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Ling 3.0 Flash Fin vs Magistral Medium

Ling 3.0 Flash Fin leads the LLM Stats Score 43.2 to 13.1.

InclusionAI · Mistral AI · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.2 to 13.1, ranking #41 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 43.2 and ranks #41 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Magistral Medium

  • 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
Magistral Medium
Mistral AI
Core performance indexes
LLM Stats Score
43.2
#41
13.1
#246
Reasoning
44.6
#33
13.3
#237
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.06 / M
— / M
Output price
$0.18 / M
— / M
Context window
262,144
—

Individual benchmarks

6 reported for Ling 3.0 Flash Fin · 6 for Magistral Medium

No common benchmarks found

Ling 3.0 Flash Fin and Magistral Mediumdon'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

100.0B diff

Ling 3.0 Flash Fin has 100.0B more parameters than Magistral Medium, making it 416.7% larger.

InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
Mistral AI
Magistral Medium
24.0Bparameters
124.0B
Ling 3.0 Flash Fin
24.0B
Magistral Medium

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
Magistral Medium
Input- tokens
Output- tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Magistral Medium supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.

Magistral Medium 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

Magistral Medium

Text
Images
Audio
Video

Release Timeline

When each model was launched

Ling 3.0 Flash Fin was released on 2026-09-03, while Magistral Medium was released on 2025-06-10.

Ling 3.0 Flash Fin is 15 months newer than Magistral Medium.

Ling 3.0 Flash Fin

Sep 3, 2026

1 weeks ago

1.2yr newer
Magistral Medium

Jun 10, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Magistral Medium has a documented knowledge cutoff of 2025-06-01, while Ling 3.0 Flash Fin's cutoff date is not specified.

We can confirm Magistral Medium's training data extends to 2025-06-01, but cannot make a direct comparison without Ling 3.0 Flash Fin's cutoff date.

Ling 3.0 Flash Fin

—

Magistral Medium

Jun 2025

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 Magistral Medium side-by-side, then vote on the output you prefer.

Ling 3.0 Flash Fin
✓ Preferred
Magistral Medium
Open in Playground

FAQ

Common questions about Ling 3.0 Flash Fin vs Magistral Medium.

Which is better, Ling 3.0 Flash Fin or Magistral Medium?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.2 to 13.1. Ling 3.0 Flash Fin is made by InclusionAI and Magistral Medium 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 Magistral Medium 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%. Magistral Medium scores AIME 2024: 73.6%, GPQA: 70.8%, AIME 2025: 64.9%, LiveCodeBench: 50.3%, Aider-Polyglot: 47.1%.

What are the context window sizes for Ling 3.0 Flash Fin and Magistral Medium?

Ling 3.0 Flash Fin supports 262K tokens and Magistral Medium 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 Magistral Medium?

Key differences include LLM Stats Score (43.2 vs 13.1), 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 Magistral Medium?

Ling 3.0 Flash Fin is developed by InclusionAI and Magistral Medium is developed by Mistral AI.

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