Compare models

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

Qwen3.8 27BAlibaba Remove
Gemini 4 ArgonGoogle Remove
Muse Spark OpenMeta Remove
Transcribe 1 ProFish Audio Remove

4 is the maximum. Remove one to add another.

qwen3.8-27b vs gemini-4-argon vs muse-spark-open vs transcribe-1-pro
Attribute	Qwen3.8 27Bqwen3.8-27b	Gemini 4 Argongemini-4-argon	Muse Spark Openmuse-spark-open	Transcribe 1 Protranscribe-1-pro
Pricing
Input	$0.45 / 1M	$2.00 / 1M	$1.25 / 1M	— Not priced per input token
Output	$3.20 / 1M	$10.00 / 1M	$4.25 / 1M	— Not priced per output token
Cache Write (5m)	$0.45 / 1M	$2.00 / 1M	$1.25 / 1M	Not applicable
Cache Write (1h)	$0.45 / 1M	$2.00 / 1M	$1.25 / 1M	Not applicable
Cache Read	$0.45 / 1M	$2.00 / 1M	$1.25 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	262K	1M	1M	N/A
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	Yes	No
Function Calling	Yes	Yes	Yes	No
JSON Mode	Yes	Yes	Yes	No
Streaming	Yes	Yes	Yes	No
Catalogue
Provider	Alibaba	Google	Meta	Fish Audio
Category	chat	chat	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	—	2026-09-24
Description
Summary	Qwen3.8 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.	Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.	Muse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.