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.
- Muse Spark OpenMetaRemove
- Mistral SabaMistral AIRemove
- Gemini 4 ArgonGoogleRemove
- GPT-6.1 TerraOpenAIRemove
4 is the maximum. Remove one to add another.
| Attribute | Muse Spark Openmuse-spark-open | Mistral Sabamistral-saba | Gemini 4 Argongemini-4-argon | GPT-6.1 Terragpt-6.1-terra |
|---|---|---|---|---|
| Pricing | ||||
| Input | $1.25 / 1M | $0.20 / 1M | $2.00 / 1M | $1.00 / 1M |
| Output | $4.25 / 1M | $0.60 / 1M | $10.00 / 1M | $5.00 / 1M |
| Cache Write (5m) | $1.25 / 1M | $0.20 / 1M | $2.00 / 1M | $1.00 / 1M |
| Cache Write (1h) | $1.25 / 1M | $0.20 / 1M | $2.00 / 1M | $1.00 / 1M |
| Cache Read | $1.25 / 1M | $0.20 / 1M | $2.00 / 1M | $1.00 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 1M | 32.8K | 1M | 1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | No | Yes | Yes |
| Function Calling | Yes | No | Yes | Yes |
| JSON Mode | Yes | No | Yes | Yes |
| Streaming | Yes | No | Yes | No |
| Catalogue | ||||
| Provider | Meta | Mistral AI | OpenAI | |
| Category | chat | chat | chat | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | — | — | — |
| Description | ||||
| Summary | 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. | — | Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response. | 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. |