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Head-to-head comparison

DeepSeek V4 Pro 0813 vs Gemini 3.5 Flash Lite

DeepSeek V4 Pro 0813 (DeepSeek) and Gemini 3.5 Flash Lite (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, DeepSeek V4 Pro 0813 holds the stronger ModelCap Index position (#20 vs #30); DeepSeek V4 Pro 0813 is 1.4× cheaper per output token ($1.74/1M vs $2.50/1M); and DeepSeek V4 Pro 0813 ships open weights.

Which should you choose?

Choose DeepSeek V4 Pro 0813 if…

  • you want the stronger overall ModelCap Index position — #20 against #30 (73.6 vs 67.1 points).
  • API cost matters — $1.74/1M output tokens against $2.50/1M, about 1.4× cheaper.
  • you want to self-host: DeepSeek V4 Pro 0813 ships open weights while Gemini 3.5 Flash Lite is api only.
  • you want provider choice — 19 listed API providers against 2.
  • Arena coding is your yardstick — 1505 against 1502.
  • ARC-AGI-2 is your yardstick — 61.3% against 10.3%.
  • AA Intelligence Index is your yardstick — 36.3 against 22.7.
  • AA Terminal-Bench 2.1 is your yardstick — 78.7% against 53.6%.
  • AA Humanity's Last Exam is your yardstick — 41.0% against 18.8%.
  • you want the more recently listed model — DeepSeek V4 Pro 0813 was listed 12 August 2026, Gemini 3.5 Flash Lite 21 July 2026.

Choose Gemini 3.5 Flash Lite if…

  • your workload is prompt-heavy — input tokens cost $0.30/1M against $0.579/1M.

DeepSeek V4 Pro 0813 vs Gemini 3.5 Flash Lite: specs, pricing and context

Specification comparison of DeepSeek V4 Pro 0813 and Gemini 3.5 Flash Lite
FieldDeepSeek V4 Pro 0813DeepSeekGemini 3.5 Flash LiteGoogle
ModelCap Index position#20#30
Index score73.667.1
EvidenceMeasuredMeasured
Input price / 1M tokens$0.579$0.30
Output price / 1M tokens$1.74$2.50
Context window1M tokens1M tokens
Max output tokens393K66K
API providers listed192
Weight accessOpen weightsAPI only
Input modalitiesTextText, Image, Video, File, Audio
First listed12 August 202621 July 2026
PublisherDeepSeekGoogle

Evidence: 4 public benchmark observations across 4 boards · 5 public benchmark observations across 5 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: DeepSeek V4 Pro 0813 vs Gemini 3.5 Flash Lite

Public benchmark boards where DeepSeek V4 Pro 0813 or Gemini 3.5 Flash Lite has a published result
BoardDeepSeek V4 Pro 0813Gemini 3.5 Flash LiteLeads
Arena codingArena (LMArena)15051490–1519High15021494–1511DeepSeek V4 Pro 0813
LMArena AgentLMArena-13.4%-14.9%–-12.0%Only one result
ARC-AGI-2ARC Prize Foundation61.3%Max10.3%HighDeepSeek V4 Pro 0813
AA Intelligence IndexArtificial Analysis36.3intelligence-index:v4.3:max22.7intelligence-index:v4.3:reasoning-unspecifiedDeepSeek V4 Pro 0813
AA Terminal-Bench 2.1Artificial Analysis78.7%terminal-bench:2.1:terminus-2:e2b:pass-at-1:3-repeats:source-model="DeepSeek V4 Pro 0813 (max)":reasoning=true53.6%terminal-bench:2.1:terminus-2:e2b:pass-at-1:3-repeats:source-model="Gemini 3.5 Flash-Lite":reasoning=trueDeepSeek V4 Pro 0813
AA Humanity's Last ExamArtificial Analysis41.0%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="DeepSeek V4 Pro 0813 (max)":reasoning=true18.8%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Gemini 3.5 Flash-Lite":reasoning=trueDeepSeek V4 Pro 0813

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 Pro 0813 vs Gemini 3.5 Flash Lite: common questions

Is DeepSeek V4 Pro 0813 better than Gemini 3.5 Flash Lite?

DeepSeek V4 Pro 0813 ranks higher on the ModelCap Index as of 9 September 2026: #20 against #30. 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 Pro 0813 cheaper than Gemini 3.5 Flash Lite?

DeepSeek V4 Pro 0813 is cheaper on output tokens: $1.74/1M against $2.50/1M. Input tokens are $0.579/1M for DeepSeek V4 Pro 0813 and $0.30/1M for Gemini 3.5 Flash Lite. 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 $2.03 for DeepSeek V4 Pro 0813 versus $1.85 for Gemini 3.5 Flash Lite. Gemini 3.5 Flash Lite costs 8.8% 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 Pro 0813 or Gemini 3.5 Flash Lite?

Both publish a 1M-token context window.

Which is better for coding, DeepSeek V4 Pro 0813 or Gemini 3.5 Flash Lite?

Arena coding: DeepSeek V4 Pro 0813 1505, Gemini 3.5 Flash Lite 1502 — DeepSeek V4 Pro 0813 leads. AA Terminal-Bench 2.1: DeepSeek V4 Pro 0813 78.7%, Gemini 3.5 Flash Lite 53.6% — DeepSeek V4 Pro 0813 leads.

Are DeepSeek V4 Pro 0813 and Gemini 3.5 Flash Lite open-weight models?

DeepSeek V4 Pro 0813: Open weights. Gemini 3.5 Flash Lite: 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 Pro 0813 and Gemini 3.5 Flash Lite?

ModelCap currently lists 19 API providers for DeepSeek V4 Pro 0813 and 2 for Gemini 3.5 Flash Lite, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this DeepSeek V4 Pro 0813 vs Gemini 3.5 Flash Lite 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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