Seed 2.1 Pro vs DeepSeek V4 Flash Base

Benchmark Performance

Available Benchmarks

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
ByteDance Seed · activeSeed 2.1 ProVerified Sep 3, 2026
DeepSeek · activeDeepSeek V4 Flash BaseVerified Aug 28, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldSeed 2.1 ProDeepSeek-V4-Flash-Base
DeveloperByteDance SeedDeepSeek
FamilySeed 2 1Deepseek V4 Flash Base
ModelSeed 2.1 ProDeepSeek-V4-Flash-Base
VersionSeed 2.1 ProDeepSeek-V4-Flash-Base
Lifecycleactiveactive
Released2026-06-232026-04-24
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, VideoText
Output modalitiesTextText
Context windowUnknown1,049K
Total parametersUnknown292B
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoYes
API availableYesUnknown
Self-hostableNoYes
Provider accessUnknownUnknown
Capabilitiesagents, chat, computer-use, generation, reasoning, structured_outputs, toolsgeneration

11 comparable fields · 9 material differences · Pair passes the primary-source comparison gate

Seed 2.1 Pro Capabilities

agentschatcomputer-usegenerationreasoningstructured outputstools
Input price
Output price
Serving providers0
Canonical IDbytedance-seed/seed-2.1-pro

DeepSeek V4 Flash Base Capabilities

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

Internal Comparison Graph

Related Comparisons

All text comparisons →
APairBContext
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vscross-developer peersimage, text
vscross-developer peersimage, text, video
vscross-developer peersimage, text
vscross-developer peersimage, text
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peersimage, text
vscross-developer peersimage, text

Primary Evidence

Sources and Freshness

Questions

Seed 2.1 Pro vs DeepSeek V4 Flash Base FAQs

Is Seed 2.1 Pro or DeepSeek V4 Flash Base better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Seed 2.1 Pro 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 2.1 Pro or DeepSeek V4 Flash Base?+

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 2.1 Pro or DeepSeek V4 Flash Base?+

Neither model has a larger sourced context window in this comparison. Seed 2.1 Pro is — and DeepSeek V4 Flash Base is 1,049K.

Which performs better in benchmarks, Seed 2.1 Pro 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 2.1 Pro 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 2.1 Pro is not marked open weight; DeepSeek V4 Flash Base is open weight.

Can Seed 2.1 Pro and DeepSeek V4 Flash Base understand images?+

Seed 2.1 Pro 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 2.1 Pro or DeepSeek V4 Flash Base?+

Neither has a larger sourced maximum output. Seed 2.1 Pro is — and DeepSeek V4 Flash Base is —.

Do Seed 2.1 Pro and DeepSeek V4 Flash Base support reasoning and tool use?+

Seed 2.1 Pro: 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 2.1 Pro or DeepSeek V4 Flash Base?+

Seed 2.1 Pro has 0 sourced provider routes; DeepSeek V4 Flash Base has 0, a tie.

Which offers better value, Seed 2.1 Pro 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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