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Head-to-head comparison

DeepSeek V3.2 vs Ling 3.0 Flash VL

DeepSeek V3.2 (DeepSeek) and Ling 3.0 Flash VL (InclusionAI) 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 13 September 2026

As of 13 September 2026, Ling 3.0 Flash VL holds the stronger ModelCap Index position (#55 vs #57); Ling 3.0 Flash VL is 2.2× cheaper per output token ($0.18/1M vs $0.40/1M); and DeepSeek V3.2 offers the longer context window (164K vs 131K tokens).

Which should you choose?

Choose DeepSeek V3.2 if…

  • you need the longer context window — 164K tokens against 131K.
  • you want provider choice — 15 listed API providers against 1.

Choose Ling 3.0 Flash VL if…

  • you want the stronger overall ModelCap Index position — #55 against #57 (58.0 vs 57.5 points).
  • API cost matters — $0.18/1M output tokens against $0.40/1M, about 2.2× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.06/1M against $0.269/1M.
  • AA Terminal-Bench 2.1 is your yardstick — 64.4% against 46.8%.
  • AA Humanity's Last Exam is your yardstick — 22.0% against 11.2%.
  • you want the more recently listed model — Ling 3.0 Flash VL was listed 10 September 2026, DeepSeek V3.2 1 December 2025.

DeepSeek V3.2 vs Ling 3.0 Flash VL: specs, pricing and context

Specification comparison of DeepSeek V3.2 and Ling 3.0 Flash VL
FieldDeepSeek V3.2DeepSeekLing 3.0 Flash VLInclusionAI
ModelCap Index position#57#55
Index score57.558.0
EvidenceMeasuredMeasured
Input price / 1M tokens$0.269$0.06
Output price / 1M tokens$0.40$0.18
Context window164K tokens131K tokens
Max output tokens66K33K
API providers listed151
Weight accessOpen weightsOpen weights
Input modalitiesTextText, Image, Video
First listed1 December 202510 September 2026
PublisherDeepSeekInclusionAI

Evidence: 4 public benchmark observations across 4 boards · 1 public benchmark observation across 1 board. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: DeepSeek V3.2 vs Ling 3.0 Flash VL

Public benchmark boards where DeepSeek V3.2 or Ling 3.0 Flash VL has a published result
BoardDeepSeek V3.2Ling 3.0 Flash VLLeads
Arena codingArena (LMArena)14761469–1483Thinking—Only one result
ARC-AGI-2ARC Prize Foundation4.0%—Only one result
SWE-benchSWE-bench (Princeton / SWE-agent team)70.0%High—Only one result
AA Intelligence IndexArtificial Analysis—24.8intelligence-index:v4.3:reasoning-unspecifiedOnly 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)":reasoning=true64.4%terminal-bench:2.1:terminus-2:e2b:pass-at-1:3-repeats:source-model="Ling-3.0-flash-VL":reasoning=trueLing 3.0 Flash VL
AA τ²-Bench TelecomArtificial Analysis78.9%tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="DeepSeek V3.2 (Non-reasoning)":reasoning=false—Only 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=false22.0%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Ling-3.0-flash-VL":reasoning=trueLing 3.0 Flash VL
WildClawBench OpenClawWildClawBench34.0—Only 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 Ling 3.0 Flash VL: common questions

Is DeepSeek V3.2 better than Ling 3.0 Flash VL?

Ling 3.0 Flash VL ranks higher on the ModelCap Index as of 13 September 2026: #55 against #57. 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 Ling 3.0 Flash VL?

Ling 3.0 Flash VL is cheaper on output tokens: $0.18/1M against $0.40/1M. Input tokens are $0.269/1M for DeepSeek V3.2 and $0.06/1M for Ling 3.0 Flash VL. 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 $0.21 for Ling 3.0 Flash VL. Ling 3.0 Flash VL costs 71.5% 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 V3.2 or Ling 3.0 Flash VL?

DeepSeek V3.2 has the larger context window: 164K tokens against 131K.

Which is better for coding, DeepSeek V3.2 or Ling 3.0 Flash VL?

AA Terminal-Bench 2.1: DeepSeek V3.2 46.8%, Ling 3.0 Flash VL 64.4% — Ling 3.0 Flash VL leads.

Are DeepSeek V3.2 and Ling 3.0 Flash VL open-weight models?

DeepSeek V3.2: Open weights. Ling 3.0 Flash VL: 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 Ling 3.0 Flash VL?

ModelCap currently lists 15 API providers for DeepSeek V3.2 and 1 for Ling 3.0 Flash VL, 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 Ling 3.0 Flash VL comparison?

Every figure comes from the sealed ModelCap dataset published 13 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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