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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. Hy4 previewTencentRemove
  2. GLM 5.3Z.AIRemove
  3. Transcribe 1 ProFish AudioRemove
  4. DeepSeek V4.1 Flash 1017DeepSeekRemove

4 is the maximum. Remove one to add another.

hy4-preview vs glm-5.3 vs transcribe-1-pro vs deepseek-v4.1-flash-1017
AttributeHy4 previewhy4-previewGLM 5.3glm-5.3Transcribe 1 Protranscribe-1-proDeepSeek V4.1 Flash 1017deepseek-v4.1-flash-1017
Pricing
Input$0.834 / 1M$1.40 / 1M— Not priced per input token$0.10 / 1M
Output$2.50 / 1M$4.40 / 1M— Not priced per output token$0.50 / 1M
Cache Write (5m)$0.834 / 1M$1.40 / 1MNot applicable$0.10 / 1M
Cache Write (1h)$0.834 / 1M$1.40 / 1MNot applicable$0.10 / 1M
Cache Read$0.834 / 1M$1.40 / 1MNot applicable$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1MN/A1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoYes
Function CallingYesYesNoYes
JSON ModeYesYesNoYes
StreamingYesYesNoYes
Catalogue
ProviderTencentZ.AIFish AudioDeepSeek
Categorychatchatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released——2026-09-24—
Description
SummaryTencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek’s cost-efficient Mixture-of-Experts (MoE) model, built on its innovative Causal Encoder-Decoder (CED) architecture. Featuring 552B total parameters with 8B activated for input and 16B for output, it combines efficient inference with native multimodal understanding through jointly trained text and visual representations. Optimized for coding, terminal and computer-use agents, and long-horizon workflows, the model introduces compressed KV caching that reduces cache memory usage to approximately one-quarter of the previous Flash generation. DeepSeek reports that it surpasses V4 Pro in performance, inference speed, and task completion time, making it well suited for cost-efficient autonomous agents, complex software engineering, and long-context analysis.