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DeepSeek R1 Distill Llama 8B vs Ministral 8B Instruct

DeepSeek R1 Distill Llama 8B leads the LLM Stats Score 7.5 to -4.1.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek R1 Distill Llama 8B leads the overall LLM Stats Score 7.5 to -4.1, ranking #270 overall.

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

Choose DeepSeek R1 Distill Llama 8B

  • overall performance matters — it scores 7.5 and ranks #270 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jan 2025

Choose Ministral 8B Instruct

  • you want predictable pricing at $0.10/M input and $0.10/M output

At a glance

The differences that matter most.

DeepSeek R1 Distill Llama 8B
DeepSeek
Ministral 8B Instruct
Mistral AI
Core performance indexes
LLM Stats Score
7.5
#270
-4.1
#328
Reasoning
7.7
#261
-4.2
#320
Coding
2.6
#208
-14.4
#248
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.10 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Llama 8B
Ministral 8B Instruct
Math
10.9#234
-3.6#300
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 8B · 11 for Ministral 8B Instruct

No common benchmarks found

DeepSeek R1 Distill Llama 8B and Ministral 8B 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

10.2M diff

DeepSeek R1 Distill Llama 8B has 0.0B more parameters than Ministral 8B Instruct, making it 0.1% larger.

DeepSeek
DeepSeek R1 Distill Llama 8B
8.0Bparameters
Mistral AI
Ministral 8B Instruct
8.0Bparameters
8.0B
DeepSeek R1 Distill Llama 8B
8.0B
Ministral 8B Instruct

Context Window

Maximum input and output token capacity

Only Ministral 8B Instruct specifies input context (128,000 tokens). Only Ministral 8B Instruct specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
Mistral AI
Ministral 8B Instruct
Input128,000 tokens
Output128,000 tokens
Sat Aug 29 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B is licensed under MIT, while Ministral 8B Instruct uses Mistral Research License.

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

DeepSeek R1 Distill Llama 8B

MIT

Open weights

Ministral 8B Instruct

Mistral Research License

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while Ministral 8B Instruct was released on 2024-10-16.

DeepSeek R1 Distill Llama 8B is 3 months newer than Ministral 8B Instruct.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.6 years ago

3mo newer
Ministral 8B Instruct

Oct 16, 2024

1.9 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 Llama 8B and Ministral 8B Instruct side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 8B
✓ Preferred
Ministral 8B Instruct
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs Ministral 8B Instruct.

Which is better, DeepSeek R1 Distill Llama 8B or Ministral 8B Instruct?

DeepSeek R1 Distill Llama 8B leads the LLM Stats Score 7.5 to -4.1. DeepSeek R1 Distill Llama 8B is made by DeepSeek and Ministral 8B 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 Llama 8B compare to Ministral 8B Instruct in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. Ministral 8B Instruct scores MT-Bench: 83.0%, Winogrande: 75.3%, ARC-C: 71.9%, Arena Hard: 70.9%, MBPP pass@1: 70.0%.

What are the context window sizes for DeepSeek R1 Distill Llama 8B and Ministral 8B Instruct?

DeepSeek R1 Distill Llama 8B supports an unknown number of tokens and Ministral 8B 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 Llama 8B and Ministral 8B Instruct?

Key differences include LLM Stats Score (7.5 vs -4.1), licensing (MIT vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 8B and Ministral 8B Instruct?

DeepSeek R1 Distill Llama 8B is developed by DeepSeek and Ministral 8B Instruct is developed by Mistral AI.

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