Gemini 2.0 Flash Thinking vs GLM 4.7 Flash
Compare Gemini 2.0 Flash Thinking by Google AI against GLM 4.7 Flash by Zhipu AI, context windows of 500K vs 200K, tested across 20 shared challenges.
Our Verdict
Gemini 2.0 Flash Thinking
GLM 4.7 FlashRunner-up
No community votes yet. On paper, Gemini 2.0 Flash Thinking has the edge — bigger model tier, bigger context window.
Too close to call
API pricing
Cost per 1M tokens
Gemini 2.0 Flash Thinking
Input
$0.25
Output
$0.50
GLM 4.7 Flash
Input
$0.07
3.6× cheaper
Output
$0.40
1.3× cheaper
GLM 4.7 Flash is cheaper on both — 3.6× input, 1.3× output
Writing DNA
Style Comparison
Similarity
54%
GLM 4.7 Flash uses 20.4x more headings
Gemini 2.0 Flash Thinking
GLM 4.7 Flash
54%Vocabulary52%
15wSentence Length15w
0.64Hedging0.33
3.8Bold5.8
2.4Lists4.7
0.00Emoji0.00
0.03Headings0.68
0.30Transitions0.13
Based on 13 + 19 text responses
Research
What we learned reading every model
FAQ
