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DeepSeek R1 Distill Qwen 14B vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 46.2 to 10.9.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 10.9, ranking #34 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Qwen 14B

  • you need open weights you can self-host or fine-tune

Choose Mistral Large 4

  • overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

DeepSeek R1 Distill Qwen 14B
DeepSeek
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
10.9
#276
46.2
#34
Reasoning
11.2
#272
44.0
#43
Coding
5.4
#212
35.8
#27
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.68 / M
Output price
— / M
$2.09 / M
Context window
—
1,000,000

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 14B · 18 for Mistral Large 4

No common benchmarks found

DeepSeek R1 Distill Qwen 14B 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

Model Size

Parameter count comparison

1035.2B diff

Mistral Large 4 has 1035.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 6994.6% larger.

DeepSeek
DeepSeek R1 Distill Qwen 14B
14.8Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
14.8B
DeepSeek R1 Distill Qwen 14B
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

Only Mistral Large 4 specifies input context (1,000,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Wed Oct 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 14B does not.

Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Qwen 14B

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Mistral Large 4 uses a proprietary license.

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

DeepSeek R1 Distill Qwen 14B

MIT

Open weights

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 21 months newer than DeepSeek R1 Distill Qwen 14B.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.7 years ago

Mistral Large 4

Oct 6, 2026

1 days ago

1.7yr 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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 14B and Mistral Large 4 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 14B
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs Mistral Large 4.

Which is better, DeepSeek R1 Distill Qwen 14B or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 46.2 to 10.9. DeepSeek R1 Distill Qwen 14B is made by DeepSeek 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 DeepSeek R1 Distill Qwen 14B compare to Mistral Large 4 in benchmarks?

DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

What are the context window sizes for DeepSeek R1 Distill Qwen 14B and Mistral Large 4?

DeepSeek R1 Distill Qwen 14B supports an unknown number of 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 DeepSeek R1 Distill Qwen 14B and Mistral Large 4?

Key differences include LLM Stats Score (10.9 vs 46.2), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 14B and Mistral Large 4?

DeepSeek R1 Distill Qwen 14B is developed by DeepSeek and Mistral Large 4 is developed by Mistral AI.

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