Model Markets
Get Free API KeyAPI

DeepSeek V4 Flash vs Gemini 3.1 Pro

Market Position

LiveBench Quality Versus Estimated Output Cost

Full ranking →
Efficiency FrontierLiveBench overall · output estimate
Upper-left is better
xAIDeepSeekZ.aiMiniMaxOpenAIQwenGoogle DeepMindMoonshot AIAnthropic
LiveBench quality versus score-adjusted output costEach dot is a reviewed major-model configuration and is colored by developer. Higher means a better LiveBench overall score. Farther left means lower estimated output cost after adjusting by the score. A dotted line connects the non-dominated frontier observations. When models are selected, their sourced families remain prominent, unrelated observations retain their developer colors at lower opacity, and an orange ring identifies each selected model.$0.0050$0.010$0.020$0.050$0.100$0.200$0.5006873788287Grok Build 0.1GLM 5.3 FlashGPT-5.6 Luna (max)DeepSeek V4 Flash Vision ExpGPT-5.6 Sol (max)Score-adjusted output cost per LiveBench case (log) →LiveBench overall →
The dotted frontier connects measured, non-dominated major-model observations. With a selection, sourced families stay prominent, unrelated observations retain their developer colors at lower opacity, and orange rings mark the selected model or models. Family lines connect models only when their sourced family and generation match. Cost is estimated from published output tokens and the lowest current USD output rate; it excludes input, caching, batch discounts, and provider-specific benchmark execution details.

This current-market view appears only when both compared models are reviewed current models with publisher-reported LiveBench token accounting and current sourced USD output rates.

Model Markets Rankings

Intelligence, Cost, and Efficiency

All rankings →
RankingDeepSeek-V4-FlashGemini 3.1 Pro
IntelligenceHigher is better · MM Intelligence v1.2#19 of 2241.8 scoreUnrankedNot in the 22-model eligible cohort
CostLower is better · Published-token output estimate#2 of 36$0.0060 per LiveBench case#22 of 36$0.161 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.0#1 of 2270.9 scoreUnrankedNot in the 22-model eligible cohort

Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.

Benchmark Performance

Available Benchmarks

All benchmark results →
BenchmarkDeepSeek-V4-FlashGemini 3.1 Pro
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,431.9897% of row best · rating · deepseek-v4-flash; 95% CI [1427.84091263, 1436.10937297]; votes 48963; rank 801,480.10100% of row best · rating · gemini-3.1-pro-preview; 95% CI [1476.89767236, 1483.30025658]; votes 102763; rank 11
LiveBench2026-06-25 · overall · leader69.6785% of row best · percent · deepseek-v4-flash · 34,434 output tokens / case81.66100% of row best · percent · gemini-3.1-pro-preview-high · 13,380 output tokens / case
Overall ResultCounted from the protocol-matched rows above0 benchmark wins2 benchmark winsOverall lead

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

FieldAt a Glance
DeepSeek · activeDeepSeek V4 FlashVerified Aug 28, 2026
Google DeepMind · previewGemini 3.1 ProVerified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldDeepSeek-V4-FlashGemini 3.1 Pro
DeveloperDeepSeekGoogle DeepMind
FamilyDeepseek V4 FlashGemini 3
ModelDeepSeek-V4-FlashGemini 3.1 Pro
VersionDeepSeek-V4-FlashGemini 3.1 Pro
Lifecycleactivepreview
Released2026-04-24Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Video, Audio, Document
Output modalitiesTextText
Context window1,049K1,049K
Total parameters290.9BUnknown
Active parameters13BUnknown
LicensemitUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard)Google AI (Standard), Google Gemini (Standard)
Capabilitieschat, generation, reasoningchat, generation, reasoning, tools

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

DeepSeek V4 Flash Capabilities

chatgenerationreasoning
Input price$0.0868
Output price$0.1736
Serving providers5
Canonical IDdeepseek-ai/DeepSeek-V4-Flash

Gemini 3.1 Pro Capabilities

chatgenerationreasoningtools
Input price$2.00
Output price$12.00
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.1-pro-preview

Internal Comparison Graph

Related Comparisons

All text comparisons →
APairBContext
vscross-developer peerstext
vscross-developer peerstext
vsfamily variantstext
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peerstext

Primary Evidence

Sources and Freshness

deepseek-ai/DeepSeek-V4-Flash developer model repositoryDeepSeek · observed Aug 28, 2026Gemini 3.1 Pro Preview | Gemini APIGoogle DeepMind · observed Aug 29, 2026LMArena Text Arena text-2026-09-01-011508720696 score tableLMArena · observed Sep 3, 2026LiveBench 2026-06-25 score tableLiveBench · observed Sep 3, 2026LiveBench 2026-06-25 token accountingLiveBench · observed Sep 3, 2026

Questions

DeepSeek V4 Flash vs Gemini 3.1 Pro FAQs

Is DeepSeek V4 Flash or Gemini 3.1 Pro better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Flash 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 or Gemini 3.1 Pro?+

DeepSeek V4 Flash is $0.0868 and Gemini 3.1 Pro is $2.00 per million tokens, so DeepSeek V4 Flash is cheaper on this metric. DeepSeek V4 Flash is $0.1736 and Gemini 3.1 Pro is $12.00 per million tokens, so DeepSeek V4 Flash is cheaper on this metric.

Which has a larger context window, DeepSeek V4 Flash or Gemini 3.1 Pro?+

Neither model has a larger sourced context window in this comparison. DeepSeek V4 Flash is 1,049K and Gemini 3.1 Pro is 1,049K.

Which performs better in benchmarks, DeepSeek V4 Flash or Gemini 3.1 Pro?+

Gemini 3.1 Pro leads the current overall benchmark count. The result uses 2 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.

Can DeepSeek V4 Flash or Gemini 3.1 Pro be self-hosted?+

DeepSeek V4 Flash is the only model in this pair currently marked as self-hostable. DeepSeek V4 Flash is open weight; Gemini 3.1 Pro is not marked open weight.

Can DeepSeek V4 Flash and Gemini 3.1 Pro understand images?+

DeepSeek V4 Flash is not 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 or Gemini 3.1 Pro?+

Neither has a larger sourced maximum output. DeepSeek V4 Flash is — and Gemini 3.1 Pro is 66K.

Do DeepSeek V4 Flash and Gemini 3.1 Pro support reasoning and tool use?+

DeepSeek V4 Flash: reasoning. 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 or Gemini 3.1 Pro?+

DeepSeek V4 Flash has 5 sourced provider routes; Gemini 3.1 Pro has 2, so DeepSeek V4 Flash has broader tracked availability.

Which offers better value, DeepSeek V4 Flash 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.

Send Feedback