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Ling 3.0 Flash Fin vs Mistral Large 4

Ling 3.0 Flash Fin and Mistral Large 4 are closely matched at 42.9 and 45.8 on the LLM Stats Score. Ling 3.0 Flash Fin is 11.5x cheaper per token.

InclusionAI · Mistral AI · Updated for 2026

Which is better?

Ling 3.0 Flash Fin and Mistral Large 4 are closely matched on the overall LLM Stats Score at 42.9 and 45.8.

In the 1 individual benchmarks reported for both models, Ling 3.0 Flash Fin wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Ling 3.0 Flash Fin is roughly 11.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Mistral Large 4 also accepts a larger context window (1,000,000 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

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • cost matters — it's about 11.5x cheaper per token

Choose Mistral Large 4

  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Ling 3.0 Flash Fin
InclusionAI
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
42.9
#59
45.8
#39
Reasoning
44.7
#44
43.9
#48
Agents
28.6
#54
33.8
#34
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.06 / M
$0.68 / M
Output price
$0.18 / M
$2.09 / M
Context window
262,144
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ling 3.0 Flash Fin
Mistral Large 4
Tool use
20.7#65
28.1#23
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Ling 3.0 Flash Fin · 18 for Mistral Large 4

1 shared

Ling 3.0 Flash Fin outperforms in 1 benchmarks (Finance Agent v2), while Mistral Large 4 is better at 0 benchmarks.

Ling 3.0 Flash Fin significantly outperforms across most benchmarks.

Thu Oct 22 2026 • llm-stats.com

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 11.3x cheaper than Mistral Large 4 ($0.68/1M tokens).

For output processing, Ling 3.0 Flash Fin ($0.18/1M tokens) is 11.6x cheaper than Mistral Large 4 ($2.09/1M tokens).

In conclusion, Mistral Large 4 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
Thu Oct 22 2026 • llm-stats.com
InclusionAI
Ling 3.0 Flash Fin
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
Mistral AI
Mistral Large 4
Input tokens$0.68
Output tokens$2.09
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

926.0B diff

Mistral Large 4 has 926.0B more parameters than Ling 3.0 Flash Fin, making it 746.8% larger.

InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
124.0B
Ling 3.0 Flash Fin
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

Mistral Large 4 accepts 1,000,000 input tokens compared to Ling 3.0 Flash Fin's 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 4
Input1,000,000 tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.

Mistral Large 4 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 4

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 4 was released on 2026-10-06.

Mistral Large 4 is 1 month newer than Ling 3.0 Flash Fin.

Ling 3.0 Flash Fin

Sep 3, 2026

1 months ago

Mistral Large 4

Oct 6, 2026

1 weeks ago

1mo newer

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. Mistral Large 4 is available from Mistral AI.

Ling 3.0 Flash Fin

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

Mistral Large 4

mistral logo
Mistral
Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Ling 3.0 Flash Fin and Mistral Large 4 side-by-side, then vote on the output you prefer.

Ling 3.0 Flash Fin
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Ling 3.0 Flash Fin vs Mistral Large 4.

Which is better, Ling 3.0 Flash Fin or Mistral Large 4?

Ling 3.0 Flash Fin and Mistral Large 4 are closely matched on the LLM Stats Score at 42.9 and 45.8. Ling 3.0 Flash Fin is made by InclusionAI and Mistral Large 4 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 4 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 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

Is Ling 3.0 Flash Fin cheaper than Mistral Large 4?

Ling 3.0 Flash Fin is 11.3x cheaper for input tokens. Ling 3.0 Flash Fin costs $0.06/M input and $0.18/M output via deepinfra. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral.

What are the context window sizes for Ling 3.0 Flash Fin and Mistral Large 4?

Ling 3.0 Flash Fin supports 262K tokens and Mistral Large 4 supports 1.0M 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 4?

Key differences include LLM Stats Score (42.9 vs 45.8), context window (262K vs 1.0M), input pricing ($0.06 vs $0.68/M), multimodal support (no vs yes), licensing (Unknown vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Ling 3.0 Flash Fin and Mistral Large 4?

Ling 3.0 Flash Fin is developed by InclusionAI and Mistral Large 4 is developed by Mistral AI.

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