DeepSeek-R1 vs DeepSeek-V4-Flash-Vision-Exp

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
DeepSeek · activeDeepSeek-R1Verified Aug 28, 2026
DeepSeek · previewDeepSeek-V4-Flash-Vision-ExpVerified Sep 2, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldDeepSeek-R1DeepSeek-V4-Flash-Vision-Exp
DeveloperDeepSeekDeepSeek
FamilyDeepseek R1Deepseek V4 Flash Vision Exp
ModelDeepSeek-R1DeepSeek-V4-Flash-Vision-Exp
VersionDeepSeek-R1DeepSeek-V4-Flash-Vision-Exp
Lifecycleactivepreview
Released2025-01-202026-08-21
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesTextText
Context window163,8401,048,576
Total parameters684,531,386,000304,646,824,126
Active parameters37,000,000,000Unknown
Licensemitmit
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessOpenrouter (Standard)DeepSeek (Standard)
Capabilitieschat, generation, reasoningchat, generation, reasoning, structured_outputs, tools

16 comparable fields · 10 material differences · Pair passes the primary-source comparison gate

DeepSeek-R1 Capabilities

chatgenerationreasoning
Input price$0.70
Output price$2.50
Serving providers1
Canonical IDdeepseek-ai/DeepSeek-R1

DeepSeek-V4-Flash-Vision-Exp Capabilities

chatgenerationreasoningstructured outputstools
Input price$0.22
Output price$0.66
Serving providers1
Canonical IDdeepseek-ai/DeepSeek-V4-Flash-Vision-Exp

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

DeepSeek-R1 vs DeepSeek-V4-Flash-Vision-Exp FAQs

Is DeepSeek-R1 or DeepSeek-V4-Flash-Vision-Exp better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek-R1 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, DeepSeek-R1 or DeepSeek-V4-Flash-Vision-Exp?+

DeepSeek-R1 is $0.70 and DeepSeek-V4-Flash-Vision-Exp is $0.22 per million tokens, so DeepSeek-V4-Flash-Vision-Exp is cheaper on this metric. DeepSeek-R1 is $2.50 and DeepSeek-V4-Flash-Vision-Exp is $0.66 per million tokens, so DeepSeek-V4-Flash-Vision-Exp is cheaper on this metric.

Which has a larger context window, DeepSeek-R1 or DeepSeek-V4-Flash-Vision-Exp?+

DeepSeek-V4-Flash-Vision-Exp has the larger sourced context window. DeepSeek-R1 supports 163,840 and DeepSeek-V4-Flash-Vision-Exp supports 1,048,576.

Which performs better in benchmarks, DeepSeek-R1 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 DeepSeek-R1 or DeepSeek-V4-Flash-Vision-Exp be self-hosted?+

Both models have the same recorded self-hosting status: supported. DeepSeek-R1 is open weight; DeepSeek-V4-Flash-Vision-Exp is open weight.

Can DeepSeek-R1 and DeepSeek-V4-Flash-Vision-Exp understand images?+

DeepSeek-R1 is not 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, DeepSeek-R1 or DeepSeek-V4-Flash-Vision-Exp?+

DeepSeek-V4-Flash-Vision-Exp has the larger sourced maximum output: DeepSeek-R1 supports 32,768 and DeepSeek-V4-Flash-Vision-Exp supports 393,216 output tokens.

Do DeepSeek-R1 and DeepSeek-V4-Flash-Vision-Exp support reasoning and tool use?+

DeepSeek-R1: reasoning. 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, DeepSeek-R1 or DeepSeek-V4-Flash-Vision-Exp?+

DeepSeek-R1 has 1 sourced provider route; DeepSeek-V4-Flash-Vision-Exp has 1, a tie.

Which offers better value, DeepSeek-R1 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.

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