Compare AI models
| Specifications | ||
ParametersA rough measure of how big the model is. More parameters usually means more capable and more expensive to run, though it is a poor guide on its own — a smaller, newer model often beats a larger, older one. | 816B | — |
Context windowHow much text the model can hold in mind at once — your question, any documents you attach, the conversation so far, and its own reply. Go past it and the earliest part falls out of view. | 1M | 128k |
| These models have no shared benchmark scores. | ||
DeepSWE 1.1Agentic coding — Artificial Analysis' independent test of deep, agentic software-engineering work — the AI has to plan and carry out substantial coding tasks end to end. (Version 1.1 of the test.) Higher is better. | 60% | — |
Terminal-Bench 2.1Agentic terminal coding — Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Higher is better. | 76.4% | — |
MCP AtlasMulti-step tool use — Can the AI chain together many tools and steps to complete one bigger task, rather than doing just a single thing? Higher is better. | 89.2% | — |
JobBenchProfessional tool use — Tests the AI on professional workplace tasks that require using real work tools — the kind of multi-step jobs an office worker handles. Higher is better. | 61.8% | — |
GDPval-AA v2Knowledge work — economically valuable knowledge work (v2, re-based Elo) | 1401 | — |
| Overview | ||
| Company | Meta | OpenAI |
| Release date | Oct 15 2026 | Feb 12 2026 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Muse Spark OpenvsClaude Haiku 5.5GPT-5.3-Codex-SparkvsClaude Haiku 5.5Muse Spark OpenvsGemini 4 ArgonGPT-5.3-Codex-SparkvsGemini 4 ArgonMuse Spark OpenvsGrok 4.7GPT-5.3-Codex-SparkvsGrok 4.7Muse Spark OpenvsDeepSeek-V4.1-FlashGPT-5.3-Codex-SparkvsDeepSeek-V4.1-FlashMuse Spark OpenvsMistral Large 4GPT-5.3-Codex-SparkvsMistral Large 4Muse Spark OpenvsKimi K3GPT-5.3-Codex-SparkvsKimi K3Frequently asked questions
Muse Spark Open and GPT-5.3-Codex-Spark don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. GPT-5.3-Codex-Spark shipped 245 days before Muse Spark Open, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Muse Spark Open) vs 128k (GPT-5.3-Codex-Spark). Muse Spark Open is open weight, while GPT-5.3-Codex-Spark is closed.
Direct benchmark comparisons are unavailable — Muse Spark Open and GPT-5.3-Codex-Spark don't publish scores on any of the same benchmarks.