Seed 2.0 Lite vs DeepSeek V4.1 Flash
At a Glance
| Compare | Seed 2.0 LiteByteDance Seed |  DeepSeek V4.1 FlashDeepSeek |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #5 of 44$0.022 per LiveBench case |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.25Openrouter ↗ · Sep 22, 2026 | $0.15DeepSeek ↗ · Sep 10, 2026 |
| Output priceFrom · USD / 1M tokens | $2.00Openrouter ↗ · Sep 22, 2026 | $0.60Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | Not reported | 1,049K |
| Model facts checked | Sep 3, 2026View model evidence → | Sep 10, 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 Lite | DeepSeek-V4.1-Flash |
|---|---|---|
| Developer | ByteDance Seed | DeepSeek |
| Family | Seed 2 0 | Deepseek V4 1 |
| Model | Seed 2.0 Lite | DeepSeek-V4.1-Flash |
| Version | Seed 2.0 Lite | DeepSeek-V4.1-Flash |
| Lifecycle | active | active |
| Released | 2026-02-14 | 2026-09-10 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio | Text, Image |
| Output modalities | Text | Text |
| Context window | Unknown | 1,049K |
| Total parameters | Unknown | 763.2B |
| Active parameters | Unknown | Unknown |
| License | Unknown | mit |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Openrouter (Standard) | DeepSeek (Standard), Deepinfra (Standard), Together Ai (Standard) |
| Capabilities | agents, chat, generation, reasoning, structured_outputs, tools | agents, chat, fim, generation, reasoning, responses, structured_outputs, tools, vision |
| Architecture design | Unknown | Causal Encoder-Decoder (20 encoder + 20 decoder layers) |
| Backbone parameters | Unknown | 552000000000 parameters |
| Active parameters during decode | Unknown | 16000000000 parameters |
| Active parameters during prefill | Unknown | 8000000000 parameters |
| Pre-training corpus | Unknown | 45000000000000 tokens |
| Reasoning effort range | Unknown | 1–100 |
| Routed experts per MoE layer | Unknown | 384 experts |
| Routed experts per token | Unknown | 6 experts |
| Transformer layers | Unknown | 40 layers |
Seed 2.0 Lite Capabilities
DeepSeek V4.1 Flash Capabilities
Related Comparisons
All image comparisons →| A | Pair | B | Context |
|---|---|---|---|
Seed 2.0 LiteByteDance Seed | vs | DeepSeek-V4-FlashDeepSeek | cross-developer peerstext |
Seed 2.0 LiteByteDance Seed | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Seed 2.0 LiteByteDance Seed | cross-developer peersimage, text |
Seed 2.0 LiteByteDance Seed | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Seed 2.0 LiteByteDance Seed | vs | Grok 4.6xAI | cross-developer peersimage, text |
Seed 2.0 LiteByteDance Seed | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text, video |
Seed 2.0 LiteByteDance Seed | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Seed 2.0 LiteByteDance Seed | cross-developer peersimage, text |
Seed 2.0 LiteByteDance Seed | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Seed 2.0 LiteByteDance Seed | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.0 LiteByteDance Seed | vs | Seed 2.1 ProByteDance Seed | family variantsimage, text, video |
Seed 2.0 LiteByteDance Seed | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Seed 2.0 Lite vs DeepSeek V4.1 Flash FAQs
Is Seed 2.0 Lite or DeepSeek V4.1 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Seed 2.0 Lite and DeepSeek V4.1 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Seed 2.0 Lite or DeepSeek V4.1 Flash?+
Seed 2.0 Lite is $0.25 and DeepSeek V4.1 Flash is $0.15 per million tokens, so DeepSeek V4.1 Flash is cheaper on this metric. Seed 2.0 Lite is $2.00 and DeepSeek V4.1 Flash is $0.60 per million tokens, so DeepSeek V4.1 Flash is cheaper on this metric.
Which has a larger context window, Seed 2.0 Lite or DeepSeek V4.1 Flash?+
Neither model has a larger sourced context window in this comparison. Seed 2.0 Lite is — and DeepSeek V4.1 Flash is 1,049K.
Which performs better in benchmarks, Seed 2.0 Lite or DeepSeek V4.1 Flash?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Seed 2.0 Lite or DeepSeek V4.1 Flash be self-hosted?+
DeepSeek V4.1 Flash is the only model in this pair currently marked as self-hostable. Seed 2.0 Lite is not marked open weight; DeepSeek V4.1 Flash is open weight.
Can Seed 2.0 Lite and DeepSeek V4.1 Flash understand images?+
Seed 2.0 Lite is documented with image input; DeepSeek V4.1 Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Seed 2.0 Lite or DeepSeek V4.1 Flash?+
Neither has a larger sourced maximum output. Seed 2.0 Lite is — and DeepSeek V4.1 Flash is 393K.
Do Seed 2.0 Lite and DeepSeek V4.1 Flash support reasoning and tool use?+
Seed 2.0 Lite: reasoning, tool calling, and image input. DeepSeek V4.1 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Seed 2.0 Lite or DeepSeek V4.1 Flash?+
Seed 2.0 Lite has 1 sourced provider route; DeepSeek V4.1 Flash has 3, so DeepSeek V4.1 Flash has broader tracked availability.
Which offers better value, Seed 2.0 Lite or DeepSeek V4.1 Flash?+
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.