Cracked AI Engineering

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

Qwen3-235B-A22B-Thinking-2507 offers 262K tokens context vs 75K tokens, Qwen3-235B-A22B-Thinking-2507 includes advanced reasoning, Qwen3-235B-A22B-Thinking-2507 has open weights. Compare full specs, pricing, and choose the best model for your use case.

Quick Overview

Qwen3-235B-A22B-Thinking-2507

Chutes

262K tokens context • $0.08 / $0.31 per 1M tokens

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Kimi K2 Instruct

Chutes

75K tokens context • $0.15 / $0.59 per 1M tokens

View full specifications →

Detailed Comparison

Specification
Qwen3-235B-A22B-Thinking-2507
Kimi K2 Instruct
Provider
Chutes
Chutes
Context Window
262K tokens
75K tokens
Max Output Tokens
262K tokens
75K tokens
Input Pricing (per 1M tokens)
$0.08
$0.15
Output Pricing (per 1M tokens)
$0.31
$0.59
Release Date
Jul 2025
Aug 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
  • • You prefer open weights

Choose Kimi K2 Instruct if: