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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Qwen3.8 2.4T A95BAlibabaRemove
  2. Gemini 3.7 FlashGoogleRemove
qwen3.8-2.4t-a95b vs gemini-3.7-flash
AttributeQwen3.8 2.4T A95Bqwen3.8-2.4t-a95bGemini 3.7 Flashgemini-3.7-flash
Pricing
Input$1.80 / 1M$0.375 / 1M
Output$5.40 / 1M$1.88 / 1M
Cache Write (5m)$1.80 / 1M$0.375 / 1M
Cache Write (1h)$1.80 / 1M$0.375 / 1M
Cache Read$1.80 / 1M$0.375 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context262K1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderAlibabaGoogle
Categorychatchat
Charge typePay As You GoPay As You Go
Released
Description
SummaryQwen3.8 2.4T A95B is Qwen's open-weight sparse Mixture-of-Experts (MoE) model and the open-weight counterpart to Qwen3.8 Max. It features 2.4T total parameters with 95B activated per token, combining frontier-scale capacity with efficient sparse inference. Designed for coding, research, complex reasoning, and agentic workflows, the model is well suited for demanding long-horizon tasks and advanced autonomous systems while providing the flexibility and customization benefits of open weights.Gemini 3.7 Flash is Google's fast multimodal model designed for agentic workflows, coding, and complex multi-step reasoning. It combines responsive inference with reliable problem-solving capabilities, making it well suited for interactive and production-scale applications. Optimized for speed and dependable multi-step execution, Gemini 3.7 Flash is a strong choice for coding assistants, autonomous agents, and high-throughput workflows that require both low latency and capable reasoning.