Cracked AI Engineering

Qwen3-235B-A22B-Thinking-2507 vs Phi-4-mini-instruct

Qwen3-235B-A22B-Thinking-2507 offers 262K tokens context vs 128K tokens. 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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Phi-4-mini-instruct

Weights & Biases

128K tokens context • $0.08 / $0.35 per 1M tokens

View full specifications →

Detailed Comparison

Specification
Qwen3-235B-A22B-Thinking-2507
Phi-4-mini-instruct
Provider
Weights & Biases
Weights & Biases
Context Window
262K tokens
128K tokens
Max Output Tokens
131K tokens
4K tokens
Input Pricing (per 1M tokens)
$0.10
$0.08
Output Pricing (per 1M tokens)
$0.10
$0.35
Release Date
Jul 2025
Dec 2024

Capabilities

Capability
Qwen3-235B-A22B-Thinking-2507
Phi-4-mini-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

Choose Phi-4-mini-instruct if:

  • • Cost efficiency is a priority