MiniMaxAI / text-generation Open weights Also via API updated 2 weeks ago

MiniMax-M2.5

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Params
228.7 B
Context
196,608
Downloads 30d
1.2 M
Likes
1,530
Licence: other Not gated SAFETENSORS View on Hugging Face β†—

Download history

daily snapshots Β· 106 days
β–² 623 K in the last 30 days (107.6%)
1.4 M272 K
Jul 28Sep 1Oct 6Nov 10

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 Β· 24 GB
model.safetensors f8_e4m3 230.1 GB 288.0 GB ❌ Won’t fit
model.safetensors (bf16, full) bf16 + 192K ctx 230.1 GB 1,076.9 GB ❌ Won’t fit
Estimate: file size Γ— 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark β€” how we calculate this.

Run it

copy-paste, exact tags checked against the Hub
~ Β· curl Β· api/v1
$ curl -s https://aimodelscomparison.com/api/v1/models/minimax-m2-5
{
  "hf_id": "MiniMaxAI/MiniMax-M2.5",
  "params_b": 228.69,
  "context_length": 196608,
  "license": { "id": "other", "commercial": "unknown" },
  "downloads_30d": 1202828,
  "vram_estimates": [
    { "quant": "f8_e4m3", "gb": 288.0 }
  ],
  "updated_at": "2026-10-27T01:00:04Z"
}
est. VRAM β€”on RTX 4090 Β· 24 GBJSON API β†’

Use via API

via OpenRouter Β· USD per 1M tokens Β· synced 2026-11-10
$0.30
input / 1M
$1.20
output / 1M
$0.06
cached input / 1M
$1.50
1M in + 1M out
Context window
65,536 tokens
Max output
58,982 tokens
Providers
5
Cheapest provider
Venice Β· $0.27 / $0.95
Best throughput
β€”
AA Intelligence / Coding / Agentic
β€” / β€” / β€”
βœ“ Tool calling βœ“ Reasoning βœ“ Structured outputs βœ— Image input βœ— File input βœ— Audio input βœ“ Prompt caching

Specifications

Architecture
MiniMaxM2ForCausalLM
Parameters
228.7 B
Tensor type
F8_E4M3
Context length
196,608
Vocabulary
200,064
Layers / heads
62 / 48
Licence
other
First seen on the Hub
2026-02-12
Training datasets
undisclosed
Added to our catalog
2026-07-28

Family

Base model and the most-downloaded derivatives in the catalog.

Compare with any text-generation model