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Ling 3.0 Flash Fin vs Mistral Small 3 24B Base

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to -0.2.

InclusionAI · Mistral AI · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to -0.2, ranking #39 overall.

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 43.3 and ranks #39 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Mistral Small 3 24B Base

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

At a glance

The differences that matter most.

Core performance indexes
43.3
#39
-0.2
#325
44.7
#32
-0.2
#319
Cost, coverage & limits
Benchmark wins
Input price
$0.06 / M
— / M
Output price
$0.18 / M
— / M
Context window
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ling 3.0 Flash Fin
Mistral Small 3 24B Base
36.7#5
4.9#172
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Ling 3.0 Flash Fin · 9 for Mistral Small 3 24B Base

No common benchmarks found

Ling 3.0 Flash Fin and Mistral Small 3 24B Basedon'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

Model Size

Parameter count comparison

100.4B diff

Ling 3.0 Flash Fin has 100.4B more parameters than Mistral Small 3 24B Base, making it 425.4% larger.

InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
Mistral AI
Mistral Small 3 24B Base
23.6Bparameters
124.0B
Ling 3.0 Flash Fin
23.6B
Mistral Small 3 24B Base

Context Window

Maximum input and output token capacity

Only Ling 3.0 Flash Fin specifies input context (262,144 tokens). Only Ling 3.0 Flash Fin specifies output context (262,144 tokens).

InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Mistral AI
Mistral Small 3 24B Base
Input- tokens
Output- tokens
Tue Sep 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Small 3 24B Base supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.

Mistral Small 3 24B Base 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

Mistral Small 3 24B Base

Text
Images
Audio
Video

Release Timeline

When each model was launched

Ling 3.0 Flash Fin was released on 2026-09-03, while Mistral Small 3 24B Base was released on 2025-01-30.

Ling 3.0 Flash Fin is 19 months newer than Mistral Small 3 24B Base.

Ling 3.0 Flash Fin

Sep 3, 2026

5 days ago

1.6yr newer
Mistral Small 3 24B Base

Jan 30, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

Mistral Small 3 24B Base has a documented knowledge cutoff of 2023-10-01, while Ling 3.0 Flash Fin's cutoff date is not specified.

We can confirm Mistral Small 3 24B Base's training data extends to 2023-10-01, but cannot make a direct comparison without Ling 3.0 Flash Fin's cutoff date.

Ling 3.0 Flash Fin

Mistral Small 3 24B Base

Oct 2023

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 Mistral Small 3 24B Base side-by-side, then vote on the output you prefer.

Ling 3.0 Flash Fin
✓ Preferred
Mistral Small 3 24B Base
Open in Playground

FAQ

Common questions about Ling 3.0 Flash Fin vs Mistral Small 3 24B Base.

Which is better, Ling 3.0 Flash Fin or Mistral Small 3 24B Base?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to -0.2. Ling 3.0 Flash Fin is made by InclusionAI and Mistral Small 3 24B Base 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 Mistral Small 3 24B Base 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%. Mistral Small 3 24B Base scores ARC-C: 91.3%, GSM8k: 80.7%, MMLU: 80.7%, TriviaQA: 80.3%, MBPP: 69.6%.

What are the context window sizes for Ling 3.0 Flash Fin and Mistral Small 3 24B Base?

Ling 3.0 Flash Fin supports 262K tokens and Mistral Small 3 24B Base supports an unknown number of 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 Mistral Small 3 24B Base?

Key differences include LLM Stats Score (43.3 vs -0.2), 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 Mistral Small 3 24B Base?

Ling 3.0 Flash Fin is developed by InclusionAI and Mistral Small 3 24B Base is developed by Mistral AI.