DeepSeek V4 Flash vs DeepSeek V4 Flash Vision Exp
At a Glance
| Compare |  DeepSeek V4 FlashDeepSeek | DeepSeek V4 Flash Vision ExpDeepSeek |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.0868Openrouter ↗ · Aug 28, 2026 | $0.22DeepSeek ↗ · Sep 2, 2026 |
| Output priceFrom · USD / 1M tokens | $0.1736Openrouter ↗ · Aug 28, 2026 | $0.66DeepSeek ↗ · Sep 2, 2026 |
| Context windowMaximum documented tokens | 1,049K | 1,049K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 2, 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
| Benchmark | DeepSeek-V4-Flash | DeepSeek-V4-Flash-Vision-Exp |
|---|---|---|
| LiveBench2026-06-25-90f8d44da965 · overall · leader | 69.6787% of row best · percent · deepseek-v4-flash · 34,434 output tokens / case | 79.67100% of row best · percent · deepseek-v4-flash-vision-exp · 52,644 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 1 benchmark winNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | DeepSeek-V4-Flash | DeepSeek-V4-Flash-Vision-Exp |
|---|---|---|
| Developer | DeepSeek | DeepSeek |
| Family | Deepseek V4 Flash | Deepseek V4 Flash Vision Exp |
| Model | DeepSeek-V4-Flash | DeepSeek-V4-Flash-Vision-Exp |
| Version | DeepSeek-V4-Flash | DeepSeek-V4-Flash-Vision-Exp |
| Lifecycle | retired | retired |
| Released | 2026-04-24 | 2026-08-21 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,049K |
| Total parameters | 290.9B | 304.6B |
| Active parameters | 13B | Unknown |
| License | mit | mit |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard) | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard) |
| Capabilities | chat, generation, reasoning | chat, generation, reasoning, structured_outputs, tools |
DeepSeek V4 Flash Capabilities
DeepSeek V4 Flash Vision Exp Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
DeepSeek-V4-FlashDeepSeek | vs | DeepSeek-V4.1-FlashDeepSeek | family variantstext |
DeepSeek-V4-FlashDeepSeek | vs | DeepSeek-V4-Flash-BaseDeepSeek | family variantstext |
DeepSeek-V4-FlashDeepSeek | vs |  Gemini 3.8 Flash CyberGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs |  GLM-5.3-FlashZ.ai | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs | DeepSeek-V4-Pro-0813DeepSeek | family variantstext |
DeepSeek-V4-FlashDeepSeek | vs | Gemini 2.5 FlashGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs | Gemini 3 FlashGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs | Gemini 3.5 FlashGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs | Gemini 3.7 FlashGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs |  Sonar Reasoning ProPerplexity | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs | GLM-5.2Z.ai | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Flash vs DeepSeek V4 Flash Vision Exp FAQs
Is DeepSeek V4 Flash or DeepSeek V4 Flash Vision Exp better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Flash 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 V4 Flash or DeepSeek V4 Flash Vision Exp?+
DeepSeek V4 Flash is $0.0868 and DeepSeek V4 Flash Vision Exp is $0.22 per million tokens, so DeepSeek V4 Flash is cheaper on this metric. DeepSeek V4 Flash is $0.1736 and DeepSeek V4 Flash Vision Exp is $0.66 per million tokens, so DeepSeek V4 Flash is cheaper on this metric.
Which has a larger context window, DeepSeek V4 Flash or DeepSeek V4 Flash Vision Exp?+
Both models have the same sourced context window: 1,048,576 tokens each.
Which performs better in benchmarks, DeepSeek V4 Flash 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 V4 Flash or DeepSeek V4 Flash Vision Exp be self-hosted?+
Both models have the same sourced self-hosting status: supported. DeepSeek V4 Flash is open weight; DeepSeek V4 Flash Vision Exp is open weight.
Can DeepSeek V4 Flash and DeepSeek V4 Flash Vision Exp understand images?+
DeepSeek V4 Flash 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 V4 Flash or DeepSeek V4 Flash Vision Exp?+
DeepSeek V4 Flash Vision Exp has a sourced maximum output of 393,216 tokens; DeepSeek V4 Flash's maximum output is not reported. A larger limit cannot be determined.
Do DeepSeek V4 Flash and DeepSeek V4 Flash Vision Exp support reasoning and tool use?+
DeepSeek V4 Flash: 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 V4 Flash or DeepSeek V4 Flash Vision Exp?+
DeepSeek V4 Flash has 5 sourced provider routes; DeepSeek V4 Flash Vision Exp has 3, so DeepSeek V4 Flash has broader tracked availability.
Which offers better value, DeepSeek V4 Flash 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.