GitHub[220K]Try OpenCode

Compare AI models: Qwen3.8 Max 0902 vs Mistral Medium 3.5

  1. Qwen3.8 Max 0902AlibabaHollow points use fallbacks · hover for details
  2. Mistral Medium 3.5MistralHollow points use fallbacks · hover for details
ReasoningCodingCost efficiencyContext windowMultimodalTool use
Normalized model capability scores
ModelReasoningCodingCost efficiencyContext windowMultimodalTool use
Qwen3.8 Max 090250/100 — Reasoning supported; no comparable benchmark50/100 — No data; neutral placeholder25/10082/10067/10050/100 — Tool calling supported; no comparable benchmark
Mistral Medium 3.550/100 — Reasoning supported; no comparable benchmark65/10023/10064/10033/10050/100 — Tool calling supported; no comparable benchmark
Overview
Author
Context length
1M
262K
Reasoning
True
True
Input modalities
Text, Image, Video, Pdf
Text, Image
Output modalities
Text
Text
Providers
Pricing
Input
$2.00/ 1M
$1.50/ 1M
Output
$6.00/ 1M
$7.50/ 1M
Cached input
$0.25/ 1M
$0.15/ 1M
MomentumLast 2 mo
Unique users
No usage
No usage
Completed sessions
No usage
No usage
Token share
No usage
No usage
Tokens
No usage
No usage
No trend data
No trend data
RetentionWeek 1
Returning users
Pending
Pending

Related comparisons. Other model pairs to check.