The AI arena is free today

Open Superagent

DeepSeek R1 Distill Llama 8B vs Pixtral-12B

DeepSeek R1 Distill Llama 8B leads the LLM Stats Score 7.0 to -1.6.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek R1 Distill Llama 8B leads the overall LLM Stats Score 7.0 to -1.6, ranking #297 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 7.0 and ranks #297 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jan 2025

Choose Pixtral-12B

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

At a glance

The differences that matter most.

Core performance indexes
7.0
#297
-1.6
#343
7.3
#289
-3.8
#345
2.5
#231
-2.6
#257
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.15 / M
Output price
— / M
$0.15 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Llama 8B
Pixtral-12B
10.8#250
1.0#297
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 8B · 12 for Pixtral-12B

No common benchmarks found

DeepSeek R1 Distill Llama 8B and Pixtral-12Bdon'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

4.4B diff

Pixtral-12B has 4.4B more parameters than DeepSeek R1 Distill Llama 8B, making it 54.4% larger.

DeepSeek
DeepSeek R1 Distill Llama 8B
8.0Bparameters
Mistral AI
Pixtral-12B
12.4Bparameters
8.0B
DeepSeek R1 Distill Llama 8B
12.4B
Pixtral-12B

Context Window

Maximum input and output token capacity

Only Pixtral-12B specifies input context (128,000 tokens). Only Pixtral-12B specifies output context (8,192 tokens).

DeepSeek
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Tue Sep 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Pixtral-12B supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B does not.

Pixtral-12B can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Llama 8B

Text
Images
Audio
Video

Pixtral-12B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B is licensed under MIT, while Pixtral-12B uses Apache 2.0.

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

DeepSeek R1 Distill Llama 8B

MIT

Open weights

Pixtral-12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while Pixtral-12B was released on 2024-09-17.

DeepSeek R1 Distill Llama 8B is 4 months newer than Pixtral-12B.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.7 years ago

4mo newer
Pixtral-12B

Sep 17, 2024

2.0 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

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 Pixtral-12B side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 8B
✓ Preferred
Pixtral-12B
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs Pixtral-12B.

Which is better, DeepSeek R1 Distill Llama 8B or Pixtral-12B?

DeepSeek R1 Distill Llama 8B leads the LLM Stats Score 7.0 to -1.6. DeepSeek R1 Distill Llama 8B is made by DeepSeek and Pixtral-12B 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 Pixtral-12B in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%.

What are the context window sizes for DeepSeek R1 Distill Llama 8B and Pixtral-12B?

DeepSeek R1 Distill Llama 8B supports an unknown number of tokens and Pixtral-12B 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 Pixtral-12B?

Key differences include LLM Stats Score (7.0 vs -1.6), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 8B and Pixtral-12B?

DeepSeek R1 Distill Llama 8B is developed by DeepSeek and Pixtral-12B is developed by Mistral AI.