DeepSeek V4 Flash Base vs Sonar Reasoning Pro

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$2.00Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokensNot reported$8.00Openrouter · Sep 22, 2026
Context windowMaximum documented tokens1,049K128K
Model facts checkedAug 28, 2026View model evidence →Aug 29, 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-BaseSonar Reasoning Pro
DeveloperDeepSeekPerplexity
FamilyDeepseek V4 Flash BaseSonar
ModelDeepSeek-V4-Flash-BaseSonar Reasoning Pro
VersionDeepSeek-V4-Flash-BaseSonar Reasoning Pro
Lifecycleactiveactive
Released2026-04-24Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window1,049K128K
Total parameters292BUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsYesNo
API availableUnknownYes
Self-hostableYesNo
Provider accessUnknownOpenrouter (Standard), Perplexity (Standard)
Capabilitiesgenerationchat, citations, reasoning, search

DeepSeek V4 Flash Base Capabilities

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

Sonar Reasoning Pro Capabilities

chatcitationsreasoningsearch
Serving providers2
Canonical IDperplexity/sonar-reasoning-pro

Primary Evidence

Sources and Freshness

Questions

DeepSeek V4 Flash Base vs Sonar Reasoning Pro FAQs

Is DeepSeek V4 Flash Base or Sonar Reasoning Pro better for coding?+

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

Which is cheaper, DeepSeek V4 Flash Base or Sonar Reasoning Pro?+

Only Sonar Reasoning Pro has a directly sourced input price: $2.00 per million tokens. Only Sonar Reasoning Pro has a directly sourced output price: $8.00 per million tokens.

Which has a larger context window, DeepSeek V4 Flash Base or Sonar Reasoning Pro?+

DeepSeek V4 Flash Base has the larger sourced context window. DeepSeek V4 Flash Base supports 1,049K and Sonar Reasoning Pro supports 128K.

Which performs better in benchmarks, DeepSeek V4 Flash Base or Sonar Reasoning Pro?+

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 Sonar Reasoning Pro 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; Sonar Reasoning Pro is not marked open weight.

Can DeepSeek V4 Flash Base and Sonar Reasoning Pro understand images?+

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

Which can generate longer answers, DeepSeek V4 Flash Base or Sonar Reasoning Pro?+

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

Do DeepSeek V4 Flash Base and Sonar Reasoning Pro support reasoning and tool use?+

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

Which is available from more inference providers, DeepSeek V4 Flash Base or Sonar Reasoning Pro?+

DeepSeek V4 Flash Base has 0 sourced provider routes; Sonar Reasoning Pro has 2, so Sonar Reasoning Pro has broader tracked availability.

Which offers better value, DeepSeek V4 Flash Base or Sonar Reasoning Pro?+

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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