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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. Qwen3.6-35B-A3BAlibabaRemove
  2. Gemini 3.1 Flash Lite Image (Google Vertex AI)GoogleRemove
qwen3.6-35b-a3b vs gemini-3.1-flash-lite-image-vertex
AttributeQwen3.6-35B-A3Bqwen3.6-35b-a3bGemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertex
Pricing
Input$5.40 / 1M—
Output$32.40 / 1M—
Cache Write (5m)$5.40 / 1MNot applicable
Cache Write (1h)$5.40 / 1MNot applicable
Cache Read$5.40 / 1MNot applicable
Web Search$0 / 1M—
Request—$0.0336 / request
Billing—Pay Per Request
Context
Max context262.1KN/A
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesNo
JSON ModeYesNo
StreamingYesNo
Catalogue
ProviderAlibabaGoogle
Categorychatimage
Charge typePay As You GoPay Per Request
Released——
Description
SummaryQwen3.6-35B-A3B is an open-weight Mixture-of-Experts (MoE) multimodal model designed for agentic coding and long-horizon workflows. It features ~35–36B total parameters with ~3B activated per token, enabling strong performance with high inference efficiency. The model supports text and image inputs with a ~260K token context window, and is optimized for repository-level reasoning, multi-step development, and tool-driven workflows. With strong benchmark performance and improved coherence across extended tasks, Qwen3.6-35B-A3B is well suited for developer tools, coding agents, and real-world engineering applications that require both reasoning depth and efficiency.Gemini 3.1 Flash Lite Image served from Google Vertex AI. Billed per image at US$0.0336. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 1K. A request for a larger size returns a 1K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size.