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Ling 3.0 Flash Fin vs Mistral Large 3 (675B Instruct 2512 NVFP4)

Ling 3.0 Flash Fin leads the LLM Stats Score 43.0 to 8.9.

InclusionAI · Mistral AI · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.0 to 8.9, ranking #46 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 43.0 and ranks #46 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 Large 3 (675B Instruct 2512 NVFP4)

  • 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
Mistral Large 3 (675B Instruct 2512 NVFP4)
Mistral AI
Core performance indexes
LLM Stats Score
43.0
#46
8.9
#277
Reasoning
44.1
#36
9.1
#269
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 · 5 for Mistral Large 3 (675B Instruct 2512 NVFP4)

No common benchmarks found

Ling 3.0 Flash Fin and Mistral Large 3 (675B Instruct 2512 NVFP4)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

Model Size

Parameter count comparison

551.0B diff

Mistral Large 3 (675B Instruct 2512 NVFP4) has 551.0B more parameters than Ling 3.0 Flash Fin, making it 444.4% larger.

InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
675.0Bparameters
124.0B
Ling 3.0 Flash Fin
675.0B
Mistral Large 3 (675B Instruct 2512 NVFP4)

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 Large 3 (675B Instruct 2512 NVFP4)
Input- tokens
Output- tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 3 (675B Instruct 2512 NVFP4) supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.

Mistral Large 3 (675B Instruct 2512 NVFP4) 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 Large 3 (675B Instruct 2512 NVFP4)

Text
Images
Audio
Video

Release Timeline

When each model was launched

Ling 3.0 Flash Fin was released on 2026-09-03, while Mistral Large 3 (675B Instruct 2512 NVFP4) was released on 2025-12-04.

Ling 3.0 Flash Fin is 9 months newer than Mistral Large 3 (675B Instruct 2512 NVFP4).

Ling 3.0 Flash Fin

Sep 3, 2026

2 weeks ago

9mo newer
Mistral Large 3 (675B Instruct 2512 NVFP4)

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

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 Large 3 (675B Instruct 2512 NVFP4) side-by-side, then vote on the output you prefer.

Ling 3.0 Flash Fin
✓ Preferred
Mistral Large 3 (675B Instruct 2512 NVFP4)
Open in Playground

FAQ

Common questions about Ling 3.0 Flash Fin vs Mistral Large 3 (675B Instruct 2512 NVFP4).

Which is better, Ling 3.0 Flash Fin or Mistral Large 3 (675B Instruct 2512 NVFP4)?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.0 to 8.9. Ling 3.0 Flash Fin is made by InclusionAI and Mistral Large 3 (675B Instruct 2512 NVFP4) 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 Large 3 (675B Instruct 2512 NVFP4) 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 Large 3 (675B Instruct 2512 NVFP4) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

What are the context window sizes for Ling 3.0 Flash Fin and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Ling 3.0 Flash Fin supports 262K tokens and Mistral Large 3 (675B Instruct 2512 NVFP4) 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 Large 3 (675B Instruct 2512 NVFP4)?

Key differences include LLM Stats Score (43.0 vs 8.9), 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 Large 3 (675B Instruct 2512 NVFP4)?

Ling 3.0 Flash Fin is developed by InclusionAI and Mistral Large 3 (675B Instruct 2512 NVFP4) is developed by Mistral AI.

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