DeepSeek-V4-Flash-Vision-Exp vs Gemini 3.1 Pro
Why this pair: Experimental open-weight and API-served multimodal models with million-token contexts
Benchmark Performance
Available Benchmarks
| Benchmark | DeepSeek-V4-Flash-Vision-Exp | Gemini 3.1 Pro |
|---|---|---|
| LiveBench2026-06-25 · overall · leader | 79.6798% of row best · percent · deepseek-v4-flash-vision-exp · 52,644 output tokens / case | 81.66100% of row best · percent · gemini-3.1-pro-preview-high · 13,380 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 1 benchmark winOverall lead |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | DeepSeek-V4-Flash-Vision-Exp | Gemini 3.1 Pro |
|---|---|---|
| Developer | DeepSeek | Google DeepMind |
| Family | Deepseek V4 Flash Vision Exp | Gemini 3 |
| Model | DeepSeek-V4-Flash-Vision-Exp | Gemini 3.1 Pro |
| Version | DeepSeek-V4-Flash-Vision-Exp | Gemini 3.1 Pro |
| Lifecycle | preview | preview |
| Released | 2026-08-21 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Video, Audio, Document |
| Output modalities | Text | Text |
| Context window | 1,048,576 | 1,048,576 |
| Total parameters | 304,646,824,126 | Unknown |
| Active parameters | Unknown | Unknown |
| License | mit | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | DeepSeek (Standard) | Google AI (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning, tools |
13 comparable fields · 9 material differences · Editorially curated pair passes the primary-source comparison gate
DeepSeek-V4-Flash-Vision-Exp Capabilities
Gemini 3.1 Pro Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Claude Fable 5.1Anthropic | vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs | DeepSeek-V4-Flash-Vision-ExpDeepSeek | family variantstext |
Claude Mythos 5.1Anthropic | vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-Flash-Vision-ExpDeepSeek | vs | DeepSeek-V4-ProDeepSeek | family variantstext |
DeepSeek-V4-Flash-Vision-ExpDeepSeek | vs |  GLM-5.3-FlashZ.ai | cross-developer peersimage, text |
 Qwen3.8-27BQwen | vs | DeepSeek-V4-Flash-Vision-ExpDeepSeek | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | DeepSeek-V4-Flash-Vision-ExpDeepSeek | cross-developer peersimage, text |
Gemini 3.1 ProGoogle DeepMind | vs |  Hy4 previewTencent | cross-developer peerstext |
Gemini 2.5 ProGoogle DeepMind | vs | Gemini 3.1 ProGoogle DeepMind | family variantstext |
Gemini 3.1 ProGoogle DeepMind | vs | Gemini 3.5 FlashGoogle DeepMind | family variantstext |
DeepSeek-V4-Flash-Vision-ExpDeepSeek | vs | Qwen3.8-MaxQwen | cross-developer peersimage, text |
DeepSeek-V4-Flash-Vision-ExpDeepSeek | vs | Qwen3.7-PlusQwen | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
DeepSeek-V4-Flash-Vision-Exp vs Gemini 3.1 Pro FAQs
Is DeepSeek-V4-Flash-Vision-Exp or Gemini 3.1 Pro better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek-V4-Flash-Vision-Exp and Gemini 3.1 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 Gemini 3.1 Pro?+
DeepSeek-V4-Flash-Vision-Exp is $0.22 and Gemini 3.1 Pro is $2.00 per million tokens, so DeepSeek-V4-Flash-Vision-Exp is cheaper on this metric. DeepSeek-V4-Flash-Vision-Exp is $0.66 and Gemini 3.1 Pro is $12.00 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 Gemini 3.1 Pro?+
Neither model has a larger sourced context window in this comparison. DeepSeek-V4-Flash-Vision-Exp is 1,048,576 and Gemini 3.1 Pro is 1,048,576.
Which performs better in benchmarks, DeepSeek-V4-Flash-Vision-Exp or Gemini 3.1 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 Gemini 3.1 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; Gemini 3.1 Pro is not marked open weight.
Can DeepSeek-V4-Flash-Vision-Exp and Gemini 3.1 Pro understand images?+
DeepSeek-V4-Flash-Vision-Exp is documented with image input; Gemini 3.1 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 Gemini 3.1 Pro?+
DeepSeek-V4-Flash-Vision-Exp has the larger sourced maximum output: DeepSeek-V4-Flash-Vision-Exp supports 393,216 and Gemini 3.1 Pro supports 65,536 output tokens.
Do DeepSeek-V4-Flash-Vision-Exp and Gemini 3.1 Pro support reasoning and tool use?+
DeepSeek-V4-Flash-Vision-Exp: reasoning, tool calling, and image input. Gemini 3.1 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 Gemini 3.1 Pro?+
DeepSeek-V4-Flash-Vision-Exp has 1 sourced provider route; Gemini 3.1 Pro has 1, a tie.
Which offers better value, DeepSeek-V4-Flash-Vision-Exp or Gemini 3.1 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.