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Head-to-head comparison

DeepSeek V3.2 vs DeepSeek V4 Flash Vision Exp

DeepSeek V3.2 (DeepSeek) and DeepSeek V4 Flash Vision Exp (DeepSeek) 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 Flash Vision Exp holds the stronger ModelCap Index position (#23 vs #51); DeepSeek V3.2 is 1.7× cheaper per output token ($0.40/1M vs $0.66/1M); and DeepSeek V4 Flash Vision Exp offers the longer context window (1M vs 164K tokens).

Which should you choose?

Choose DeepSeek V3.2 if…

  • API cost matters — $0.40/1M output tokens against $0.66/1M, about 1.7× cheaper.
  • you want provider choice — 15 listed API providers against 6.

Choose DeepSeek V4 Flash Vision Exp if…

  • you want the stronger overall ModelCap Index position — #23 against #51 (71.2 vs 58.2 points).
  • your workload is prompt-heavy — input tokens cost $0.22/1M against $0.269/1M.
  • you need the longer context window — 1M tokens against 164K.
  • you want the more recently listed model — DeepSeek V4 Flash Vision Exp was listed 21 August 2026, DeepSeek V3.2 1 December 2025.

DeepSeek V3.2 vs DeepSeek V4 Flash Vision Exp: specs, pricing and context

Specification comparison of DeepSeek V3.2 and DeepSeek V4 Flash Vision Exp
FieldDeepSeek V3.2DeepSeekDeepSeek V4 Flash Vision ExpDeepSeek
ModelCap Index position#51#23
Index score58.271.2
EvidenceMeasuredEstimated
Input price / 1M tokens$0.269$0.22
Output price / 1M tokens$0.40$0.66
Context window164K tokens1M tokens
Max output tokens66K944K
API providers listed156
Weight accessOpen weightsOpen weights
Input modalitiesTextText, Image
First listed1 December 202521 August 2026
PublisherDeepSeekDeepSeek

Evidence: 4 public benchmark observations across 4 boards · publisher-corpus-prior over 182 held-out anchors (13%); launch card against 2 resolved peers on 7 rows (87%); exceeds every named peer on 1 of 7 rows; no cross-lab optimism probe available; shrunk 2 toward the measured corpus. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: DeepSeek V3.2 vs DeepSeek V4 Flash Vision Exp

Public benchmark boards where DeepSeek V3.2 or DeepSeek V4 Flash Vision Exp has a published result
BoardDeepSeek V3.2DeepSeek V4 Flash Vision ExpLeads
Arena codingArena (LMArena)14761469–1483ThinkingOnly one result
ARC-AGI-2ARC Prize Foundation4.0%Only one result
SWE-benchSWE-bench (Princeton / SWE-agent team)70.0%HighOnly one result
AA Terminal-Bench 2.1Artificial Analysis46.8%terminal-bench:2.1:terminus-2:e2b:pass-at-1:3-repeats:source-model="DeepSeek V3.2":reasoning=trueOnly one result
AA τ²-Bench TelecomArtificial Analysis78.9%tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="DeepSeek V3.2 (Non-reasoning)":reasoning=falseOnly one result
AA Humanity's Last ExamArtificial Analysis11.2%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="DeepSeek V3.2 (Non-reasoning)":reasoning=falseOnly one result
WildClawBench OpenClawWildClawBench34.0Only 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 V3.2 vs DeepSeek V4 Flash Vision Exp: common questions

Is DeepSeek V3.2 better than DeepSeek V4 Flash Vision Exp?

DeepSeek V4 Flash Vision Exp ranks higher on the ModelCap Index as of 9 September 2026: #23 against #51. 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 V3.2 cheaper than DeepSeek V4 Flash Vision Exp?

DeepSeek V3.2 is cheaper on output tokens: $0.40/1M against $0.66/1M. Input tokens are $0.269/1M for DeepSeek V3.2 and $0.22/1M for DeepSeek V4 Flash Vision Exp. 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 $0.74 for DeepSeek V3.2 versus $0.77 for DeepSeek V4 Flash Vision Exp. DeepSeek V3.2 costs 4.2% 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 V3.2 or DeepSeek V4 Flash Vision Exp?

DeepSeek V4 Flash Vision Exp has the larger context window: 1M tokens against 164K.

Which is better for coding, DeepSeek V3.2 or DeepSeek V4 Flash Vision Exp?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are DeepSeek V3.2 and DeepSeek V4 Flash Vision Exp open-weight models?

DeepSeek V3.2: Open weights. DeepSeek V4 Flash Vision Exp: Open weights. 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 V3.2 and DeepSeek V4 Flash Vision Exp?

ModelCap currently lists 15 API providers for DeepSeek V3.2 and 6 for DeepSeek V4 Flash Vision Exp, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this DeepSeek V3.2 vs DeepSeek V4 Flash Vision Exp 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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