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Grok 4.7 vs Kimi K3: Price and Context Comparison

Grok 4.7 and Kimi K3 compete in the mid-price tier with different context windows and rate structures.

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Grok 4.7 vs Kimi K3: Price and Context Comparison

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Grok 4.7 and Kimi K3 occupy the same market segment, priced well below the premium tier of Claude Fable 5.1 and GPT-6 Astra but offering different trade-offs. Grok 4.7 starts at $1.6 input and $4.8 output per million tokens, while Kimi K3 charges $3 input and $15 output. The context window differs substantially: Grok 4.7 handles 500,000 tokens, while Kimi K3 extends to 1,048,576 tokens.

For straightforward tasks under 200,000 tokens, Grok 4.7 delivers the lower cost. A typical request with 50,000 input tokens and 5,000 output tokens costs approximately $0.13 with Grok 4.7 at the base rate, compared to $0.23 with Kimi K3. The gap narrows when Grok 4.7 crosses the 200,000-token threshold and applies doubled rates to the entire prompt.

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When Context Size Matters

Kimi K3 becomes the practical choice when working with contexts between 500,000 and 1,048,576 tokens, where Grok 4.7 simply cannot operate. Below that ceiling, the decision depends on prompt size and frequency. Projects that regularly exceed 200,000 tokens per request face Grok 4.7 rates of $4 input and $12 output, which remain cheaper than Kimi K3 but reduce the advantage.

Cached input pricing gives Grok 4.7 an edge in repetitive workflows. At $0.50 per million cached tokens versus the standard rates, applications that reuse large reference materials see costs drop significantly. Kimi K3 pricing does not include a published cache discount in the available data.

Both models were released in the same pricing snapshot from September 21, 2026. Grok 4.7 carries a knowledge cutoff of May 2026, while Kimi K3 cutoff information was not provided in the source material. For users prioritizing cost over maximum context length, Grok 4.7 offers better economics. For those needing to process documents or conversations exceeding half a million tokens, Kimi K3 is the only option between the two.

Kinetyra

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Piotr Olszewski

Editor and publisher · Quantslant

I edit and publish Quantslant. AI tools help with research, drafts and translation; choosing topics, running the tests, checking facts and the decision to publish are mine, and so is the responsibility for what appears here.

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