Seed 1.8 vs Seed 2.1 Turbo
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Seed 1.8 | Seed 2.1 Turbo |
|---|---|---|
| Developer | ByteDance Seed | ByteDance Seed |
| Family | Seed 1 8 | Seed 2 1 |
| Model | Seed 1.8 | Seed 2.1 Turbo |
| Version | Seed 1.8 | Seed 2.1 Turbo |
| Lifecycle | active | active |
| Released | Unknown | 2026-06-23 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | Unknown | Unknown |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Unknown | Unknown |
| Capabilities | chat, generation, reasoning, tools | agents, chat, generation, reasoning, structured_outputs, tools |
11 comparable fields · 5 material differences · Pair passes the primary-source comparison gate
Seed 1.8 Capabilities
Seed 2.1 Turbo Capabilities
Internal Comparison Graph
Related Comparisons
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|---|---|---|---|
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Seed 2.1 TurboByteDance Seed | vs |  Qwen3.7 MaxQwen | cross-developer peersimage, text, video |
Seed 2.1 TurboByteDance Seed | vs | Qwen3 VL FlashQwen | cross-developer peersimage, text, video |
Seed 2.1 TurboByteDance Seed | vs |  Gemma 4 E4BGoogle DeepMind | cross-developer peersimage, text, video |
Seed 1.8ByteDance Seed | vs | Seed 2.0 MiniByteDance Seed | family variantsimage, text |
Seed 1.8ByteDance Seed | vs | Seed 2.1 ProByteDance Seed | family variantsimage, text |
Seed 1.8ByteDance Seed | vs | Seed 2.1 EvolvingByteDance Seed | family variantsimage, text |
Seed 2.1 TurboByteDance Seed | vs |  GPT-5OpenAI | cross-developer peersimage, text |
Claude Opus 4.5Anthropic | vs | Seed 1.8ByteDance Seed | cross-developer peersimage, text |
Claude Opus 4.7Anthropic | vs | Seed 1.8ByteDance Seed | cross-developer peersimage, text |
Claude Sonnet 4.5Anthropic | vs | Seed 1.8ByteDance Seed | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Seed 1.8 vs Seed 2.1 Turbo FAQs
Is Seed 1.8 or Seed 2.1 Turbo better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Seed 1.8 and Seed 2.1 Turbo, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Seed 1.8 or Seed 2.1 Turbo?+
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 Seed 2.1 Turbo?+
Neither model has a larger sourced context window in this comparison. Seed 1.8 is — and Seed 2.1 Turbo is —.
Which performs better in benchmarks, Seed 1.8 or Seed 2.1 Turbo?+
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 Seed 2.1 Turbo be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Seed 1.8 is not marked open weight; Seed 2.1 Turbo is not marked open weight.
Can Seed 1.8 and Seed 2.1 Turbo understand images?+
Seed 1.8 is documented with image input; Seed 2.1 Turbo is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Seed 1.8 or Seed 2.1 Turbo?+
Neither has a larger sourced maximum output. Seed 1.8 is — and Seed 2.1 Turbo is —.
Do Seed 1.8 and Seed 2.1 Turbo support reasoning and tool use?+
Seed 1.8: reasoning, tool calling, and image input. Seed 2.1 Turbo: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Seed 1.8 or Seed 2.1 Turbo?+
Seed 1.8 has 0 sourced provider routes; Seed 2.1 Turbo has 0, a tie.
Which offers better value, Seed 1.8 or Seed 2.1 Turbo?+
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.