Claude Sonnet. Only Claude Opus and GPT-5.2 Codex score higher. Details on scores and limited-time free access below 🧵 [image]
2026-02-13 View on X
MiniMax

MiniMax releases M2.5, claiming the model delivers on the “intelligence too cheap to meter” promise, priced at $0.30/1M input tokens and $1.20/1M output tokens

Today we're introducing our latest model, MiniMax-M2.5.  —  Extensively trained with reinforcement learning …

View original
2026-02-12
@MiniMax_AI At 230B parameters (10B active), it's also relatively lightweight for a frontier-class model. This is the size where local deployment is feasible as well. [image]
2026-02-12 View on X
MiniMax

MiniMax releases M2.5, claiming the model delivers on the “intelligence too cheap to meter” promise, priced at $0.30/1M input tokens and $1.20/1M output tokens

Today we're introducing our latest model, MiniMax-M2.5.  —  Extensively trained with reinforcement learning …

View original
@MiniMax_AI M2.5 performed particularly well on long-running tasks like building apps from scratch, an area where smaller models have traditionally struggled. Also strong on issue resolution and software testing. [image]
2026-02-12 View on X
MiniMax

MiniMax releases M2.5, claiming the model delivers on the “intelligence too cheap to meter” promise, priced at $0.30/1M input tokens and $1.20/1M output tokens

Today we're introducing our latest model, MiniMax-M2.5.  —  Extensively trained with reinforcement learning …

View original
@MiniMax_AI The cost-performance tradeoff is remarkable. At ~13x cheaper than Opus, M2.5 opens up use cases that weren't practical before. It's essentially a two-horse race for API-available models at the moment: Opus for max capability, M2.5 for high capability at low cost. [image]
2026-02-12 View on X
MiniMax

MiniMax releases M2.5, claiming the model delivers on the “intelligence too cheap to meter” promise, priced at $0.30/1M input tokens and $1.20/1M output tokens

Today we're introducing our latest model, MiniMax-M2.5.  —  Extensively trained with reinforcement learning …

View original
Big news for open models: @MiniMax_AI M2.5 is out and it's an excellent+affordable coding model. It ranks 4th in our benchmarks, the first open model to beat Claude Sonnet. Only Claude Opus and GPT-5.2 Codex score higher. Details on scores and limited-time free access below 🧵 [image]
2026-02-12 View on X
MiniMax

MiniMax releases M2.5, claiming the model delivers on the “intelligence too cheap to meter” promise, priced at $0.30/1M input tokens and $1.20/1M output tokens

Today we're introducing our latest model, MiniMax-M2.5.  —  Extensively trained with reinforcement learning …

View original