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  5. Claude 3.7 SonnetvsGrok 4.7
Updated Sep 2026

Claude 3.7 SonnetvsGrok 4.7

Grok 4.7 is cheaper than Claude 3.7 Sonnet at $1.6/M vs $3/M input tokens.

Claude 3.7 Sonnet and Grok 4.7 compared across 10 shared prompts
SpecClaude 3.7 SonnetGrok 4.7
Input price$3/M tokens$1.6/M tokens
Output price$15/M tokens$4.8/M tokens
Context window200K tokens500K tokens
Weights—Closed
Free API (OpenRouter)NoNo
ReleasedFeb 2025Sep 2026
Side by side

Same prompt, both answers

Opening lines from 3 of the 10 prompts both answered. Formatting stripped, words untouched.

Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

Claude 3.7 Sonnet472 words
Architectural Analysis: Collaborative Document Editor Failure Modes & Race Conditions WebSocket Connection Failures Issue: If a WebSocket connection drops, changes may be lost until reconnection. Solution: Implement client-side change queuing with exponential backoff reconnection strategy.
Read the full answer
Grok 4.71,399 words
This design will lose edits, split users into inconsistent views, and fall over under concurrent writing. The core problems are clock-based conflict resolution, per-server WebSocket fan-out, polling as the sync path, and treating documents as full HTML snapshots.
Read the full answer

Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

Claude 3.7 Sonnet721 words
LLM Explanations for Different Audiences For the Experienced Software Engineer Large language models like GPT operate fundamentally as massive pattern recognition systems, but with architectural innovations that allow them to handle context at unprecedented scale.
Read the full answer
Grok 4.71,173 words
1. Experienced software engineer An LLM is a stateless function from a token sequence to a probability distribution over the next token. Training is a giant batch job: you stream text, run a forward pass, compare the predicted distribution to the actual next token with cross-entropy, and push gradients through billions…
Read the full answer

Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

Claude 3.7 Sonnet415 words
Analysis of MindMeld AI's Weakest Pitch Claims Weakest Claim #1: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy." Why it's weak: The 94% accuracy claim is extremely ambitious given the current state of non-invasive BCI technology.
Read the full answer
Grok 4.7599 words
Three weakest claims 1. “Predict what you want to type before you think it” (Slide 1) This is scientifically incoherent, not just ambitious. Non-invasive EEG decodes neural activity that is already underway (motor imagery, attempted speech, attention).
Read the full answer
Our Verdict
Grok 4.7
Grok 4.7
Claude 3.7 Sonnet
Claude 3.7 SonnetRunner-up

Not enough votes to call it. On the specs, Grok 4.7 has the edge: newer, bigger context window.

Grok 4.7 costs 3.1x less per token.

Too close to call
API pricing

Cost per 1M tokens

Claude 3.7 Sonnet
Input
$3.00
Output
$15.00
Grok 4.7
Input
$1.60
1.9× cheaper
Output
$4.80
3.1× cheaper

Grok 4.7 is cheaper on both: 1.9× input, 3.1× output.

Where to run it

1 host

Claude 3.7 Sonnet

No hosts listed on OpenRouter.

Grok 4.71 host
HostInOutContextUptime
xAI$1.60 in·$4.80 out·500k·99% up

Per million tokens. Prices and uptime via OpenRouter, checked 22 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Claude 3.7 Sonnet is developed by Anthropic while Grok 4.7 is developed by xAI. Claude 3.7 Sonnet has a 200K token context window vs Grok 4.7's 500K. You can compare their actual outputs across 10 challenges on Rival to see how they differ in practice.

It depends on your use case. Claude 3.7 Sonnet and Grok 4.7 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 10 challenges so you can judge which fits your needs best.

Claude 3.7 Sonnet costs $3/M input tokens and Grok 4.7 costs $1.6/M input tokens. Grok 4.7 is $1.40/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

This page shows a side-by-side comparison of Claude 3.7 Sonnet and Grok 4.7 across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.

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