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Gemini 2.5 Pro vs MiniMax M2.7

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 M2.7
minimax/m2.7
Provider
Google
MiniMax
Family
MiniMax M
Modality
text
text
Context window
1,000,000 tok
128,000 tok
Max output
65,536 tok
4,096 tok
Released
2026-05-22
2026-05-22
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 M2.7
minimax/m2.7
Full spec →

MiniMax's M2.7 language model with multilingual capabilities.

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 M2.7
anthropic/claude-opus-4.8 · minimax/m2.7
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 M2.7
anthropic/claude-sonnet-4.6 · minimax/m2.7
Grok 4.20 Multi-Agent vs Gemini 2.5 Pro
xai/grok-4.20-multi-agent-0309 · google/gemini-2.5-pro
Grok 4.20 Multi-Agent vs MiniMax M2.7
xai/grok-4.20-multi-agent-0309 · minimax/m2.7
GPT-5.4 vs Gemini 2.5 Pro
openai/gpt-5.4 · google/gemini-2.5-pro
GPT-5.4 vs MiniMax M2.7
openai/gpt-5.4 · minimax/m2.7
Gemini 2.5 Pro vs Gemini 3.1 Pro
google/gemini-2.5-pro · google/gemini-3.1-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 2.5 Pro
client.chat.completions.create(
    model="google/gemini-2.5-pro",
    messages=[{"role":"user","content":"hello"}],
)

# MiniMax M2.7
client.chat.completions.create(
    model="minimax/m2.7",
    messages=[{"role":"user","content":"hello"}],
)
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