DeepSeek-V4-Flash-Vision-Exp vs o3-pro

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 · previewDeepSeek-V4-Flash-Vision-ExpVerified Sep 2, 2026
Openai · activeo3-proVerified Sep 3, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldDeepSeek-V4-Flash-Vision-Expo3-pro
DeveloperDeepSeekOpenai
FamilyDeepseek V4 Flash Vision ExpO3
ModelDeepSeek-V4-Flash-Vision-Expo3-pro
VersionDeepSeek-V4-Flash-Vision-Expo3-pro
Lifecyclepreviewactive
Released2026-08-212025-06-10
Knowledge cutoffUnknown2024-06-01
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window1,048,576200,000
Total parameters304,646,824,126Unknown
Active parametersUnknownUnknown
LicensemitUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard)Openai (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation, reasoning, structured_outputs, tools

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

DeepSeek-V4-Flash-Vision-Exp Capabilities

chatgenerationreasoningstructured outputstools
Input price$0.22
Output price$0.66
Serving providers3
Canonical IDdeepseek-ai/DeepSeek-V4-Flash-Vision-Exp

o3-pro Capabilities

chatgenerationreasoningstructured outputstools
Input price$20.00
Output price$80.00
Serving providers2
Canonical IDopenai/o3-pro

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

DeepSeek-V4-Flash-Vision-Exp vs o3-pro FAQs

Is DeepSeek-V4-Flash-Vision-Exp or o3-pro better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek-V4-Flash-Vision-Exp and o3-pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, DeepSeek-V4-Flash-Vision-Exp or o3-pro?+

DeepSeek-V4-Flash-Vision-Exp is $0.22 and o3-pro is $20.00 per million tokens, so DeepSeek-V4-Flash-Vision-Exp is cheaper on this metric. DeepSeek-V4-Flash-Vision-Exp is $0.66 and o3-pro is $80.00 per million tokens, so DeepSeek-V4-Flash-Vision-Exp is cheaper on this metric.

Which has a larger context window, DeepSeek-V4-Flash-Vision-Exp or o3-pro?+

DeepSeek-V4-Flash-Vision-Exp has the larger sourced context window. DeepSeek-V4-Flash-Vision-Exp supports 1,048,576 and o3-pro supports 200,000.

Which performs better in benchmarks, DeepSeek-V4-Flash-Vision-Exp or o3-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-Vision-Exp or o3-pro be self-hosted?+

DeepSeek-V4-Flash-Vision-Exp is the only model in this pair currently marked as self-hostable. DeepSeek-V4-Flash-Vision-Exp is open weight; o3-pro is not marked open weight.

Can DeepSeek-V4-Flash-Vision-Exp and o3-pro understand images?+

DeepSeek-V4-Flash-Vision-Exp is documented with image input; o3-pro is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, DeepSeek-V4-Flash-Vision-Exp or o3-pro?+

DeepSeek-V4-Flash-Vision-Exp has the larger sourced maximum output: DeepSeek-V4-Flash-Vision-Exp supports 393,216 and o3-pro supports 100,000 output tokens.

Do DeepSeek-V4-Flash-Vision-Exp and o3-pro support reasoning and tool use?+

DeepSeek-V4-Flash-Vision-Exp: reasoning, tool calling, and image input. o3-pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, DeepSeek-V4-Flash-Vision-Exp or o3-pro?+

DeepSeek-V4-Flash-Vision-Exp has 3 sourced provider routes; o3-pro has 2, so DeepSeek-V4-Flash-Vision-Exp has broader tracked availability.

Which offers better value, DeepSeek-V4-Flash-Vision-Exp or o3-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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