The AI arena is free today

Open Superagent

DeepSeek R1 Distill Llama 8B vs Kimi K3.1 Pro

Kimi K3.1 Pro leads the LLM Stats Score 55.5 to 6.4.

DeepSeek · Moonshot AI · Updated for 2026

Which is better?

Kimi K3.1 Pro leads the overall LLM Stats Score 55.5 to 6.4, ranking #5 overall.

In the 1 individual benchmarks reported for both models, Kimi K3.1 Pro wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose DeepSeek R1 Distill Llama 8B

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

Choose Kimi K3.1 Pro

  • overall performance matters — it scores 55.5 and ranks #5 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
6.4
#326
55.5
#5
6.8
#318
54.3
#6
2.4
#258
42.7
#9
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$2.00 / M
Output price
— / M
$10.00 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Llama 8B
Kimi K3.1 Pro
10.7#268
38.6#26
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 8B · 30 for Kimi K3.1 Pro

1 shared

DeepSeek R1 Distill Llama 8B outperforms in 0 benchmarks, while Kimi K3.1 Pro is better at 1 benchmark (GPQA).

Kimi K3.1 Pro significantly outperforms across most benchmarks.

Fri Oct 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Kimi K3.1 Pro specifies input context (1,048,576 tokens). Only Kimi K3.1 Pro specifies output context (1,048,576 tokens).

DeepSeek
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
Moonshot AI
Kimi K3.1 Pro
Input1,048,576 tokens
Output1,048,576 tokens
Fri Oct 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Kimi K3.1 Pro supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B does not.

Kimi K3.1 Pro 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

Kimi K3.1 Pro

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while Kimi K3.1 Pro was released on 2026-10-23.

Kimi K3.1 Pro is 21 months newer than DeepSeek R1 Distill Llama 8B.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.8 years ago

Kimi K3.1 Pro

Oct 23, 2026

4 days ago

1.8yr 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 Llama 8B and Kimi K3.1 Pro side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 8B
✓ Preferred
Kimi K3.1 Pro
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs Kimi K3.1 Pro.

Which is better, DeepSeek R1 Distill Llama 8B or Kimi K3.1 Pro?

Kimi K3.1 Pro leads the LLM Stats Score 55.5 to 6.4. DeepSeek R1 Distill Llama 8B is made by DeepSeek and Kimi K3.1 Pro is made by Moonshot 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 Kimi K3.1 Pro in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. Kimi K3.1 Pro scores BabyVision: 95.4%, GPQA: 94.2%, BenchCAD (with Python tool): 92.7%, BrowseComp: 92.1%, Chartography: 90.2%.

What are the context window sizes for DeepSeek R1 Distill Llama 8B and Kimi K3.1 Pro?

DeepSeek R1 Distill Llama 8B supports an unknown number of tokens and Kimi K3.1 Pro 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 Llama 8B and Kimi K3.1 Pro?

Key differences include LLM Stats Score (6.4 vs 55.5), multimodal support (no vs yes), licensing (MIT vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 8B and Kimi K3.1 Pro?

DeepSeek R1 Distill Llama 8B is developed by DeepSeek and Kimi K3.1 Pro is developed by Moonshot AI.