DeepSeek V4 Flash Base vs Jev

At a Glance

Compare
JevTypeSafe
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.042TypeSafe · Sep 17, 2026
Output priceFrom · USD / 1M tokensNot reported$0.000TypeSafe · Sep 17, 2026
Context windowMaximum documented tokens1,049K64K
Model facts checkedAug 28, 2026View model evidence →Sep 17, 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

FieldDeepSeek-V4-Flash-BaseJev
DeveloperDeepSeekTypeSafe
FamilyDeepseek V4 Flash BaseJev
ModelDeepSeek-V4-Flash-BaseJev
VersionDeepSeek-V4-Flash-BaseJev
Lifecycleactiveactive
Released2026-04-242026-09-15
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Model-specific input
Output modalitiesTextModel-specific input
Context window1,049K64K
Total parameters292BUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsYesNo
API availableUnknownYes
Self-hostableYesNo
Provider accessUnknownTypeSafe (Standard)
Capabilitiesgenerationcalibrated-confidence, parallel-evaluation, structured_outputs, typed-decisions
Maximum Choice cardinalityUnknown255 options
Default request rate limitUnknown1200 requests per minute
State plus longest question limitUnknown32000 tokens
Combined state and questions limitUnknown64000 tokens
Default token rate limitUnknown250000 tokens per second

DeepSeek V4 Flash Base Capabilities

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

Jev Capabilities

calibrated-confidenceparallel-evaluationstructured outputstyped-decisions
Serving providers1
Canonical IDtypesafe/jev

Primary Evidence

Sources and Freshness

Questions

DeepSeek V4 Flash Base vs Jev FAQs

Is DeepSeek V4 Flash Base or Jev better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Flash Base and Jev, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, DeepSeek V4 Flash Base or Jev?+

Only Jev has a directly sourced input price: $0.042 per million tokens. Only Jev has a directly sourced output price: $0.000 per million tokens.

Which has a larger context window, DeepSeek V4 Flash Base or Jev?+

DeepSeek V4 Flash Base has the larger sourced context window. DeepSeek V4 Flash Base supports 1,049K and Jev supports 64K.

Which performs better in benchmarks, DeepSeek V4 Flash Base or Jev?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can DeepSeek V4 Flash Base or Jev be self-hosted?+

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

Can DeepSeek V4 Flash Base and Jev understand images?+

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

Which can generate longer answers, DeepSeek V4 Flash Base or Jev?+

Neither has a larger sourced maximum output. DeepSeek V4 Flash Base is — and Jev is —.

Do DeepSeek V4 Flash Base and Jev support reasoning and tool use?+

DeepSeek V4 Flash Base: none of these features are definitively sourced. Jev: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, DeepSeek V4 Flash Base or Jev?+

DeepSeek V4 Flash Base has 0 sourced provider routes; Jev has 1, so Jev has broader tracked availability.

Which offers better value, DeepSeek V4 Flash Base or Jev?+

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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