Seed 1.8 vs DeepSeek V4 Flash Vision Exp
At a Glance
| Compare | Seed 1.8ByteDance Seed |  DeepSeek V4 Flash Vision ExpDeepSeek |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.22DeepSeek ↗ · Sep 2, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.66DeepSeek ↗ · Sep 2, 2026 |
| Context windowMaximum documented tokens | Not reported | 1,049K |
| Model facts checked | Sep 3, 2026View model evidence → | Sep 2, 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 1.8 | DeepSeek-V4-Flash-Vision-Exp |
|---|---|---|
| Developer | ByteDance Seed | DeepSeek |
| Family | Seed 1 8 | Deepseek V4 Flash Vision Exp |
| Model | Seed 1.8 | DeepSeek-V4-Flash-Vision-Exp |
| Version | Seed 1.8 | DeepSeek-V4-Flash-Vision-Exp |
| Lifecycle | active | retired |
| Released | Unknown | 2026-08-21 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | Unknown | 1,049K |
| Total parameters | Unknown | 304.6B |
| Active parameters | Unknown | Unknown |
| License | Unknown | mit |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Unknown | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, structured_outputs, tools |
Seed 1.8 Capabilities
DeepSeek V4 Flash Vision Exp Capabilities
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Primary Evidence
Sources and Freshness
Questions
Seed 1.8 vs DeepSeek V4 Flash Vision Exp FAQs
Is Seed 1.8 or DeepSeek V4 Flash Vision Exp better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Seed 1.8 and DeepSeek V4 Flash Vision Exp, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Seed 1.8 or DeepSeek V4 Flash Vision Exp?+
Only DeepSeek V4 Flash Vision Exp has a directly sourced input price: $0.22 per million tokens. Only DeepSeek V4 Flash Vision Exp has a directly sourced output price: $0.66 per million tokens.
Which has a larger context window, Seed 1.8 or DeepSeek V4 Flash Vision Exp?+
Neither model has a larger sourced context window in this comparison. Seed 1.8 is — and DeepSeek V4 Flash Vision Exp is 1,049K.
Which performs better in benchmarks, Seed 1.8 or DeepSeek V4 Flash Vision Exp?+
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 DeepSeek V4 Flash Vision Exp be self-hosted?+
DeepSeek V4 Flash Vision Exp is the only model in this pair currently marked as self-hostable. Seed 1.8 is not marked open weight; DeepSeek V4 Flash Vision Exp is open weight.
Can Seed 1.8 and DeepSeek V4 Flash Vision Exp understand images?+
Seed 1.8 is documented with image input; DeepSeek V4 Flash Vision Exp is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Seed 1.8 or DeepSeek V4 Flash Vision Exp?+
Neither has a larger sourced maximum output. Seed 1.8 is — and DeepSeek V4 Flash Vision Exp is 393K.
Do Seed 1.8 and DeepSeek V4 Flash Vision Exp support reasoning and tool use?+
Seed 1.8: reasoning, tool calling, and image input. DeepSeek V4 Flash Vision Exp: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Seed 1.8 or DeepSeek V4 Flash Vision Exp?+
Seed 1.8 has 0 sourced provider routes; DeepSeek V4 Flash Vision Exp has 3, so DeepSeek V4 Flash Vision Exp has broader tracked availability.
Which offers better value, Seed 1.8 or DeepSeek V4 Flash Vision Exp?+
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.