Seed 2.1 Evolving vs DeepSeek V3
At a Glance
| Compare | Seed 2.1 EvolvingByteDance Seed |  DeepSeek V3DeepSeek |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.2574Openrouter ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.89Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | Not reported | 164K |
| 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 2.1 Evolving | DeepSeek-V3 |
|---|---|---|
| Developer | ByteDance Seed | DeepSeek |
| Family | Seed 2 1 | Deepseek V3 |
| Model | Seed 2.1 Evolving | DeepSeek-V3 |
| Version | Seed 2.1 Evolving | DeepSeek-V3 |
| Lifecycle | active | active |
| Released | 2026-06-23 | 2024-12-26 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video | Text |
| Output modalities | Text | Text |
| Context window | Unknown | 164K |
| Total parameters | Unknown | 684.5B |
| Active parameters | Unknown | 37B |
| License | Unknown | Unknown |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Unknown | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | agents, chat, generation, reasoning, structured_outputs, tools | chat, generation |
Seed 2.1 Evolving Capabilities
DeepSeek V3 Capabilities
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Seed 2.1 EvolvingByteDance Seed | vs |  GLM-5.3Z.ai | cross-developer peerstext |
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Seed 2.1 EvolvingByteDance Seed | vs | Seed 2.1 ProByteDance Seed | family variantsimage, text, video |
Seed 2.1 EvolvingByteDance Seed | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Seed 2.1 Evolving vs DeepSeek V3 FAQs
Is Seed 2.1 Evolving or DeepSeek V3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Seed 2.1 Evolving and DeepSeek V3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Seed 2.1 Evolving or DeepSeek V3?+
Only DeepSeek V3 has a directly sourced input price: $0.2574 per million tokens. Only DeepSeek V3 has a directly sourced output price: $0.89 per million tokens.
Which has a larger context window, Seed 2.1 Evolving or DeepSeek V3?+
Neither model has a larger sourced context window in this comparison. Seed 2.1 Evolving is — and DeepSeek V3 is 164K.
Which performs better in benchmarks, Seed 2.1 Evolving or DeepSeek V3?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Seed 2.1 Evolving or DeepSeek V3 be self-hosted?+
DeepSeek V3 is the only model in this pair currently marked as self-hostable. Seed 2.1 Evolving is not marked open weight; DeepSeek V3 is open weight.
Can Seed 2.1 Evolving and DeepSeek V3 understand images?+
Seed 2.1 Evolving is documented with image input; DeepSeek V3 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Seed 2.1 Evolving or DeepSeek V3?+
Neither has a larger sourced maximum output. Seed 2.1 Evolving is — and DeepSeek V3 is —.
Do Seed 2.1 Evolving and DeepSeek V3 support reasoning and tool use?+
Seed 2.1 Evolving: reasoning, tool calling, and image input. DeepSeek V3: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Seed 2.1 Evolving or DeepSeek V3?+
Seed 2.1 Evolving has 0 sourced provider routes; DeepSeek V3 has 3, so DeepSeek V3 has broader tracked availability.
Which offers better value, Seed 2.1 Evolving or DeepSeek V3?+
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.