GitHub[208K]Try OpenCode

Compare AI models: Qwen3.7 Max vs Gemini 4 Argon

  1. Qwen3.7 MaxAlibabaHollow points use fallbacks · hover for details
  2. Gemini 4 ArgonGoogleHollow points use fallbacks · hover for details
ReasoningCodingCost efficiencyContext windowMultimodalTool use
Normalized model capability scores
ModelReasoningCodingCost efficiencyContext windowMultimodalTool use
Qwen3.7 Max56/10093/10023/10082/1000/10050/100 — Tool calling supported; no comparable benchmark
Gemini 4 Argon50/100 — Reasoning supported; no comparable benchmark50/100 — No data; neutral placeholder9/10093/10083/10050/100 — Tool calling supported; no comparable benchmark
Overview
Author
Context length
1M
1M
Reasoning
True
True
Input modalities
Text
Text, Image, Video, Audio, Pdf
Output modalities
Text
Text
Providers
Pricing
Input
$2.50/ 1M
$4.00/ 1M
Output
$7.50/ 1M
$20/ 1M
Cached input
$0.50/ 1M
$0.20/ 1M
MomentumLast 2 mo
Unique users
52K
1
Completed sessions
89,464
21
Token share
0.01%
0%
Tokens
56B-84%
12M+100%
AUG 20OCT 14
AUG 20OCT 14
RetentionWeek 1
Returning users
51%1.7K user-weeks
Pending

Related comparisons. Other model pairs to check.