compare/Claude Opus 4.7vsGrok 4

Claude Opus 4.7 vs Grok 4

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.
 Claude Opus 4.7
anthropic/claude-opus-4.7
Grok 4
xai/grok-4
ProviderAnthropicxAI
FamilyClaude 4Grok 4
Modalitytexttext
Context window1,000,000 tok256,000 tok
Max output128,000 tok16,384 tok
Released2026-05-222025-07-09
Input price$5.00 /1M$5.00 /1M
Output price$25.00 /1M$15.00 /1M
Cache read$0.500 /1M
Toolsyesyes
Streamingyesyes
Visionyesyes
JSON modeyesyes
Reasoningyesyes
Prompt cachingyes
Claude Opus 4.7
anthropic/claude-opus-4.7
Full spec →

Claude Opus 4.7 is Anthropic's most capable generally available model, with a step-change improvement in agentic coding over Claude Opus 4.6. It uses adaptive thinking to calibrate reasoning per task and supports a one million token context window at standard pricing.

Strengths
  • 1M context + 128K output
  • State-of-the-art on agentic coding
  • Extended thinking
Grok 4
xai/grok-4
Full spec →

xAI Grok 4 — frontier reasoning, tool use, long context.

Strengths
  • Real-time search awareness
  • Irreverent tone
  • Competitive math + code
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 Claude Opus 4.7
client.chat.completions.create(
    model="anthropic/claude-opus-4.7",
    messages=[{"role":"user","content":"hello"}],
)

# Try Grok 4 — same client, same key
client.chat.completions.create(
    model="xai/grok-4",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyAdd a third model

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