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Ling 3.0 Flash vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 45.8 to 35.9. Ling 3.0 Flash is 11.5x cheaper per token.

InclusionAI · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 45.8 to 35.9, ranking #39 overall.

On price, Ling 3.0 Flash 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

  • cost matters — it's about 11.5x cheaper per token

Choose Mistral Large 4

  • overall performance matters — it scores 45.8 and ranks #39 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • 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
InclusionAI
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
35.9
#100
45.8
#39
Reasoning
35.2
#99
43.9
#48
Coding
24.4
#90
35.0
#31
Agents
19.0
#88
33.8
#34
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.06 / M
$0.68 / M
Output price
$0.18 / M
$2.09 / M
Context window
131,072
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ling 3.0 Flash
Mistral Large 4
Tool use
16.3#96
28.1#23
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Ling 3.0 Flash · 18 for Mistral Large 4

No common benchmarks found

Ling 3.0 Flash and Mistral Large 4don'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

Pricing Analysis

Price comparison per million tokens

Ling 3.0 Flash costs less

For input processing, Ling 3.0 Flash ($0.06/1M tokens) is 11.3x cheaper than Mistral Large 4 ($0.68/1M tokens).

For output processing, Ling 3.0 Flash ($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.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Oct 23 2026 • llm-stats.com
InclusionAI
Ling 3.0 Flash
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, making it 746.8% larger.

InclusionAI
Ling 3.0 Flash
124.0Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
124.0B
Ling 3.0 Flash
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's 131,072 tokens. Only Ling 3.0 Flash specifies output context (131,072 tokens).

InclusionAI
Ling 3.0 Flash
Input131,072 tokens
Output131,072 tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas Ling 3.0 Flash 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

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

Release Timeline

When each model was launched

Ling 3.0 Flash was released on 2026-08-04, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 2 months newer than Ling 3.0 Flash.

Ling 3.0 Flash

Aug 4, 2026

2 months ago

Mistral Large 4

Oct 6, 2026

2 weeks ago

2mo 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 is available from DeepInfra. Mistral Large 4 is available from Mistral AI.

Ling 3.0 Flash

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 and Mistral Large 4 side-by-side, then vote on the output you prefer.

Ling 3.0 Flash
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Ling 3.0 Flash vs Mistral Large 4.

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

Mistral Large 4 leads the LLM Stats Score 45.8 to 35.9. Ling 3.0 Flash 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 compare to Mistral Large 4 in benchmarks?

Ling 3.0 Flash scores AIME 2026: 93.2%, Multi-IF: 87.7%, HMMT Feb 26: 87.0%, IMO-AnswerBench: 83.7%, LiveCodeBench v6: 82.8%. 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 cheaper than Mistral Large 4?

Ling 3.0 Flash is 11.3x cheaper for input tokens. Ling 3.0 Flash 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 and Mistral Large 4?

Ling 3.0 Flash supports 131K 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 and Mistral Large 4?

Key differences include LLM Stats Score (35.9 vs 45.8), context window (131K 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 and Mistral Large 4?

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

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