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Gemini 2.5 Pro 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 2.5 Pro
google/gemini-2.5-pro
MiniMax M3
minimax/m3
Provider
Google
MiniMax
Family
MiniMax M
Modality
text
text
Context window
1,000,000 tok
1,000,000 tok
Max output
65,536 tok
4,096 tok
Released
2026-05-22
2026-06-01
License
Proprietary
Open-weight
Input price
$1.25 /1M
$0.300 /1M
Output price
$10.00 /1M
$1.20 /1M
Tools
Streaming
yes
yes
Vision
JSON mode
Reasoning
Prompt caching
Batch API
Try it
Open in playground →
Open in playground →
Gemini 2.5 Pro
google/gemini-2.5-pro
Full spec →

Google's most capable Gemini 2.5 model with strong reasoning, thinking support, and a 1M token context window.

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 4.8 vs Gemini 2.5 Pro
anthropic/claude-opus-4.8 · google/gemini-2.5-pro
Claude Opus 4.8 vs MiniMax M3
anthropic/claude-opus-4.8 · minimax/m3
Gemini 3.1 Pro vs Gemini 2.5 Pro
google/gemini-3.1-pro · google/gemini-2.5-pro
Gemini 3.1 Pro vs MiniMax M3
google/gemini-3.1-pro · minimax/m3
Claude Sonnet 4.6 vs Gemini 2.5 Pro
anthropic/claude-sonnet-4.6 · google/gemini-2.5-pro
Claude Sonnet 4.6 vs MiniMax M3
anthropic/claude-sonnet-4.6 · minimax/m3
GPT-5.5 vs Gemini 2.5 Pro
openai/gpt-5.5 · google/gemini-2.5-pro
GPT-5.5 vs MiniMax M3
openai/gpt-5.5 · minimax/m3
Gemini 2.5 Pro vs Kimi-K2.6
google/gemini-2.5-pro · moonshot/kimi-k2.6
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 2.5 Pro
client.chat.completions.create(
    model="google/gemini-2.5-pro",
    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 →