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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. Gemma 4 31B (Free)GoogleRemove
  2. Muse Spark OpenMetaRemove
  3. GPT-6.1 TerraOpenAIRemove
gemma-4-31b-it:free vs muse-spark-open vs gpt-6.1-terra
AttributeGemma 4 31B (Free)gemma-4-31b-it:freeMuse Spark Openmuse-spark-openGPT-6.1 Terragpt-6.1-terra
Pricing
Input$0 / 1M$1.25 / 1M$1.00 / 1M
Output$0 / 1M$4.25 / 1M$5.00 / 1M
Cache Write$0 / 1M——
Cache Read$0 / 1M$1.25 / 1M$1.00 / 1M
Cache Write (5m)—$1.25 / 1M$1.00 / 1M
Cache Write (1h)—$1.25 / 1M$1.00 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max context262.1K1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesNo
Catalogue
ProviderGoogleMetaOpenAI
Categorychatchatchat
Charge typeFreePay As You GoPay As You Go
Released———
Description
SummaryGemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model, supporting text and image inputs with text outputs. It features a 256K token context window, configurable thinking/reasoning modes, native function calling, and broad multilingual support across 140+ languages. The model delivers strong performance in coding, reasoning, and document understanding, making it well suited for developer workflows, multilingual applications, and structured knowledge tasks.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.GPT-6.1 Terra is OpenAI’s mid-tier model in the GPT-6.1 series, designed to balance capability, speed, and cost efficiency. Positioned below GPT-6.1 Sol, it delivers strong performance across everyday agentic workflows, coding, and professional writing, with particular strengths in screenshot understanding and on-screen content analysis. Optimized for high-volume production workloads, GPT-6.1 Terra is well suited for coding assistants, visual interface analysis, workflow automation, and scalable agentic applications that require reliable performance at an accessible cost.