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Grok 4.7 vs Kimi K3

grok-4.7kimi-k3

Grok 4.7 costs $0.198958 per 1M input tokens and $0.596874 per 1M output tokens, with a 500K-token context window; Kimi K3 costs $2.093511 per 1M input tokens and $10.467555 per 1M output tokens, with a 1M-token context window.

Side by side

Prices in US dollars; limits and capabilities as published by each model’s provider.

Grok 4.7 and Kimi K3 side by side
SpecGrok 4.7Kimi K3
Input/ 1M tokens$0.198958$2.093511
Output/ 1M tokens$0.596874$10.467555
Cache read/ 1M tokens$0.04974$0.209351
Cache write/ 1M tokens—$2.093511
Discount90% offList price $2 / $630% offList price $3 / $15
Contexttokens500K1M
Max outputtokens—1M
Input typestext, imagetext, image, video
Output typestexttext
Released—2026-07-16
Knowledge cutoff2026-05—
Tokens, last 7 daystokens14M—
Endpoints/v1/chat/completions/v1/responses/v1/chat/completions/v1/responses

Same workload

One workload of 1,000,000 input and 200,000 output tokens, priced at each model’s current rates.

Grok 4.7
$0.3183$0.199 input + $0.1194 output
Kimi K3
$4.187$2.0935 input + $2.0935 output

For this workload, Grok 4.7 costs $3.8687 less than Kimi K3.

Same code

Only the model field changes.

curl https://api.cheapaimodel.ai/v1/chat/completions \
  -H "Authorization: Bearer $CHEAPAIMODEL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "grok-4.7",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

When to choose which

Differences in the published specs, then each provider’s own description.

  • Kimi K3 has the longer context window (1M vs 500K tokens).
  • Grok 4.7 has the lower input price ($0.198958 vs $2.093511 per 1M tokens).
  • Grok 4.7 has the lower output price ($0.596874 vs $10.467555 per 1M tokens).
  • Kimi K3 accepts video input; Grok 4.7 doesn’t.

About Grok 4.7

xAI's most capable model, for coding, agentic tasks and knowledge work, released in September 2026 as the successor to Grok 4.6. It takes text and image input with a 500K-token context window and offers four reasoning effort levels, from low to xhigh.

About Kimi K3

Moonshot AI's flagship open-weight model, with 2.8 trillion parameters built on Kimi Delta Attention and Attention Residuals. It has native visual understanding and is designed for long-horizon coding, knowledge work and deep reasoning.