Seed 1.8 vs Llama-4-Scout-17B-16E
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Seed 1.8 | Llama-4-Scout-17B-16E |
|---|---|---|
| Developer | ByteDance Seed | Meta |
| Family | Seed 1 8 | Llama 4 Scout 17b 16e |
| Model | Seed 1.8 | Llama-4-Scout-17B-16E |
| Version | Seed 1.8 | Llama-4-Scout-17B-16E |
| Lifecycle | active | active |
| Released | Unknown | 2025-04-05 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | Unknown | 10,000,000 |
| Total parameters | Unknown | 108,641,793,536 |
| Active parameters | Unknown | 17,000,000,000 |
| License | Unknown | other |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Unknown | Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, tools |
11 comparable fields · 7 material differences · Pair passes the primary-source comparison gate
Seed 1.8 Capabilities
Llama-4-Scout-17B-16E Capabilities
Internal Comparison Graph
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Seed 1.8ByteDance Seed | vs |  Gemma 4 12BGoogle Deepmind | cross-developer peersimage, text |
Seed 1.8ByteDance Seed | vs | Gemma 4 E2BGoogle Deepmind | cross-developer peersimage, text |
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Seed 1.8ByteDance Seed | vs |  o3-proOpenai | cross-developer peersimage, text |
| vs |  Mistral-Small-4-119B-2603Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Seed 1.8 vs Llama-4-Scout-17B-16E FAQs
Is Seed 1.8 or Llama-4-Scout-17B-16E better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Seed 1.8 and Llama-4-Scout-17B-16E, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Seed 1.8 or Llama-4-Scout-17B-16E?+
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, Seed 1.8 or Llama-4-Scout-17B-16E?+
Neither model has a larger sourced context window in this comparison. Seed 1.8 is — and Llama-4-Scout-17B-16E is 10,000,000.
Which performs better in benchmarks, Seed 1.8 or Llama-4-Scout-17B-16E?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Seed 1.8 or Llama-4-Scout-17B-16E be self-hosted?+
Llama-4-Scout-17B-16E is the only model in this pair currently marked as self-hostable. Seed 1.8 is not marked open weight; Llama-4-Scout-17B-16E is open weight.
Can Seed 1.8 and Llama-4-Scout-17B-16E understand images?+
Seed 1.8 is documented with image input; Llama-4-Scout-17B-16E is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Seed 1.8 or Llama-4-Scout-17B-16E?+
Neither has a larger sourced maximum output. Seed 1.8 is — and Llama-4-Scout-17B-16E is —.
Do Seed 1.8 and Llama-4-Scout-17B-16E support reasoning and tool use?+
Seed 1.8: reasoning, tool calling, and image input. Llama-4-Scout-17B-16E: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Seed 1.8 or Llama-4-Scout-17B-16E?+
Seed 1.8 has 0 sourced provider routes; Llama-4-Scout-17B-16E has 1, so Llama-4-Scout-17B-16E has broader tracked availability.
Which offers better value, Seed 1.8 or Llama-4-Scout-17B-16E?+
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.