Skip to content

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. Codestral 2508Mistral AIRemove
  3. Gemini 3.8 FlashGoogleRemove
  4. GLM 5.3Z.AIRemove

4 is the maximum. Remove one to add another.

gpt-6-astra-pro vs codestral-2508 vs gemini-3.8-flash vs glm-5.3
AttributeGPT-6 Astra Progpt-6-astra-proCodestral 2508codestral-2508Gemini 3.8 Flashgemini-3.8-flashGLM 5.3glm-5.3
Pricing
Input$10.00 / 1M$0.45 / 1M$0.75 / 1M$1.40 / 1M
Output$50.00 / 1M$1.35 / 1M$3.75 / 1M$4.40 / 1M
Cache Write (5m)$10.00 / 1M$0.45 / 1M$0.75 / 1M$1.40 / 1M
Cache Write (1h)$10.00 / 1M$0.45 / 1M$0.75 / 1M$1.40 / 1M
Cache Read$10.00 / 1M$0.45 / 1M$0.75 / 1M$1.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M256K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesNo
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderOpenAIMistral AIGoogleZ.AI
Categorychatchatchatchat
Charge typePay As You GoPay 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.Codestral is Mistral's cutting-edge language model for coding, released in late July 2025. It is purpose-built for low-latency, high-frequency developer workflows, excelling at tasks such as fill-in-the-middle (FIM) code completion, code correction, and test generation. Optimized for responsiveness and precision, Codestral is well suited for real-time coding assistance, IDE integration, and automated development pipelines where speed and accuracy are critical.Gemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.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.