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DeepSeek R1 Distill Qwen 14B vs Mistral NeMo Instruct

DeepSeek R1 Distill Qwen 14B leads the LLM Stats Score 11.3 to -4.5.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 14B leads the overall LLM Stats Score 11.3 to -4.5, ranking #239 overall.

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

Choose DeepSeek R1 Distill Qwen 14B

  • overall performance matters — it scores 11.3 and ranks #239 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jan 2025

Choose Mistral NeMo Instruct

  • you want predictable pricing at $0.15/M input and $0.15/M output

At a glance

The differences that matter most.

DeepSeek R1 Distill Qwen 14B
DeepSeek
Mistral NeMo Instruct
Mistral AI
Core performance indexes
LLM Stats Score
11.3
#239
-4.5
#334
Reasoning
11.6
#236
-4.8
#325
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.15 / M
Output price
— / M
$0.15 / M
Context window
—
128,000

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 14B · 8 for Mistral NeMo Instruct

No common benchmarks found

DeepSeek R1 Distill Qwen 14B and Mistral NeMo Instructdon'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

2.8B diff

DeepSeek R1 Distill Qwen 14B has 2.8B more parameters than Mistral NeMo Instruct, making it 23.3% larger.

DeepSeek
DeepSeek R1 Distill Qwen 14B
14.8Bparameters
Mistral AI
Mistral NeMo Instruct
12.0Bparameters
14.8B
DeepSeek R1 Distill Qwen 14B
12.0B
Mistral NeMo Instruct

Context Window

Maximum input and output token capacity

Only Mistral NeMo Instruct specifies input context (128,000 tokens). Only Mistral NeMo Instruct specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
Mistral AI
Mistral NeMo Instruct
Input128,000 tokens
Output128,000 tokens
Sat Aug 29 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Mistral NeMo Instruct uses Apache 2.0.

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 NeMo Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Mistral NeMo Instruct was released on 2024-07-18.

DeepSeek R1 Distill Qwen 14B is 6 months newer than Mistral NeMo Instruct.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.6 years ago

6mo newer
Mistral NeMo Instruct

Jul 18, 2024

2.1 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

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

DeepSeek R1 Distill Qwen 14B
✓ Preferred
Mistral NeMo Instruct
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs Mistral NeMo Instruct.

Which is better, DeepSeek R1 Distill Qwen 14B or Mistral NeMo Instruct?

DeepSeek R1 Distill Qwen 14B leads the LLM Stats Score 11.3 to -4.5. DeepSeek R1 Distill Qwen 14B is made by DeepSeek and Mistral NeMo Instruct 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 NeMo Instruct in benchmarks?

DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. Mistral NeMo Instruct scores HellaSwag: 83.5%, Winogrande: 76.8%, TriviaQA: 73.8%, CommonSenseQA: 70.4%, MMLU: 68.0%.

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

DeepSeek R1 Distill Qwen 14B supports an unknown number of tokens and Mistral NeMo Instruct supports 128K 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 NeMo Instruct?

Key differences include LLM Stats Score (11.3 vs -4.5), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 14B and Mistral NeMo Instruct?

DeepSeek R1 Distill Qwen 14B is developed by DeepSeek and Mistral NeMo Instruct is developed by Mistral AI.

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