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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 27BAlibabaRemove
  2. Transcribe 1 ProFish AudioRemove
  3. Gemini 3.1 Flash Lite Image (Google AI Studio)GoogleEnterprise & partner accessRemove
qwen3.8-27b vs transcribe-1-pro vs gemini-3.1-flash-lite-image-aistudio
AttributeQwen3.8 27Bqwen3.8-27bTranscribe 1 Protranscribe-1-proGemini 3.1 Flash Lite Image (Google AI Studio)gemini-3.1-flash-lite-image-aistudio
Pricing
Input$0.45 / 1M— Not priced per input token—
Output$3.20 / 1M— Not priced per output token—
Cache Write (5m)$0.45 / 1MNot applicableNot applicable
Cache Write (1h)$0.45 / 1MNot applicableNot applicable
Cache Read$0.45 / 1MNot applicableNot applicable
Web Search$0 / 1M$0 / 1M—
Request——$0.0336 / request
Billing——Pay Per Request
Context
Max context262KN/AN/A
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoNo
JSON ModeYesNoNo
StreamingYesNoNo
Catalogue
ProviderAlibabaFish AudioGoogle
Categorychatvoiceimage
Charge typePay As You GoPay As You GoPay Per Request
Released—2026-09-24—
Description
SummaryQwen3.8 27B is an open-weight dense vision-language model from Qwen, designed for coding, professional knowledge work, research, and multimodal interaction. It combines strong text and visual understanding with capabilities optimized for sustained, real-world agentic tasks. The model supports flexible thinking modes that can be enabled for deeper reasoning or disabled for faster execution, making it well suited for long-running agents, multimodal workflows, coding assistants, and cost-conscious self-hosted deployments.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.Gemini 3.1 Flash Lite Image served from Google AI Studio. 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.