compare/Grok 4.5vsGemini 3.1 Pro

Grok 4.5 vs Gemini 3.1 Pro

Pricing, context window, capabilities, and release date — pulled from each provider's public docs. Both are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.

RUN BOTH LIVE

Paste a prompt. Watch them race.

Both models stream in parallel through your own AIgateway key. Tokens, latency, and cost update as they arrive.

Sign in to runLive streaming uses your own key. It's free to sign up.
 Grok 4.5
xai/grok-4.5
Gemini 3.1 Pro
google/gemini-3.1-pro
ProviderxAIGoogle
FamilyGrok 4Gemini 3
Modalitytexttext
Context window500,000 tok1,000,000 tok
Max output32,768 tok65,536 tok
Released2026-07-212026-05-22
Input price$1.00 /1M$2.00 /1M
Output price$1.00 /1M$12.00 /1M
Cache read$0.200 /1M
Toolsyes
Streamingyesyes
Visionyesyes
JSON modeyes
Reasoningyes
Prompt cachingyes
Grok 4.5
xai/grok-4.5
Full spec →

xAI's Grok 4.5, a frontier model built for coding, agentic tasks, and knowledge work. Accepts text and image inputs, and supports function calling, structured outputs, and configurable reasoning effort (low, medium, high).

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Gemini 3.1 Pro
google/gemini-3.1-pro
Full spec →

Google's most intelligent Gemini model with improved reasoning, a medium thinking level, and a 1M token context window.

Strengths
  • 2M-token context
  • Native video + audio input
  • Cheapest long-context reasoning
SWITCH BETWEEN THEM

One key, both models, one line different.

# pip install aigateway-py openai
# aigateway-py: sub-accounts, evals, replays, jobs, webhook verify.
# openai SDK: chat/embeddings/images/audio — drop-in compat per our SDK's own guidance.
from openai import OpenAI

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

# Try Grok 4.5
client.chat.completions.create(
    model="xai/grok-4.5",
    messages=[{"role":"user","content":"hello"}],
)

# Try Gemini 3.1 Pro — same client, same key
client.chat.completions.create(
    model="google/gemini-3.1-pro",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyAdd a third model

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