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Gemini 3.6 Flash vs MiniMax M3

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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Gemini 3.6 Flash
google/gemini-3.6-flash
MiniMax M3
minimax/m3
Provider
Google
MiniMax
Family
Gemini 3
MiniMax M
Modality
text
text
Context window
1,048,576 tok
1,000,000 tok
Max output
65,536 tok
4,096 tok
Released
2026-07-21
2026-06-01
License
Proprietary
Open-weight
Input price
$1.50 /1M
$0.300 /1M
Output price
$7.50 /1M
$1.20 /1M
Tools
yes
Streaming
yes
yes
Vision
yes
JSON mode
yes
Reasoning
Prompt caching
Batch API
Try it
Open in playground →
Open in playground →
Gemini 3.6 Flash
google/gemini-3.6-flash
Full spec →

Gemini 3.6 Flash provides sustained frontier-level intelligence optimized for real-world tasks at a higher speed and lower cost, excelling at code generation, agentic execution, and spatial reasoning.

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

Compare with another

Claude Opus 5 vs Gemini 3.6 Flash
anthropic/claude-opus-5 · google/gemini-3.6-flash
Claude Opus 5 vs MiniMax M3
anthropic/claude-opus-5 · minimax/m3
Grok 4.5 vs Gemini 3.6 Flash
xai/grok-4.5 · google/gemini-3.6-flash
Grok 4.5 vs MiniMax M3
xai/grok-4.5 · minimax/m3
Kimi K3 vs Gemini 3.6 Flash
moonshot/kimi-k3 · google/gemini-3.6-flash
Kimi K3 vs MiniMax M3
moonshot/kimi-k3 · minimax/m3
Gemini 3.6 Flash vs GPT-5.6 Sol
google/gemini-3.6-flash · openai/gpt-5.6-sol
Gemini 3.6 Flash vs Claude Fable 5
google/gemini-3.6-flash · anthropic/claude-fable-5
Gemini 3.6 Flash vs DeepSeek V4 Pro
google/gemini-3.6-flash · deepseek/deepseek-v4-pro
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-...",
)

# Gemini 3.6 Flash
client.chat.completions.create(
    model="google/gemini-3.6-flash",
    messages=[{"role":"user","content":"hello"}],
)

# MiniMax M3
client.chat.completions.create(
    model="minimax/m3",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyRun an eval on these →