Seed 2.0 Mini vs Llama 3.1 8B Instruct
At a Glance
| Compare | Seed 2.0 MiniByteDance Seed | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.10Openrouter ↗ · Sep 22, 2026 | $0.050Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $0.40Openrouter ↗ · Sep 22, 2026 | $0.080Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | Not reported | 131K |
| Model facts checked | Sep 3, 2026View model evidence → | Aug 28, 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 | Seed 2.0 Mini | Llama-3.1-8B-Instruct |
|---|---|---|
| Developer | ByteDance Seed | Meta |
| Family | Seed 2 0 | Llama 3 1 8b Instruct |
| Model | Seed 2.0 Mini | Llama-3.1-8B-Instruct |
| Version | Seed 2.0 Mini | Llama-3.1-8B-Instruct |
| Lifecycle | active | active |
| Released | 2026-02-14 | 2024-07-23 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video | Text |
| Output modalities | Text | Text |
| Context window | Unknown | 131K |
| Total parameters | Unknown | 8B |
| Active parameters | Unknown | Unknown |
| License | Unknown | llama3.1 |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Openrouter (Standard) | Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | agents, chat, generation, reasoning, structured_outputs, tools | chat, generation, tools |
Seed 2.0 Mini Capabilities
Llama 3.1 8B Instruct Capabilities
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Primary Evidence
Sources and Freshness
Questions
Seed 2.0 Mini vs Llama 3.1 8B Instruct FAQs
Is Seed 2.0 Mini or Llama 3.1 8B Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Seed 2.0 Mini and Llama 3.1 8B Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Seed 2.0 Mini or Llama 3.1 8B Instruct?+
Seed 2.0 Mini is $0.10 and Llama 3.1 8B Instruct is $0.050 per million tokens, so Llama 3.1 8B Instruct is cheaper on this metric. Seed 2.0 Mini is $0.40 and Llama 3.1 8B Instruct is $0.080 per million tokens, so Llama 3.1 8B Instruct is cheaper on this metric.
Which has a larger context window, Seed 2.0 Mini or Llama 3.1 8B Instruct?+
Neither model has a larger sourced context window in this comparison. Seed 2.0 Mini is — and Llama 3.1 8B Instruct is 131K.
Which performs better in benchmarks, Seed 2.0 Mini or Llama 3.1 8B Instruct?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Seed 2.0 Mini or Llama 3.1 8B Instruct be self-hosted?+
Llama 3.1 8B Instruct is the only model in this pair currently marked as self-hostable. Seed 2.0 Mini is not marked open weight; Llama 3.1 8B Instruct is open weight.
Can Seed 2.0 Mini and Llama 3.1 8B Instruct understand images?+
Seed 2.0 Mini is documented with image input; Llama 3.1 8B Instruct is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Seed 2.0 Mini or Llama 3.1 8B Instruct?+
Neither has a larger sourced maximum output. Seed 2.0 Mini is — and Llama 3.1 8B Instruct is —.
Do Seed 2.0 Mini and Llama 3.1 8B Instruct support reasoning and tool use?+
Seed 2.0 Mini: reasoning, tool calling, and image input. Llama 3.1 8B Instruct: tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Seed 2.0 Mini or Llama 3.1 8B Instruct?+
Seed 2.0 Mini has 1 sourced provider route; Llama 3.1 8B Instruct has 2, so Llama 3.1 8B Instruct has broader tracked availability.
Which offers better value, Seed 2.0 Mini or Llama 3.1 8B Instruct?+
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.