Seed 2.0 Lite vs DeepSeek V4 Flash Base

At a Glance

Compare
Seed 2.0 LiteByteDance Seed
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.25Openrouter · Sep 22, 2026Not reported
Output priceFrom · USD / 1M tokens$2.00Openrouter · Sep 22, 2026Not reported
Context windowMaximum documented tokensNot reported1,049K
Model facts checkedSep 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

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldSeed 2.0 LiteDeepSeek-V4-Flash-Base
DeveloperByteDance SeedDeepSeek
FamilySeed 2 0Deepseek V4 Flash Base
ModelSeed 2.0 LiteDeepSeek-V4-Flash-Base
VersionSeed 2.0 LiteDeepSeek-V4-Flash-Base
Lifecycleactiveactive
Released2026-02-142026-04-24
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, AudioText
Output modalitiesTextText
Context windowUnknown1,049K
Total parametersUnknown292B
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoYes
API availableYesUnknown
Self-hostableNoYes
Provider accessOpenrouter (Standard)Unknown
Capabilitiesagents, chat, generation, reasoning, structured_outputs, toolsgeneration

Seed 2.0 Lite Capabilities

agentschatgenerationreasoningstructured outputstools
Serving providers1
Canonical IDbytedance-seed/seed-2.0-lite

DeepSeek V4 Flash Base Capabilities

generation
Serving providers0
Canonical IDdeepseek-ai/DeepSeek-V4-Flash-Base

Primary Evidence

Sources and Freshness

Questions

Seed 2.0 Lite vs DeepSeek V4 Flash Base FAQs

Is Seed 2.0 Lite or DeepSeek V4 Flash Base better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Seed 2.0 Lite and DeepSeek V4 Flash Base, 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 Flash Base?+

Only Seed 2.0 Lite has a directly sourced input price: $0.25 per million tokens. Only Seed 2.0 Lite has a directly sourced output price: $2.00 per million tokens.

Which has a larger context window, Seed 2.0 Lite or DeepSeek V4 Flash Base?+

Neither model has a larger sourced context window in this comparison. Seed 2.0 Lite is — and DeepSeek V4 Flash Base is 1,049K.

Which performs better in benchmarks, Seed 2.0 Lite or DeepSeek V4 Flash Base?+

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 Flash Base be self-hosted?+

DeepSeek V4 Flash Base is the only model in this pair currently marked as self-hostable. Seed 2.0 Lite is not marked open weight; DeepSeek V4 Flash Base is open weight.

Can Seed 2.0 Lite and DeepSeek V4 Flash Base understand images?+

Seed 2.0 Lite is documented with image input; DeepSeek V4 Flash Base is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Seed 2.0 Lite or DeepSeek V4 Flash Base?+

Neither has a larger sourced maximum output. Seed 2.0 Lite is — and DeepSeek V4 Flash Base is —.

Do Seed 2.0 Lite and DeepSeek V4 Flash Base support reasoning and tool use?+

Seed 2.0 Lite: reasoning, tool calling, and image input. DeepSeek V4 Flash Base: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Seed 2.0 Lite or DeepSeek V4 Flash Base?+

Seed 2.0 Lite has 1 sourced provider route; DeepSeek V4 Flash Base has 0, so Seed 2.0 Lite has broader tracked availability.

Which offers better value, Seed 2.0 Lite or DeepSeek V4 Flash Base?+

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.

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