AI Models · Open-Source vs Paid

INLing 3.0 Flash Open vs Mistral Medium 3.1 (batch) Paid

Ling 3.0 Flash vs Mistral Medium 3.1 (batch) 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 FlashOpenInclusionai
$0.02 /M input
$0.06 /M outputNo per-token fees if you self-host
TypeOpen-weight
Context window262K tokens
MultimodalNo
Self-hostYes
Mistral Medium 3.1 (batch)PaidMistral AI
$0.2 /M input
$1 /M outputManaged API (no infra to run)
TypeProprietary
Context window131K tokens
MultimodalYes
Self-hostNo
Choose Ling 3.0 Flash 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 Mistral Medium 3.1 (batch) if you want frontier capability through a managed API with zero infrastructure to run.

Ling 3.0 Flash vs Mistral Medium 3.1 (batch) specs

SpecLing 3.0 FlashMistral Medium 3.1 (batch)Winner
MakerInclusionaiMistral AI
TypeOpen-weightProprietaryINLing 3.0 Flash
Context window262K tokens131K tokensINLing 3.0 Flash
Input price$0.02/M · free self-host$0.2/MINLing 3.0 Flash
Output price$0.06/M · free self-host$1/MINLing 3.0 Flash
Vision / multimodalNoYesMistral Medium 3.1 (batch)
Tool / function callingYesYes= Tie
Self-hostableYesNo (API only)INLing 3.0 Flash
LicenseOpen weightsProprietaryINLing 3.0 Flash

Price gap & when to choose each

17×cheaper per output token

Ling 3.0 Flash is ~17× cheaper than Mistral Medium 3.1 (batch) on output tokens ($0.06 vs $1 per M tokens).

INChoose Ling 3.0 Flash if…
  • You want to self-host or run on your cloud
  • You need the longer 262K context window
  • You prioritize data privacy & control
  • You want the lowest operating costs
  • You are building open or reproducible AI
Choose Mistral Medium 3.1 (batch) if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityLing 3.0 FlashMistral Medium 3.1 (batch)
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Ling 3.0 Flash vs Mistral Medium 3.1 (batch)

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

Ling 3.0 Flash delivers 18× more intelligence per dollar.
Ling 3.0 Flash
Mistral Medium 3.1 (batch)
Intelligence index
24.9
9.9
Coding index
50.6
20.5
GPQA
85.5%
58.8%
Humanity's Last Exam
23.7%
4.7%
Long Context Reasoning
73%
SciCode
42%
32.4%
τ-Bench Banking
27.2%
8.2%
Terminal-Bench
55.4%
13.9%
Math index
38.3
MMLU-Pro
68.3%
LiveCodeBench
40.6%
AIME 2025
38.3%
IFBench
39.8%
τ²-Bench
40.6%
Terminal-Bench Hard
10.6%
Speed
333.9 tok/s
0 tok/s
Latency
1.72s
0s
Intelligence per $
224.3
12.4

Benchmark data by Artificial Analysis.

How Ling 3.0 Flash and Mistral Medium 3.1 (batch) score

🏆 Best value & openness: Ling 3.0 Flash (4.5 vs 3.1 / 5)
CriterionLing 3.0 FlashMistral Medium 3.1 (batch)
Cost-efficiency5.04.5
Context window4.03.5
Openness5.01.5
Self-hosting5.01.0
Multimodality3.55.0

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 Open

Inclusionai · Open-weight

*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic inference* as key priorities, enablin

Mistral Medium 3.1 (batch) Paid

Mistral AI · Proprietary

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

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 VLLing 3.0 Flash VL (free)

Frequently asked questions

Is Ling 3.0 Flash as good as Mistral Medium 3.1 (batch)?

Ling 3.0 Flash is open-weight and competitive on many tasks, but Mistral Medium 3.1 (batch) 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 locally?

Yes. Ling 3.0 Flash has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Mistral Medium 3.1 (batch) is API-only and cannot be self-hosted.

How much cheaper is Ling 3.0 Flash?

Ling 3.0 Flash costs $0.06/M output vs $1/M for Mistral Medium 3.1 (batch) — roughly 17x cheaper via API, and free if you self-host.

Ling 3.0 Flash vs Mistral Medium 3.1 (batch) — which should I pick in 2026?

Choose Ling 3.0 Flash 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 Mistral Medium 3.1 (batch) if you want frontier capability through a managed API with zero infrastructure to run.

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