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MiniMax M2.5

MiniMax · MiniMax M

MiniMax's M2.5, a fast and inexpensive proprietary model for agentic coding, tool use, and high-volume production.

Part of MiniMax M family · Other versions: MiniMax M2.7 , MiniMax-M2.5
Type
language
Context
200K tokens
Max Output
16K tokens
Status
current
Input
$0.15/1M tok
Output
$1.15/1M tok
API Access
Yes
License
proprietary
chinese reasoning coding agentic tool-use cost-efficient
Released February 2026 · Updated May 1, 2026

Overview

Freshness note: Model capabilities, limits, and pricing can change quickly. This profile is a point-in-time snapshot last verified on May 1, 2026.

MiniMax M2.5 is an older active production tier in the M family, released on February 12, 2026 alongside a faster M2.5-Lightning variant. MiniMax positions M2.5 around real-world productivity and tool-use rather than headline benchmark wins, with a documented emphasis on coding, search, office deliverables, and agent loops. MiniMax M2.7 is now the better starting point for new MiniMax evaluations, while this page remains useful for teams pinned to the M2.5 endpoint or comparing pricing across M-series generations.

This entry covers the standard M2.5 endpoint. The Lightning variant trades some peak quality for higher throughput and is referenced in prose rather than getting a separate entry.

Capabilities

MiniMax’s product and release materials highlight a specific capability profile:

  • Production-oriented coding, search, and office-style deliverables rather than research-grade reasoning peaks.
  • Strong tool-calling and agent-loop behavior for assistant pipelines and copilots.
  • Long-context support for retrieval-heavy and document-heavy workflows.
  • Fast inference on M2.5-Lightning, with a steady throughput of around 100 tokens per second on the MiniMax API at the time of launch.
  • Bilingual Chinese-English performance suited to mixed-language enterprise environments.

Technical Details

Public anchors at this snapshot:

  • Approximately 200K-token context window (sources cite 196K to 205K).
  • Two main endpoints: standard M2.5 and a faster M2.5-Lightning variant.
  • Hosted API only at this snapshot; not released as open weights.
  • Anthropic-compatible API integration paths documented by MiniMax.

Pricing & Access

Listed MiniMax pricing for the standard M2.5 endpoint (per 1M tokens):

  • Input: $0.15
  • Output: $1.15

The M2.5-Lightning variant is roughly twice as expensive on output but delivers materially higher throughput for latency-sensitive workloads. Pricing varies modestly across third-party gateways such as OpenRouter, so spot-check rates before locking cost models.

Access options:

  • MiniMax platform APIs
  • Coding Plan subscription for developer-heavy usage
  • Third-party gateways and inference providers
  • Anthropic-compatible client SDK paths

Best Use Cases

Choose MiniMax M2.5 for:

  • Cost-sensitive production assistants that still need reasonable reasoning and tool-use behavior.
  • Coding copilots, search agents, and office-deliverable generation pipelines.
  • Bilingual Chinese-English workloads with cost as a primary driver.
  • Long-context document analysis at materially lower per-token rates than US frontier APIs.

For frontier-grade reasoning peaks, harder agentic coding, or strong governance and enterprise contract guarantees, alternatives from Anthropic, OpenAI, or Google are still more natural defaults.

Comparisons

  • MiniMax M (MiniMax): Family overview; M2.5 is the current widely available production tier under it.
  • DeepSeek V4 Flash (DeepSeek): Comparable cost-efficient option with even cheaper rates and 1M context, though less explicit on agent productivity framing.
  • GPT-5.4 (OpenAI): Premium alternative with stronger ecosystem and governance; M2.5 trades that for sharply lower cost and Chinese-language strength.