Mistral Large 4 vs Qwen3 VL 30B A3B Thinking

Mistral Large 4 leads the LLM Stats Score 46.2 to 18.2. Qwen3 VL 30B A3B Thinking is 2.6x cheaper per token.

Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 18.2, ranking #34 overall.

On price, Qwen3 VL 30B A3B Thinking is roughly 2.6x 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 Mistral Large 4

overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
your work emphasizes reasoning and agents — 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

Choose Qwen3 VL 30B A3B Thinking

cost matters — it's about 2.6x cheaper per token
you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Better token value: Qwen3 VL 30B A3B Thinking

Mistral Large 4

Mistral AI

Qwen3 VL 30B A3B Thinking

Alibaba Cloud / Qwen Team

Core performance indexes

LLM Stats Score

46.2

#34 · 12 evals

Best

18.2

#229 · 50 evals

Reasoning

44.0

#43 · 8 evals

Best

19.5

#215 · 28 evals

Agents

34.3

#26 · 9 evals

Best

7.0

#151 · 2 evals

Cost, coverage & limits

Benchmark wins

—

Input price

$0.68 / M

$0.20 / M

Best

Output price

$2.09 / M

$0.99 / M

Best

Context window

1,000,000

Best

131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared

Index

Mistral Large 4

Qwen3 VL 30B A3B Thinking

Vision

1.1#187 · 2 evals

12.1#114 · 30 evals

Multimodal

1.7#160 · 2 evals

14.9#101 · 24 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Mistral Large 4 · 50 for Qwen3 VL 30B A3B Thinking

No common benchmarks found

Mistral Large 4 and Qwen3 VL 30B A3B Thinkingdon'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

Qwen3 VL 30B A3B Thinking costs less

For input processing, Mistral Large 4 ($0.68/1M tokens) is 3.4x more expensive than Qwen3 VL 30B A3B Thinking ($0.20/1M tokens).

For output processing, Mistral Large 4 ($2.09/1M tokens) is 2.1x more expensive than Qwen3 VL 30B A3B Thinking ($0.99/1M tokens).

In conclusion, Mistral Large 4 is more expensive than Qwen3 VL 30B A3B Thinking.*

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

Lowest available price from all providers

Thu Oct 08 2026 • llm-stats.com

Mistral Large 4

Input tokens$0.68

Output tokens$2.09

Best providerMistral

Qwen3 VL 30B A3B Thinking

Input tokens$0.20

Output tokens$0.99

Best providerNovita

Notice missing or incorrect data?

Model Size

Parameter count comparison

1019.0B diff

Mistral Large 4 has 1019.0B more parameters than Qwen3 VL 30B A3B Thinking, making it 3287.1% larger.

Mistral Large 4

1.1Tparameters

Qwen3 VL 30B A3B Thinking

31.0Bparameters

1050.0B

Mistral Large 4

31.0B

Qwen3 VL 30B A3B Thinking

Context Window

Maximum input and output token capacity

Mistral Large 4 accepts 1,000,000 input tokens compared to Qwen3 VL 30B A3B Thinking's 131,072 tokens. Only Qwen3 VL 30B A3B Thinking specifies output context (32,768 tokens).

Mistral Large 4

Input1,000,000 tokens

Output- tokens

Qwen3 VL 30B A3B Thinking

Input131,072 tokens

Output32,768 tokens

Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Large 4 and Qwen3 VL 30B A3B Thinking support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Mistral Large 4

Text

Images

Audio

Video

Qwen3 VL 30B A3B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

Mistral Large 4 is licensed under a proprietary license, while Qwen3 VL 30B A3B Thinking uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Mistral Large 4

Proprietary

Closed source

Qwen3 VL 30B A3B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.

Mistral Large 4 is 13 months newer than Qwen3 VL 30B A3B Thinking.

Mistral Large 4

Oct 6, 2026

2 days ago

1.0yr newer

Qwen3 VL 30B A3B Thinking

Sep 22, 2025

1.0 years 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

Provider Availability

Mistral Large 4 is available from Mistral AI. Qwen3 VL 30B A3B Thinking is available from Novita, DeepInfra.

Mistral Large 4

Mistral

Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M

Qwen3 VL 30B A3B Thinking

Novita

Input Price:Input: $0.20/1MOutput Price:Output: $1.00/1M

Deepinfra

Input Price:Input: $0.29/1MOutput Price:Output: $0.99/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Mistral Large 4 and Qwen3 VL 30B A3B Thinking side-by-side, then vote on the output you prefer.

Mistral Large 4

✓ Preferred

Qwen3 VL 30B A3B Thinking

Open in Playground

FAQ

Common questions about Mistral Large 4 vs Qwen3 VL 30B A3B Thinking.

Which is better, Mistral Large 4 or Qwen3 VL 30B A3B Thinking?

Mistral Large 4 leads the LLM Stats Score 46.2 to 18.2. Mistral Large 4 is made by Mistral AI and Qwen3 VL 30B A3B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Mistral Large 4 compare to Qwen3 VL 30B A3B Thinking in benchmarks?

Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%. Qwen3 VL 30B A3B Thinking scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, MMLU-Redux: 90.9%, MMBench-V1.1: 88.9%, MMLU: 87.6%.

Is Mistral Large 4 cheaper than Qwen3 VL 30B A3B Thinking?

Qwen3 VL 30B A3B Thinking is 3.4x cheaper for input tokens. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral. Qwen3 VL 30B A3B Thinking costs $0.20/M input and $0.99/M output via novita.

What are the context window sizes for Mistral Large 4 and Qwen3 VL 30B A3B Thinking?

Mistral Large 4 supports 1.0M tokens and Qwen3 VL 30B A3B Thinking supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Large 4 and Qwen3 VL 30B A3B Thinking?

Key differences include LLM Stats Score (46.2 vs 18.2), context window (1.0M vs 131K), input pricing ($0.68 vs $0.20/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 4 and Qwen3 VL 30B A3B Thinking?

Mistral Large 4 is developed by Mistral AI and Qwen3 VL 30B A3B Thinking is developed by Alibaba Cloud / Qwen Team.

Mistral Large 4 vs Qwen3 VL 30B A3B Thinking

Which is better?

Choose Mistral Large 4

Choose Qwen3 VL 30B A3B Thinking

At a glance

Capability indexes

Individual benchmarks

Human preference

Pricing Analysis

Model Size

Context Window

Input capabilities

Mistral Large 4

Qwen3 VL 30B A3B Thinking

License

Release Timeline

Knowledge Cutoff

Provider Availability

Mistral Large 4

Qwen3 VL 30B A3B Thinking

Outputs Comparison

Judge for yourself.

FAQ

Which is better, Mistral Large 4 or Qwen3 VL 30B A3B Thinking?

How does Mistral Large 4 compare to Qwen3 VL 30B A3B Thinking in benchmarks?

Is Mistral Large 4 cheaper than Qwen3 VL 30B A3B Thinking?

What are the context window sizes for Mistral Large 4 and Qwen3 VL 30B A3B Thinking?

What are the main differences between Mistral Large 4 and Qwen3 VL 30B A3B Thinking?

Who makes Mistral Large 4 and Qwen3 VL 30B A3B Thinking?

More Mistral Large 4 comparisons

More Qwen3 VL 30B A3B Thinking comparisons

Mistral Large 4 vs Qwen3 VL 30B A3B Thinking

Which is better?

Choose Mistral Large 4

Choose Qwen3 VL 30B A3B Thinking

At a glance

Capability indexes

Individual benchmarks

Human preference

Pricing Analysis

Model Size

Context Window

Input capabilities

Mistral Large 4

Qwen3 VL 30B A3B Thinking

License

Release Timeline

Knowledge Cutoff

Provider Availability

Mistral Large 4

Qwen3 VL 30B A3B Thinking

Outputs Comparison

Judge for yourself.

Which is better, Mistral Large 4 or Qwen3 VL 30B A3B Thinking?

How does Mistral Large 4 compare to Qwen3 VL 30B A3B Thinking in benchmarks?

Is Mistral Large 4 cheaper than Qwen3 VL 30B A3B Thinking?

What are the context window sizes for Mistral Large 4 and Qwen3 VL 30B A3B Thinking?

What are the main differences between Mistral Large 4 and Qwen3 VL 30B A3B Thinking?

Who makes Mistral Large 4 and Qwen3 VL 30B A3B Thinking?

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