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Head-to-head comparison

DeepSeek V4 Flash 0731 vs Gemini 3.8 Flash

DeepSeek V4 Flash 0731 (DeepSeek) and Gemini 3.8 Flash (Google) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 9 September 2026

As of 9 September 2026, Gemini 3.8 Flash holds the stronger ModelCap Index position (#7 vs #24); DeepSeek V4 Flash 0731 is 20.8× cheaper per output token ($0.18/1M vs $3.75/1M); DeepSeek V4 Flash 0731 offers the longer context window (1.3M vs 1M tokens); and DeepSeek V4 Flash 0731 ships open weights.

Which should you choose?

Choose DeepSeek V4 Flash 0731 if…

  • API cost matters — $0.18/1M output tokens against $3.75/1M, about 20.8× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.065/1M against $0.75/1M.
  • you need the longer context window — 1.3M tokens against 1M.
  • you want to self-host: DeepSeek V4 Flash 0731 ships open weights while Gemini 3.8 Flash is api only.
  • you want provider choice — 28 listed API providers against 2.

Choose Gemini 3.8 Flash if…

  • you want the stronger overall ModelCap Index position — #7 against #24 (82.2 vs 70.7 points).
  • AA Intelligence Index is your yardstick — 41.2 against 34.5.
  • AA Terminal-Bench 2.1 is your yardstick — 87.6% against 78.7%.
  • AA Humanity's Last Exam is your yardstick — 47.8% against 38.6%.
  • you want the more recently listed model — Gemini 3.8 Flash was listed 2 September 2026, DeepSeek V4 Flash 0731 31 July 2026.

DeepSeek V4 Flash 0731 vs Gemini 3.8 Flash: specs, pricing and context

Specification comparison of DeepSeek V4 Flash 0731 and Gemini 3.8 Flash
FieldDeepSeek V4 Flash 0731DeepSeekGemini 3.8 FlashGoogle
ModelCap Index position#24#7
Index score70.782.2
EvidenceMeasuredMeasured
Input price / 1M tokens$0.065$0.75
Output price / 1M tokens$0.18$3.75
Context window1.3M tokens1M tokens
Max output tokens944K66K
API providers listed282
Weight accessOpen weightsAPI only
Input modalitiesTextText, Image, Video, File, Audio
First listed31 July 20262 September 2026
PublisherDeepSeekGoogle

Evidence: 2 public benchmark observations across 2 boards · 4 public benchmark observations across 4 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: DeepSeek V4 Flash 0731 vs Gemini 3.8 Flash

Public benchmark boards where DeepSeek V4 Flash 0731 or Gemini 3.8 Flash has a published result
BoardDeepSeek V4 Flash 0731Gemini 3.8 FlashLeads
Arena codingArena (LMArena)—15371521–1553HighOnly one result
LMArena AgentLMArena—4.0%2.1%–6.0%HighOnly one result
ARC-AGI-2ARC Prize Foundation61.4%Max—Only one result
AA Intelligence IndexArtificial Analysis34.5intelligence-index:v4.3:max41.2intelligence-index:v4.3:highGemini 3.8 Flash
AA Terminal-Bench 2.1Artificial Analysis78.7%terminal-bench:2.1:terminus-2:e2b:pass-at-1:3-repeats:source-model="DeepSeek V4 Flash 0731 (max)":reasoning=true87.6%terminal-bench:2.1:terminus-2:e2b:pass-at-1:3-repeats:source-model="Gemini 3.8 Flash (high)":reasoning=trueGemini 3.8 Flash
AA Humanity's Last ExamArtificial Analysis38.6%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="DeepSeek V4 Flash 0731 (max)":reasoning=true47.8%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Gemini 3.8 Flash (high)":reasoning=trueGemini 3.8 Flash
Terminal-Bench 4.0Terminal-Bench (Laude Institute)—19.1%15.7%–22.5%mini-SWE-agent · HighOnly one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

DeepSeek V4 Flash 0731 vs Gemini 3.8 Flash: common questions

Is DeepSeek V4 Flash 0731 better than Gemini 3.8 Flash?

Gemini 3.8 Flash ranks higher on the ModelCap Index as of 9 September 2026: #7 against #24. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.

Is DeepSeek V4 Flash 0731 cheaper than Gemini 3.8 Flash?

DeepSeek V4 Flash 0731 is cheaper on output tokens: $0.18/1M against $3.75/1M. Input tokens are $0.065/1M for DeepSeek V4 Flash 0731 and $0.75/1M for Gemini 3.8 Flash. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.22 for DeepSeek V4 Flash 0731 versus $3.38 for Gemini 3.8 Flash. DeepSeek V4 Flash 0731 costs 93.5% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.

Which has the bigger context window, DeepSeek V4 Flash 0731 or Gemini 3.8 Flash?

DeepSeek V4 Flash 0731 has the larger context window: 1.3M tokens against 1M.

Which is better for coding, DeepSeek V4 Flash 0731 or Gemini 3.8 Flash?

AA Terminal-Bench 2.1: DeepSeek V4 Flash 0731 78.7%, Gemini 3.8 Flash 87.6% — Gemini 3.8 Flash leads.

Are DeepSeek V4 Flash 0731 and Gemini 3.8 Flash open-weight models?

DeepSeek V4 Flash 0731: Open weights. Gemini 3.8 Flash: API only. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run DeepSeek V4 Flash 0731 and Gemini 3.8 Flash?

ModelCap currently lists 28 API providers for DeepSeek V4 Flash 0731 and 2 for Gemini 3.8 Flash, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this DeepSeek V4 Flash 0731 vs Gemini 3.8 Flash comparison?

Every figure comes from the sealed ModelCap dataset published 9 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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