Gemini 3 Pro vs Kimi K2 for Python

Gemini 3 Pro vs Kimi K2 for python: which is better in 2026?

A head-to-head look at Gemini 3 Pro and Kimi K2 for python. Benchmarks via artificialanalysis.ai, pricing as of May 2026. Compare AI models like these inside Admix.

Quick verdict

For python in May 2026, Gemini 3 Pro edges out Kimi K2 on the codingIndex metric. Largest practical context window.

Side-by-side specs

SpecGeminiKimi
Intelligence index75.670.4
Coding index73.468.9
Context window2M tokens2M tokens
Speed (tok/s)165110
Input $/M$2.50$0.60
Output $/M$10.00$2.50
ReleasedFeb 12, 2026Dec 11, 2025

How they handle python

Gemini 3 Pro: Largest practical context window. The main caveat is coding scores below claude and gpt-5.

Kimi K2: Huge context window at low price. The main caveat is coding lags western frontier models.

Cost per 1,000 queries

Assuming 1,500 input and 800 output tokens per query:

  • Gemini 3 Pro: $11.75 per 1,000 queries
  • Kimi K2: $2.90 per 1,000 queries

Verdict by sub-task

  • Best raw quality on python:
  • Best price: Kimi K2
  • Longest context: Gemini 3 Pro
  • Fastest: Gemini 3 Pro

FAQ

Is Gemini 3 Pro better than Kimi K2 for python?

On May 2026 benchmarks (artificialanalysis.ai), Gemini 3 Pro ranks higher than Kimi K2 for python on the codingIndex metric. The gap is small enough that the choice often comes down to price, context length, and tone.

Which is cheaper, Gemini 3 Pro or Kimi K2?

Gemini 3 Pro costs $2.50 input and $10.00 output per million tokens. Kimi K2 costs $0.60 input and $2.50 output per million tokens.

Can I use both Gemini and Kimi in one app?

Yes. Admix is a multi model AI chat aggregator that lets you run Gemini 3 Pro and Kimi K2 side by side under one subscription.

Sources

Benchmarks from artificialanalysis.ai (May 2026).

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