Staying with Kimi still leaves a decision: Kimi K3.1 Pro or Kimi K3 (Low). No hands-on testing went into this write-up; it summarises the recorded benchmark, price and speed data for both models. The headline gap is on the intelligence index, where Kimi K3.1 Pro scores 46.5 and Kimi K3 Low 17.4.
Kimi K3.1 Pro leads on the intelligence index
Kimi K3.1 Pro comes out ahead on the intelligence index, 46.5 to 17.4. A gap this large suggests the two are built for different jobs.
For context, that places Kimi K3.1 Pro 23rd and Kimi K3 Low 86th out of 109 scored models still on offer.
Specialist coding and math indexes are missing for both, so treat the overall score as the only capability signal here.
Which is newer
Kimi K3 Low came first, on July 16, 2026; Kimi K3.1 Pro followed on October 23, 2026.
Kimi K3 Low is the faster writer
Once a response is under way, Kimi K3.1 Pro produces roughly 27 tokens per second against 49 tokens per second for Kimi K3 Low. Kimi K3 Low is ahead by 83% on throughput. The wait for the first token averages 3.0 seconds on Kimi K3.1 Pro against 3.6 seconds on Kimi K3 Low. Short replies favour Kimi K3.1 Pro; beyond about 50 tokens, Kimi K3 Low claws the time back.
Add the two numbers up for a 2,000-token reply and Kimi K3 Low finishes first: 77 seconds for Kimi K3.1 Pro, 44 seconds for Kimi K3 Low.
Cost: Kimi K3.1 Pro is cheaper
Per million tokens, Kimi K3.1 Pro charges $2.00 for input and $10.00 for output, while Kimi K3 Low charges $3.00 and $15.00. Kimi K3 Low costs 1.5 times as much per output token.
For a sample workload of 1 million input tokens and 200,000 output tokens, Kimi K3.1 Pro would cost $4.00 and Kimi K3 Low $6.00, a difference of $2.00. A bigger example, extracting fields from 20,000 pages of 1,500 tokens into 150-token records, costs $90.00 on Kimi K3.1 Pro and $135 on Kimi K3 Low: a gap of $45.00.
Value for money
A blunt value measure, blended price over intelligence score, puts Kimi K3.1 Pro at $0.086 and Kimi K3 Low at $0.34 per point. Kimi K3.1 Pro scores higher and costs less per point, so on price per point there is nothing to trade off.

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