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Ling 3.0 Flash Fin vs Ministral 3 (14B Reasoning 2512)

Ling 3.0 Flash Fin leads the LLM Stats Score 43.2 to 20.6. Ling 3.0 Flash Fin is 2.2x cheaper per token.

InclusionAI · Mistral AI · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.2 to 20.6, ranking #41 overall.

On price, Ling 3.0 Flash Fin is roughly 2.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Ling 3.0 Flash Fin also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Ling 3.0 Flash Fin

  • overall performance matters — it scores 43.2 and ranks #41 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • cost matters — it's about 2.2x cheaper per token
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose Ministral 3 (14B Reasoning 2512)

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Ling 3.0 Flash Fin
InclusionAI
Ministral 3 (14B Reasoning 2512)
Mistral AI
Core performance indexes
LLM Stats Score
43.2
#41
20.6
#192
Reasoning
44.6
#33
20.6
#183
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.06 / M
$0.20 / M
Output price
$0.18 / M
$0.20 / M
Context window
262,144
262,100

Individual benchmarks

6 reported for Ling 3.0 Flash Fin · 4 for Ministral 3 (14B Reasoning 2512)

No common benchmarks found

Ling 3.0 Flash Fin and Ministral 3 (14B Reasoning 2512)don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Ling 3.0 Flash Fin costs less

For input processing, Ling 3.0 Flash Fin ($0.06/1M tokens) is 3.3x cheaper than Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens).

For output processing, Ling 3.0 Flash Fin ($0.18/1M tokens) is 1.1x cheaper than Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens).

In conclusion, Ministral 3 (14B Reasoning 2512) is more expensive than Ling 3.0 Flash Fin.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Sep 11 2026 • llm-stats.com
InclusionAI
Ling 3.0 Flash Fin
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
Mistral AI
Ministral 3 (14B Reasoning 2512)
Input tokens$0.20
Output tokens$0.20
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

110.0B diff

Ling 3.0 Flash Fin has 110.0B more parameters than Ministral 3 (14B Reasoning 2512), making it 785.7% larger.

InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
Mistral AI
Ministral 3 (14B Reasoning 2512)
14.0Bparameters
124.0B
Ling 3.0 Flash Fin
14.0B
Ministral 3 (14B Reasoning 2512)

Context Window

Maximum input and output token capacity

Ling 3.0 Flash Fin accepts 262,144 input tokens compared to Ministral 3 (14B Reasoning 2512)'s 262,100 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while Ministral 3 (14B Reasoning 2512) is limited to 262,100 tokens.

InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Mistral AI
Ministral 3 (14B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Fri Sep 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Ministral 3 (14B Reasoning 2512) supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.

Ministral 3 (14B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Ling 3.0 Flash Fin

Text
Images
Audio
Video

Ministral 3 (14B Reasoning 2512)

Text
Images
Audio
Video

Release Timeline

When each model was launched

Ling 3.0 Flash Fin was released on 2026-09-03, while Ministral 3 (14B Reasoning 2512) was released on 2025-12-04.

Ling 3.0 Flash Fin is 9 months newer than Ministral 3 (14B Reasoning 2512).

Ling 3.0 Flash Fin

Sep 3, 2026

6 days ago

9mo newer
Ministral 3 (14B Reasoning 2512)

Dec 4, 2025

9 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Ling 3.0 Flash Fin is available from DeepInfra. Ministral 3 (14B Reasoning 2512) is available from Mistral AI.

Ling 3.0 Flash Fin

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.18/1M

Ministral 3 (14B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Ling 3.0 Flash Fin and Ministral 3 (14B Reasoning 2512) side-by-side, then vote on the output you prefer.

Ling 3.0 Flash Fin
✓ Preferred
Ministral 3 (14B Reasoning 2512)
Open in Playground

FAQ

Common questions about Ling 3.0 Flash Fin vs Ministral 3 (14B Reasoning 2512).

Which is better, Ling 3.0 Flash Fin or Ministral 3 (14B Reasoning 2512)?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.2 to 20.6. Ling 3.0 Flash Fin is made by InclusionAI and Ministral 3 (14B Reasoning 2512) is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Ling 3.0 Flash Fin compare to Ministral 3 (14B Reasoning 2512) in benchmarks?

Ling 3.0 Flash Fin scores SpreadSheetBench-v1: 86.5%, Finance Agent v1.1: 69.2%, Finance Agent v2: 59.8%, Tau3 Banking: 41.0%, APEX-Agents: 29.2%. Ministral 3 (14B Reasoning 2512) scores AIME 2024: 89.8%, AIME 2025: 85.0%, GPQA: 71.2%, LiveCodeBench: 64.6%.

Is Ling 3.0 Flash Fin cheaper than Ministral 3 (14B Reasoning 2512)?

Ling 3.0 Flash Fin is 3.3x cheaper for input tokens. Ling 3.0 Flash Fin costs $0.06/M input and $0.18/M output via deepinfra. Ministral 3 (14B Reasoning 2512) costs $0.20/M input and $0.20/M output via mistral.

What are the context window sizes for Ling 3.0 Flash Fin and Ministral 3 (14B Reasoning 2512)?

Ling 3.0 Flash Fin supports 262K tokens and Ministral 3 (14B Reasoning 2512) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Ling 3.0 Flash Fin and Ministral 3 (14B Reasoning 2512)?

Key differences include LLM Stats Score (43.2 vs 20.6), context window (262K vs 262K), input pricing ($0.06 vs $0.20/M), multimodal support (no vs yes), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Ling 3.0 Flash Fin and Ministral 3 (14B Reasoning 2512)?

Ling 3.0 Flash Fin is developed by InclusionAI and Ministral 3 (14B Reasoning 2512) is developed by Mistral AI.

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