AI Models · Open-Source vs Paid

INLing 3.0 Flash VL Open vs o4 Mini Paid

Ling 3.0 Flash VL vs o4 Mini compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

INLing 3.0 Flash VLOpenInclusionai
$0.06 /M input
$0.18 /M outputNo per-token fees if you self-host
TypeOpen-weight
Context window131K tokens
MultimodalYes
Self-hostYes
o4 MiniPaidOpenAI
$1.1 /M input
$4.4 /M outputManaged API (no infra to run)
TypeProprietary
Context window200K tokens
MultimodalYes
Self-hostNo
Choose Ling 3.0 Flash VL if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose o4 Mini if you want frontier capability through a managed API with zero infrastructure to run.

Ling 3.0 Flash VL vs o4 Mini specs

SpecLing 3.0 Flash VLo4 MiniWinner
MakerInclusionaiOpenAI–
TypeOpen-weightProprietaryINLing 3.0 Flash VL
Context window131K tokens200K tokenso4 Mini
Input price$0.06/M · free self-host$1.1/MINLing 3.0 Flash VL
Output price$0.18/M · free self-host$4.4/MINLing 3.0 Flash VL
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableYesNo (API only)INLing 3.0 Flash VL
LicenseOpen weightsProprietaryINLing 3.0 Flash VL

Price gap & when to choose each

24×cheaper per output token

Ling 3.0 Flash VL is ~24× cheaper than o4 Mini on output tokens ($0.18 vs $4.4 per M tokens).

INChoose Ling 3.0 Flash VL if…
  • You want to self-host or run on your cloud
  • You prioritize data privacy & control
  • You want the lowest operating costs
  • You are building open or reproducible AI
Choose o4 Mini if…
  • You want frontier performance through a managed API
  • You need the longer 200K context window
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityLing 3.0 Flash VLo4 Mini
Open weights (downloadable)✓✗
Self-hostable✓✗
Runs fully offline✓✗
Vision / multimodal✓✓
Tool / function calling✓✓
1M+ context window✗✗

Benchmarks: Ling 3.0 Flash VL vs o4 Mini

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

Ling 3.0 Flash VL
o4 Mini
Intelligence index
24.6
16.7
Coding index
57
–
GPQA
86.2%
78.4%
Humanity's Last Exam
22%
16.5%
Long Context Reasoning
78.3%
61%
SciCode
44.2%
–
τ-Bench Banking
34.4%
–
Terminal-Bench
64.4%
–
Math index
–
90.7
MMLU-Pro
–
83.2%
LiveCodeBench
–
85.9%
MATH-500
–
98.9%
AIME
–
94%
AIME 2025
–
90.7%
IFBench
–
68.7%
τ²-Bench
–
55.6%
Terminal-Bench Hard
–
15.2%
Speed
0 tok/s
0 tok/s
Latency
0s
0s
Intelligence per $
–
8.7

Benchmark data by Artificial Analysis.

How Ling 3.0 Flash VL and o4 Mini score

🏆 Best value & openness: Ling 3.0 Flash VL (4.7 vs 3.1 / 5)
CriterionLing 3.0 Flash VLo4 Mini
Cost-efficiency5.04.0
Context window3.54.0
Openness5.01.5
Self-hosting5.01.0
Multimodality5.05.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

Ling 3.0 Flash VL Open

Inclusionai · Open-weight

Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual...

o4 Mini Paid

OpenAI · Proprietary

OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
Ling 3.0 Flash
Other variants tracked
o4 Mini Higho4 Mini (batch)

Frequently asked questions

Is Ling 3.0 Flash VL as good as o4 Mini?

Ling 3.0 Flash VL is open-weight and competitive on many tasks, but o4 Mini may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.

Can I run Ling 3.0 Flash VL locally?

Yes. Ling 3.0 Flash VL has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. o4 Mini is API-only and cannot be self-hosted.

How much cheaper is Ling 3.0 Flash VL?

Ling 3.0 Flash VL costs $0.18/M output vs $4.4/M for o4 Mini — roughly 24x cheaper via API, and free if you self-host.

Ling 3.0 Flash VL vs o4 Mini — which should I pick in 2026?

Choose Ling 3.0 Flash VL if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose o4 Mini if you want frontier capability through a managed API with zero infrastructure to run.

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