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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. Codestral 2508Mistral AIRemove
  2. Hy4 previewTencentRemove
  3. Muse Spark 1.3MetaRemove
  4. Gemini 3.8 FlashGoogleRemove

4 is the maximum. Remove one to add another.

codestral-2508 vs hy4-preview vs muse-spark-1.3 vs gemini-3.8-flash
AttributeCodestral 2508codestral-2508Hy4 previewhy4-previewMuse Spark 1.3muse-spark-1.3Gemini 3.8 Flashgemini-3.8-flash
Pricing
Input$0.45 / 1M$0.834 / 1M$1.25 / 1M$0.75 / 1M
Output$1.35 / 1M$2.50 / 1M$4.25 / 1M$3.75 / 1M
Cache Write (5m)$0.45 / 1M$0.834 / 1M$1.25 / 1M$0.75 / 1M
Cache Write (1h)$0.45 / 1M$0.834 / 1M$1.25 / 1M$0.75 / 1M
Cache Read$0.45 / 1M$0.834 / 1M$1.25 / 1M$0.75 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context256K1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderMistral AITencentMetaGoogle
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryCodestral 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.Tencent 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.Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.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.