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Grok 4.7 vs Kimi K3

Grok 4.7 is the cheaper of the 2: for the same tokens, 3 read for each 1 written, Kimi K3 costs 2 times as much. Below are both price lists, what 8 everyday jobs cost a month on each, and how many tokens the same text takes on each, which can change the answer.

For the same tokens
Grok 4.7 is cheaper; Kimi K3 costs 2 times as much
Cheaper to read
Grok 4.7, $2 against $3
Cheaper to write
Grok 4.7, $6 against $15
Scores higher
Kimi K3, 157 against 154
Larger window
Kimi K3, 1.05M against 500K tokens

Price per million tokens, side by side

In US dollars, as each maker prints them. The better figure in each row is green.

Grok 4.7xAIKimi K3Moonshot AI
InputTokens the model reads$2$3
Cached inputRead again from the cache$0.50$0.30
Cache writePutting text in the cacheNot listed$3
OutputTokens it writes, thinking included$6$15
Blend 3:13 tokens read for each 1 written$3$6
Batch inputAnswers collected laterNot listedNot listed
Batch outputNot listedNot listed
Long prompt inputAbove 200K on Grok 4.7$4$3
Long prompt outputThe standard price where there is no long-prompt price$12$15
Context windowTokens it holds at once500K1.05M
Capability scoreEpoch Capabilities Index; GPT-5 is 150154157
Longest answerTokens it writes in 1 replyNot listedNot listed

The same text, counted by each maker

A price per token means little until you know how many tokens your text is. Here is our lesson How AI writes, about 1,700 words of English, counted the way each maker counts it, and what it costs to send it once.

  • Grok 4.7

    about 2,100 tokens

    Sent once: 0.41 cents at $2 per million

    xAI publishes neither its tokenizer nor a rule for estimating. The figure is OpenAI's o200k_base count, a rough guide only.

  • Kimi K3

    2,055 tokens

    Sent once: 0.62 cents at $3 per million

    Counted with the tokenizer Moonshot AI publishes with Kimi K3, the model its API serves.

What 8 everyday jobs cost a month on each

Each job at its usual number of runs a day, for 30 days, at the standard price. The cheaper of the 2 is green; open any job in the calculator to change it.

JobGrok 4.7Kimi K3Difference
A chat question300 in, 500 out, 100 a day$10.800.36 cents a run$25.200.84 cents a run2.3 times
A hard question, with thinking300 in, 1,400 out, 100 a day$27.000.9 cents a run$65.702.2 cents a run2.4 times
A long report, summarised60,000 in, 2,000 out, 20 a day$79.2013 cents a run$12621 cents a run1.6 times
A 40-turn agent task2,800,000 in, 40,000 out, 10 a day$618$2.06 a run$659$2.20 a run1.1 times
A support bot's reply4,000 in, 300 out, 2,000 a day$4080.68 cents a run$6661.1 cents a run1.6 times
Sort a message into a category250 in, 5 out, 50,000 a day$7950.053 cents a run$1,2380.083 cents a run1.6 times
Read an invoice into fields1,500 in, 250 out, 1,000 a day$1350.45 cents a run$2480.83 cents a run1.8 times
Review a pull request25,000 in, 4,500 out, 50 a day$1167.7 cents a run$21414 cents a run1.9 times

Your own job on both

Start from a job, then set its size, how often it runs and whether the answers can wait. Both bills follow every change.

Start from a job

A short question and a few paragraphs back.

tokens

about 230 words

0%

Instructions or documents the model has read before cost far less the second time.

tokens

about 380 words

A month of this job

  • Grok 4.7$10.80

    0.36 cents a run

  • Kimi K3$25.20

    0.84 cents a run

Grok 4.7 saves $14.40 a month; Kimi K3 costs 2.3 times as much.

This job on every model

Why the price per token is only the start

Every maker prints 2 main prices: one for the tokens a model reads (input) and one for the tokens it writes (output). On most current models writing costs 3 to 5 times as much as reading, so which model is cheaper can depend on the job. A job that reads a long document and writes a line pays mostly the input price; a chat that writes paragraphs pays mostly the output price. That is why each comparison prices 8 jobs and not one figure.

The same text is not the same number of tokens on every model. Each maker cuts text its own way, and Anthropic says its models from Claude 4.7 on produce about 30 percent more tokens for the same text than earlier ones. A model with the lower price per token can still send the larger bill, so each comparison counts one of our lessons the way both makers count it.

Discounts change the order too. Work that can wait costs half on a batch at the makers that offer one, and text read again from a cache costs a quarter of the input price or less on every current model here. The price table on each comparison shows who offers what.

Thinking is billed as output, and models differ in how much they think and how long they answer. A price list cannot show that. Before you switch, run the same 10 tasks on both models and compare the bills.

Questions

Which is cheaper, Grok 4.7 or Kimi K3?
Grok 4.7 is cheaper: $2 per million tokens read and $6 per million written, against $3 and $15 on Kimi K3. On a mix of 3 tokens read for each 1 written, Kimi K3 costs 2 times as much.
Which is better, Grok 4.7 or Kimi K3?
On the Epoch Capabilities Index, an independent score from Epoch AI that combines over 50 benchmarks, Kimi K3 scores 157 and Grok 4.7 154, above the top of the range of doubt around Grok 4.7's score (GPT-5 is 150). One score is an average; test both on your own work before you switch.
What does a support bot cost a month on Grok 4.7 and Kimi K3?
At 2,000 replies a day, each reading 4,000 tokens (50 percent of them from cache) and writing 300, it costs $408 a month on Grok 4.7 and $666 on Kimi K3: Kimi K3 costs 1.6 times as much for this job.
What does an AI agent task cost on Grok 4.7 and Kimi K3?
One 40-turn task that reads 2,800,000 tokens in all, 90 percent of them from cache, and writes 40,000, costs $2.06 on Grok 4.7 and $2.20 on Kimi K3. At 10 tasks a day that is $618 and $659 a month.
Which has the larger context window, Grok 4.7 or Kimi K3?
Kimi K3, with 1.05M tokens against 500K on Grok 4.7. The window holds your instructions, the files you attach, the conversation so far and the answer, all at once.
Does the same text take the same number of tokens on Grok 4.7 and Kimi K3?
No. Our lesson "How AI writes", 1,700 words long, is about 2,100 tokens on Grok 4.7 and 2,055 on Kimi K3. Each maker cuts text its own way, and every extra token is paid for at the model's price.
Can I pay less on Grok 4.7 and Kimi K3 for work that can wait?
Not with a batch price: neither maker's price page lists one for these models. A cache still lowers the price of text the model reads again.

Sources

Where each fact comes from

  1. 1xAI: API prices
  2. 2Moonshot AI: API prices
  3. 3How Moonshot AI models count tokens
  4. 4Epoch Capabilities Index, by Epoch AI (CC BY 4.0)