Cracked AI Engineering

Qwen3-235B-A22B-Thinking-2507 vs Kimi-K2-Instruct

Qwen3-235B-A22B-Thinking-2507 offers 262K tokens context vs 128K tokens, Qwen3-235B-A22B-Thinking-2507 is more cost-effective, Qwen3-235B-A22B-Thinking-2507 includes advanced reasoning. Compare full specs, pricing, and choose the best model for your use case.

Quick Overview

Qwen3-235B-A22B-Thinking-2507

Weights & Biases

262K tokens context • $0.10 / $0.10 per 1M tokens

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Kimi-K2-Instruct

Weights & Biases

128K tokens context • $1.35 / $4.00 per 1M tokens

View full specifications →

Detailed Comparison

Specification
Qwen3-235B-A22B-Thinking-2507
Kimi-K2-Instruct
Provider
Weights & Biases
Weights & Biases
Context Window
262K tokens
128K tokens
Max Output Tokens
131K tokens
16K tokens
Input Pricing (per 1M tokens)
$0.10
$1.35
Output Pricing (per 1M tokens)
$0.10
$4.00
Release Date
Jul 2025
Jul 2025

Capabilities

Capability
Qwen3-235B-A22B-Thinking-2507
Kimi-K2-Instruct
Text Generation
Function Calling
Advanced Reasoning

Which Model Should You Choose?

Choose Qwen3-235B-A22B-Thinking-2507 if:

  • • You need a larger context window
  • • Cost efficiency is a priority
  • • You need advanced reasoning

Choose Kimi-K2-Instruct if: