Compare

MiniMax M3 vs Gemini 3.5 Flash-Lite

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
Gemini 3.5 Flash-Lite
google/gemini-3.5-flash-lite
Provider
MiniMax
Google
Family
MiniMax M
Gemini 3
Modality
text
text
Context window
1,000,000 tok
1,048,576 tok
Max output
4,096 tok
65,536 tok
Released
2026-06-01
2026-07-21
License
Open-weight
Proprietary
Input price
$0.300 /1M
$0.300 /1M
Output price
$1.20 /1M
$2.50 /1M
Tools
yes
Streaming
yes
yes
Vision
yes
JSON mode
yes
Reasoning
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
Gemini 3.5 Flash-Lite
google/gemini-3.5-flash-lite
Full spec →

Gemini 3.5 Flash-Lite is a low-latency, cost-effective multimodal model optimized for high-throughput, low-cost execution for subagent tasks and document parsing.

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

Compare with another

Grok 4.6 vs MiniMax M3
xai/grok-4.6 · minimax/m3
Grok 4.6 vs Gemini 3.5 Flash-Lite
xai/grok-4.6 · google/gemini-3.5-flash-lite
Claude Opus 5 vs MiniMax M3
anthropic/claude-opus-5 · minimax/m3
Claude Opus 5 vs Gemini 3.5 Flash-Lite
anthropic/claude-opus-5 · google/gemini-3.5-flash-lite
Qwen3.8 Max vs MiniMax M3
alibaba/qwen3.8-max · minimax/m3
Qwen3.8 Max vs Gemini 3.5 Flash-Lite
alibaba/qwen3.8-max · google/gemini-3.5-flash-lite
DeepSeek V4 Pro vs MiniMax M3
deepseek/deepseek-v4-pro · minimax/m3
DeepSeek V4 Pro vs Gemini 3.5 Flash-Lite
deepseek/deepseek-v4-pro · google/gemini-3.5-flash-lite
Kimi K3 vs MiniMax M3
moonshot/kimi-k3 · minimax/m3
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"}],
)

# Gemini 3.5 Flash-Lite
client.chat.completions.create(
    model="google/gemini-3.5-flash-lite",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyRun an eval on these →