Compare

MiniMax M3 vs O4-Mini

Pricing per million tokens, context window, capabilities — pulled from each provider's public docs. All 2 are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.

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MiniMax M3
minimax/m3
O4-Mini
openai/o4-mini
Provider
MiniMax
OpenAI
Family
MiniMax M
o-series
Modality
text
text
Context window
1,000,000 tok
200,000 tok
Max output
4,096 tok
100,000 tok
Released
2026-06-01
2026-05-22
License
Open-weight
Open-weight
Input price
$0.300 /1M
$1.10 /1M
Output price
$1.20 /1M
$4.40 /1M
Tools
yes
Streaming
yes
yes
Vision
JSON mode
yes
Reasoning
yes
Prompt caching
Batch API
Try it
Open in playground →
Open in playground →
MiniMax M3
minimax/m3
Full spec →

MiniMax's M3 language model with frontier coding and agentic capabilities, a 1M token context window, and multilingual support.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows
O4-Mini
openai/o4-mini
Full spec →

OpenAI's fast, lightweight reasoning model optimized for multi-step problem solving at lower cost.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows

Compare with another

Claude Sonnet 4.6 vs O4-Mini
anthropic/claude-sonnet-4.6 · openai/o4-mini
O4-Mini vs Gemini 3 Flash
openai/o4-mini · google/gemini-3-flash
Claude Opus 4.8 vs MiniMax M3
anthropic/claude-opus-4.8 · minimax/m3
Claude Opus 4.8 vs O4-Mini
anthropic/claude-opus-4.8 · openai/o4-mini
Gemini 3.1 Pro vs MiniMax M3
google/gemini-3.1-pro · minimax/m3
Gemini 3.1 Pro vs O4-Mini
google/gemini-3.1-pro · openai/o4-mini
Claude Sonnet 4.6 vs MiniMax M3
anthropic/claude-sonnet-4.6 · minimax/m3
GPT-5.5 vs MiniMax M3
openai/gpt-5.5 · minimax/m3
GPT-5.5 vs O4-Mini
openai/gpt-5.5 · openai/o4-mini
SWITCH BETWEEN THEM

One key, all 2, one line different.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.aigateway.sh/v1",
    api_key="sk-aig-...",
)

# MiniMax M3
client.chat.completions.create(
    model="minimax/m3",
    messages=[{"role":"user","content":"hello"}],
)

# O4-Mini
client.chat.completions.create(
    model="openai/o4-mini",
    messages=[{"role":"user","content":"hello"}],
)
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