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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.

  1. GPT-6 Astra ProOpenAIRemove
  2. GLM 5.3Z.AIRemove
  3. Gemini 3.1 Flash TTS PreviewGoogleRemove
gpt-6-astra-pro vs glm-5.3 vs gemini-3.1-flash-tts-preview
AttributeGPT-6 Astra Progpt-6-astra-proGLM 5.3glm-5.3Gemini 3.1 Flash TTS Previewgemini-3.1-flash-tts-preview
Pricing
Input$10.00 / 1M$1.40 / 1M$27.50 / 1M
Output$50.00 / 1M$4.40 / 1M$0 / 1M
Cache Write (5m)$10.00 / 1M$1.40 / 1MNot applicable
Cache Write (1h)$10.00 / 1M$1.40 / 1MNot applicable
Cache Read$10.00 / 1M$1.40 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M8.2K
Max outputN/AN/AN/A
Capabilities
VisionYesNoNo
Function CallingYesYesNo
JSON ModeYesYesYes
StreamingYesYesNo
Catalogue
ProviderOpenAIZ.AIGoogle
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryGPT-6 Astra Pro uses the same underlying model as GPT-6 Astra, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is well suited for demanding coding, analysis, and agentic workflows where solution quality takes priority over speed and cost.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.Gemini 3.1 Flash TTS Preview is Google's next-generation text-to-speech model, delivering a major upgrade over Gemini 2.5 Flash TTS. It converts text into natural audio across 70+ languages, with significantly expanded language coverage and improved quality. The model introduces 200+ inline audio control tags (e.g., [whispers], [laughs], [excited]) for fine-grained control over emotion, tone, and pacing, along with support for two speakers with independent voice and style settings. It outputs 24 kHz / 16-bit PCM audio, includes SynthID watermarking, and supports a 32K token context window. Designed for expressive and controllable voice generation, it is well suited for dialogue systems, storytelling, character-driven content, and advanced audio production workflows.