Llama 4 Scout 17B 16E vs Muse Spark 1.2
At a Glance
| Compare | Muse Spark 1.2Meta | |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 10,000K | Not reported |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 3, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Llama-4-Scout-17B-16E | Muse Spark 1.2 |
|---|---|---|
| Developer | Meta | Meta |
| Family | Llama 4 Scout 17b 16e | Muse Spark |
| Model | Llama-4-Scout-17B-16E | Muse Spark 1.2 |
| Version | Llama-4-Scout-17B-16E | Muse Spark 1.2 |
| Lifecycle | active | preview |
| Released | 2025-04-05 | 2026-08-05 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Video, Audio |
| Output modalities | Text | Text |
| Context window | 10,000K | Unknown |
| Total parameters | 108.6B | Unknown |
| Active parameters | 17B | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Together Ai (Standard) | Unknown |
| Capabilities | chat, generation, tools | chat, computer-use, generation, reasoning, research, structured_outputs, tools |
Llama 4 Scout 17B 16E Capabilities
Muse Spark 1.2 Capabilities
Primary Evidence
Sources and Freshness
Questions
Llama 4 Scout 17B 16E vs Muse Spark 1.2 FAQs
Is Llama 4 Scout 17B 16E or Muse Spark 1.2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 4 Scout 17B 16E and Muse Spark 1.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Llama 4 Scout 17B 16E or Muse Spark 1.2?+
Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.
Which has a larger context window, Llama 4 Scout 17B 16E or Muse Spark 1.2?+
Neither model has a larger sourced context window in this comparison. Llama 4 Scout 17B 16E is 10,000K and Muse Spark 1.2 is —.
Which performs better in benchmarks, Llama 4 Scout 17B 16E or Muse Spark 1.2?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Llama 4 Scout 17B 16E or Muse Spark 1.2 be self-hosted?+
Llama 4 Scout 17B 16E is the only model in this pair currently marked as self-hostable. Llama 4 Scout 17B 16E is open weight; Muse Spark 1.2 is not marked open weight.
Can Llama 4 Scout 17B 16E and Muse Spark 1.2 understand images?+
Llama 4 Scout 17B 16E is documented with image input; Muse Spark 1.2 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Llama 4 Scout 17B 16E or Muse Spark 1.2?+
Neither has a larger sourced maximum output. Llama 4 Scout 17B 16E is — and Muse Spark 1.2 is —.
Do Llama 4 Scout 17B 16E and Muse Spark 1.2 support reasoning and tool use?+
Llama 4 Scout 17B 16E: tool calling and image input. Muse Spark 1.2: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Llama 4 Scout 17B 16E or Muse Spark 1.2?+
Llama 4 Scout 17B 16E has 1 sourced provider route; Muse Spark 1.2 has 0, so Llama 4 Scout 17B 16E has broader tracked availability.
Which offers better value, Llama 4 Scout 17B 16E or Muse Spark 1.2?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.