Use MiniMax Models in Big-AGI.
Bring your own key: MiniMax's API rates, no markup. Keys and chats stay in your browser. Run MiniMax in parallel with other models, then compare and merge the answers.
All supported MiniMax models
MiniMax M3
Flagship: frontier coding and agentic reasoning, natively multimodal (text, image, video input). 1M context, 131K max output.
1M
$0.3
$1.2
May 2026
MiniMax M2.7
Recursive self-improvement and agentic capabilities. 200K context, 131K max output. ~60 t/s.
205K
$0.3
$1.2
Mar 2026
MiniMax M2.7 (Highspeed)
Faster M2.7 variant at ~100 t/s. 200K context, 131K max output.
205K
$0.6
$2.4
Mar 2026
MiniMax M2.5
Strong coding and reasoning, best value. 200K context, 65K max output.
205K
$0.3
$1.2
Feb 2026
MiniMax M2.5 (Highspeed)
Faster M2.5 variant at ~100 t/s. 200K context, 65K max output.
205K
$0.6
$2.4
Feb 2026
MiniMax M2-her
Dialogue-first model for immersive roleplay, character-driven chat, and expressive multi-turn conversations. 64K context.
66K
$0.3
$1.2
Jan 2026
MiniMax M2.1
230B params (10B active), multilingual coding. 200K context, 65K max output.
205K
$0.3
$1.2
Dec 2025
MiniMax M2.1 (Highspeed)
Faster M2.1 variant. 200K context, 65K max output.
205K
$0.6
$2.4
Dec 2025
MiniMax M2
230B params (10B active), agentic and reasoning. 200K context, 128K max output.
205K
$0.3
$1.2
Oct 2025
MiniMax M1
456B total / 45.9B active MoE with lightning attention. 1M context, 40K max output.
1M
$0.4
$2.2
Jun 2025
MiniMax 01
Legacy flagship. 1M context.
1M
$0.2
$1.1
Jan 2025
MiniMax M3
Flagship: frontier coding and agentic reasoning, natively multimodal (text, image, video input). 1M context, 131K max output.
MiniMax M2.7
Recursive self-improvement and agentic capabilities. 200K context, 131K max output. ~60 t/s.
MiniMax M2.7 (Highspeed)
Faster M2.7 variant at ~100 t/s. 200K context, 131K max output.
MiniMax M2.5
Strong coding and reasoning, best value. 200K context, 65K max output.
MiniMax M2.5 (Highspeed)
Faster M2.5 variant at ~100 t/s. 200K context, 65K max output.
MiniMax M2-her
Dialogue-first model for immersive roleplay, character-driven chat, and expressive multi-turn conversations. 64K context.
MiniMax M2.1
230B params (10B active), multilingual coding. 200K context, 65K max output.
MiniMax M2.1 (Highspeed)
Faster M2.1 variant. 200K context, 65K max output.
MiniMax M2
230B params (10B active), agentic and reasoning. 200K context, 128K max output.
MiniMax M1
456B total / 45.9B active MoE with lightning attention. 1M context, 40K max output.
MiniMax 01
Legacy flagship. 1M context.
Get started in 3 steps
1
Create an API key at the MiniMax console.
2
Paste it into Big-AGI's model settings.
3
Start chatting, or Beam it against other models and fuse the answers.
Running MiniMax in Big-AGI
Connect MiniMax's OpenAI-compatible API with your own key, or route the M-series through OpenRouter. Either way, Big-AGI adds no markup and no intermediary: billing runs directly between you and MiniMax or OpenRouter, and your keys stay in your browser.
- Your key, your billing. Usage is billed by MiniMax or OpenRouter to your account. Big-AGI does not meter or charge for model usage.
- Frontier value, tuned for agents. The M-series pairs a million-token context window with aggressive pricing, much of it open weights, and from M2 on the models are built for coding and multi-step tool use.
- A catalog that just works. MiniMax has no models-listing API at all. Big-AGI recognizes the MiniMax hostname and serves an always-current, hand-maintained catalog with real pricing instead of hammering a dead endpoint. Setup stays one paste of a key.
Why run MiniMax here?
MiniMax's most visible consumer product is Talkie, a character-chat app, not a workbench for the M-series models. Beam is that workbench: it runs MiniMax next to GPT, Claude, and Gemini on the same prompt, so you can see whether its long-context read or its agentic plan holds up against the rest of the field before you rely on it. You also get parameters no character app exposes (temperature, system prompt, per-turn model swaps), and a key that stays in your browser.
Your keys and your data
Turn on Direct Connection and the browser calls MiniMax, or OpenRouter, directly, bypassing the Big-AGI server, whenever your key is client-side and the provider allows it. Your keys stay in your browser. Chats are stored locally first and sync only if you turn it on. The AI Inspector opens on any message to show the exact request, the token counts, and a cost estimate for that call.
MiniMax in Beam
Run MiniMax in parallel with Claude, GPT, and Gemini on the same prompt, then reach for Fusions: several strategies that combine, cross-check, and synthesize the parallel answers, which beats just picking the single best one. Parallel runs use more tokens than a single chat.
Bring your MiniMax key. Keep control.
Your key, your data, your choice of model. Big-AGI is open source and self-hostable, so you can check exactly how MiniMax is called.
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