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Ling 3.1 Flash vs Mistral Small 3.2 24B Instruct

Ling 3.1 Flash leads the LLM Stats Score 51.0 to 8.4.

InclusionAI · Mistral AI · Updated for 2026

Which is better?

Ling 3.1 Flash leads the overall LLM Stats Score 51.0 to 8.4, ranking #15 overall.

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

Choose Ling 3.1 Flash

  • overall performance matters — it scores 51.0 and ranks #15 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 3.2 24B Instruct

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

At a glance

The differences that matter most.

Core performance indexes
51.0
#15
8.4
#294
47.5
#26
7.9
#295
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.07 / M
Output price
— / M
$0.20 / M
Context window
—
128,000

Individual benchmarks

11 reported for Ling 3.1 Flash · 15 for Mistral Small 3.2 24B Instruct

No common benchmarks found

Ling 3.1 Flash and Mistral Small 3.2 24B Instructdon'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

536.4B diff

Ling 3.1 Flash has 536.4B more parameters than Mistral Small 3.2 24B Instruct, making it 2272.9% larger.

InclusionAI
Ling 3.1 Flash
560.0Bparameters
Mistral AI
Mistral Small 3.2 24B Instruct
23.6Bparameters
560.0B
Ling 3.1 Flash
23.6B
Mistral Small 3.2 24B Instruct

Context Window

Maximum input and output token capacity

Only Mistral Small 3.2 24B Instruct specifies input context (128,000 tokens). Only Mistral Small 3.2 24B Instruct specifies output context (128,000 tokens).

InclusionAI
Ling 3.1 Flash
Input- tokens
Output- tokens
Mistral AI
Mistral Small 3.2 24B Instruct
Input128,000 tokens
Output128,000 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Small 3.2 24B Instruct supports multimodal inputs, whereas Ling 3.1 Flash does not.

Mistral Small 3.2 24B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Ling 3.1 Flash

Text
Images
Audio
Video

Mistral Small 3.2 24B Instruct

Text
Images
Audio
Video

Release Timeline

When each model was launched

Ling 3.1 Flash was released on 2026-09-30, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.

Ling 3.1 Flash is 16 months newer than Mistral Small 3.2 24B Instruct.

Ling 3.1 Flash

Sep 30, 2026

1 weeks ago

1.3yr newer
Mistral Small 3.2 24B Instruct

Jun 20, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while Ling 3.1 Flash's cutoff date is not specified.

We can confirm Mistral Small 3.2 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without Ling 3.1 Flash's cutoff date.

Ling 3.1 Flash

—

Mistral Small 3.2 24B Instruct

Oct 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Ling 3.1 Flash and Mistral Small 3.2 24B Instruct side-by-side, then vote on the output you prefer.

Ling 3.1 Flash
✓ Preferred
Mistral Small 3.2 24B Instruct
Open in Playground

FAQ

Common questions about Ling 3.1 Flash vs Mistral Small 3.2 24B Instruct.

Which is better, Ling 3.1 Flash or Mistral Small 3.2 24B Instruct?

Ling 3.1 Flash leads the LLM Stats Score 51.0 to 8.4. Ling 3.1 Flash is made by InclusionAI and Mistral Small 3.2 24B Instruct 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 3.1 Flash compare to Mistral Small 3.2 24B Instruct in benchmarks?

Ling 3.1 Flash scores CyberGym: 87.9%, DRACO: 85.5%, FrontierSWE: 75.2%, Multi-Challenge: 69.8%, SkillsBench: 68.7%. Mistral Small 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%.

What are the context window sizes for Ling 3.1 Flash and Mistral Small 3.2 24B Instruct?

Ling 3.1 Flash supports an unknown number of tokens and Mistral Small 3.2 24B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Ling 3.1 Flash and Mistral Small 3.2 24B Instruct?

Key differences include LLM Stats Score (51.0 vs 8.4), multimodal support (no vs yes), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Ling 3.1 Flash and Mistral Small 3.2 24B Instruct?

Ling 3.1 Flash is developed by InclusionAI and Mistral Small 3.2 24B Instruct is developed by Mistral AI.