Llama 4 Scout 17B 16E Instruct vs Muse Spark 1.1
At a Glance
| Compare |  Muse Spark 1.1Meta | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.10Deepinfra ↗ · Sep 21, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.30Deepinfra ↗ · Sep 21, 2026 | Not reported |
| Context windowMaximum documented tokens | 10,000K | 1,000K |
| 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
| Benchmark | Llama-4-Scout-17B-16E-Instruct | Muse Spark 1.1 |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,279.2986% of row best · rating · llama-4-scout-17b-16e-instruct; 95% CI [1274.57681953, 1284.00026285]; votes 29740; rank 259 | 1,480.17100% of row best · rating · muse-spark-1.1; 95% CI [1475.34892554, 1484.99642998]; votes 27615; rank 15 |
| LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader | 1,117.8086% of row best · rating · llama-4-scout-17b-16e-instruct; 95% CI [1108.35603674, 1127.24229078]; votes 6466; rank 114 | 1,294.16100% of row best · rating · muse-spark-1.1; 95% CI [1286.17018729, 1302.15601223]; votes 8447; rank 21 |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 47.3259% of row best · points · Llama 4 Scout · 696 output tokens / case | 80.76100% of row best · points · Muse Spark 1.1 (thinking) · 6,037 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 2 benchmark winsNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Llama-4-Scout-17B-16E-Instruct | Muse Spark 1.1 |
|---|---|---|
| Developer | Meta | Meta |
| Family | Llama 4 Scout 17b 16e Instruct | Muse Spark |
| Model | Llama-4-Scout-17B-16E-Instruct | Muse Spark 1.1 |
| Version | Llama-4-Scout-17B-16E-Instruct | Muse Spark 1.1 |
| Lifecycle | active | preview |
| Released | 2025-04-05 | 2026-07-09 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Video, Audio |
| Output modalities | Text | Text |
| Context window | 10,000K | 1,000K |
| 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 | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Unknown |
| Capabilities | chat, generation, tools | chat, computer-use, generation, reasoning, research, structured_outputs, tools |
Llama 4 Scout 17B 16E Instruct Capabilities
Muse Spark 1.1 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Llama 4 Scout 17B 16E Instruct vs Muse Spark 1.1 FAQs
Is Llama 4 Scout 17B 16E Instruct or Muse Spark 1.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 4 Scout 17B 16E Instruct and Muse Spark 1.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Llama 4 Scout 17B 16E Instruct or Muse Spark 1.1?+
Only Llama 4 Scout 17B 16E Instruct has a directly sourced input price: $0.10 per million tokens. Only Llama 4 Scout 17B 16E Instruct has a directly sourced output price: $0.30 per million tokens.
Which has a larger context window, Llama 4 Scout 17B 16E Instruct or Muse Spark 1.1?+
Llama 4 Scout 17B 16E Instruct has the larger sourced context window. Llama 4 Scout 17B 16E Instruct supports 10,000K and Muse Spark 1.1 supports 1,000K.
Which performs better in benchmarks, Llama 4 Scout 17B 16E Instruct or Muse Spark 1.1?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Llama 4 Scout 17B 16E Instruct or Muse Spark 1.1 be self-hosted?+
Llama 4 Scout 17B 16E Instruct is the only model in this pair currently marked as self-hostable. Llama 4 Scout 17B 16E Instruct is open weight; Muse Spark 1.1 is not marked open weight.
Can Llama 4 Scout 17B 16E Instruct and Muse Spark 1.1 understand images?+
Llama 4 Scout 17B 16E Instruct is documented with image input; Muse Spark 1.1 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Llama 4 Scout 17B 16E Instruct or Muse Spark 1.1?+
Neither has a larger sourced maximum output. Llama 4 Scout 17B 16E Instruct is — and Muse Spark 1.1 is —.
Do Llama 4 Scout 17B 16E Instruct and Muse Spark 1.1 support reasoning and tool use?+
Llama 4 Scout 17B 16E Instruct: tool calling and image input. Muse Spark 1.1: 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 Instruct or Muse Spark 1.1?+
Llama 4 Scout 17B 16E Instruct has 4 sourced provider routes; Muse Spark 1.1 has 0, so Llama 4 Scout 17B 16E Instruct has broader tracked availability.
Which offers better value, Llama 4 Scout 17B 16E Instruct or Muse Spark 1.1?+
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.