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Head-to-head comparison

Ling 3.0 Flash Fin vs Qwen3 VL 235B A22B Thinking

Ling 3.0 Flash Fin (InclusionAI) and Qwen3 VL 235B A22B Thinking (Qwen) 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 10 September 2026

As of 10 September 2026, Ling 3.0 Flash Fin holds the stronger ModelCap Index position (#85 vs #86); Ling 3.0 Flash Fin is 22.2× cheaper per output token ($0.18/1M vs $4.00/1M); and Ling 3.0 Flash Fin offers the longer context window (262K vs 131K tokens).

Which should you choose?

Choose Ling 3.0 Flash Fin if…

  • you want the stronger overall ModelCap Index position — #85 against #86 (49.7 vs 48.8 points).
  • API cost matters — $0.18/1M output tokens against $4.00/1M, about 22.2× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.06/1M against $0.40/1M.
  • you need the longer context window — 262K tokens against 131K.
  • you want the more recently listed model — Ling 3.0 Flash Fin was listed 27 August 2026, Qwen3 VL 235B A22B Thinking 23 September 2025.

Choose Qwen3 VL 235B A22B Thinking if…

  • you want provider choice — 2 listed API providers against 1.

Ling 3.0 Flash Fin vs Qwen3 VL 235B A22B Thinking: specs, pricing and context

Specification comparison of Ling 3.0 Flash Fin and Qwen3 VL 235B A22B Thinking
FieldLing 3.0 Flash FinInclusionAIQwen3 VL 235B A22B ThinkingQwen
ModelCap Index position#85#86
Index score49.748.8
EvidenceInheritedMeasured
Input price / 1M tokens$0.06$0.40
Output price / 1M tokens$0.18$4.00
Context window262K tokens131K tokens
Max output tokens236K33K
API providers listed12
Weight accessOpen weightsOpen weights
Input modalitiesTextText, Image
First listed27 August 202623 September 2025
PublisherInclusionAIQwen

Evidence: finetune of inclusionai/ling-3.0-flash · finetune (100%) · 2 public benchmark observations across 2 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Ling 3.0 Flash Fin vs Qwen3 VL 235B A22B Thinking

Public benchmark boards where Ling 3.0 Flash Fin or Qwen3 VL 235B A22B Thinking has a published result
BoardLing 3.0 Flash FinQwen3 VL 235B A22B ThinkingLeads
Arena codingArena (LMArena)—14531439–1468Only 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.

Ling 3.0 Flash Fin vs Qwen3 VL 235B A22B Thinking: common questions

Is Ling 3.0 Flash Fin better than Qwen3 VL 235B A22B Thinking?

Ling 3.0 Flash Fin ranks higher on the ModelCap Index as of 10 September 2026: #85 against #86. 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 Ling 3.0 Flash Fin cheaper than Qwen3 VL 235B A22B Thinking?

Ling 3.0 Flash Fin is cheaper on output tokens: $0.18/1M against $4.00/1M. Input tokens are $0.06/1M for Ling 3.0 Flash Fin and $0.40/1M for Qwen3 VL 235B A22B Thinking. 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 $0.21 for Ling 3.0 Flash Fin versus $2.80 for Qwen3 VL 235B A22B Thinking. Ling 3.0 Flash Fin costs 92.5% 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, Ling 3.0 Flash Fin or Qwen3 VL 235B A22B Thinking?

Ling 3.0 Flash Fin has the larger context window: 262K tokens against 131K.

Which is better for coding, Ling 3.0 Flash Fin or Qwen3 VL 235B A22B Thinking?

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 Ling 3.0 Flash Fin and Qwen3 VL 235B A22B Thinking open-weight models?

Ling 3.0 Flash Fin: Open weights. Qwen3 VL 235B A22B Thinking: 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 Ling 3.0 Flash Fin and Qwen3 VL 235B A22B Thinking?

ModelCap currently lists 1 API provider for Ling 3.0 Flash Fin and 2 for Qwen3 VL 235B A22B Thinking, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Ling 3.0 Flash Fin vs Qwen3 VL 235B A22B Thinking comparison?

Every figure comes from the sealed ModelCap dataset published 10 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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