The AI arena is free today

Open Superagent

Kimi K3.1 Pro vs Llama 4 Scout

Kimi K3.1 Pro leads the LLM Stats Score 55.5 to 7.3. Llama 4 Scout is 29.6x cheaper per token.

Moonshot AI · Meta · Updated for 2026

Which is better?

Kimi K3.1 Pro leads the overall LLM Stats Score 55.5 to 7.3, 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.

On price, Llama 4 Scout is roughly 29.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Llama 4 Scout also accepts a larger context window (10,000,000 input tokens), making it the stronger choice for long documents and large codebases.

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

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

Choose Llama 4 Scout

  • cost matters — it's about 29.6x cheaper per token
  • you process long inputs — it offers a 10,000,000 token context window
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
55.5
#5
7.3
#319
54.3
#6
6.1
#322
42.7
#9
0.3
#273
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$2.00 / M
$0.08 / M
Output price
$10.00 / M
$0.30 / M
Context window
1,048,576
10,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Kimi K3.1 Pro
Llama 4 Scout
38.6#26
12.8#251
40.5#4
9.7#150
40.8#2
12.8#124
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

30 reported for Kimi K3.1 Pro · 12 for Llama 4 Scout

1 shared

Kimi K3.1 Pro outperforms in 1 benchmarks (GPQA), while Llama 4 Scout is better at 0 benchmarks.

Kimi K3.1 Pro significantly outperforms across most benchmarks.

Thu Oct 29 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Llama 4 Scout costs less

For input processing, Kimi K3.1 Pro ($2.00/1M tokens) is 25.0x more expensive than Llama 4 Scout ($0.08/1M tokens).

For output processing, Kimi K3.1 Pro ($10.00/1M tokens) is 33.3x more expensive than Llama 4 Scout ($0.30/1M tokens).

In conclusion, Kimi K3.1 Pro is more expensive than Llama 4 Scout.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Oct 29 2026 • llm-stats.com
Moonshot AI
Kimi K3.1 Pro
Input tokens$2.00
Output tokens$10.00
Best providerUnknown Organization
Meta
Llama 4 Scout
Input tokens$0.08
Output tokens$0.30
Best providerDeepinfra
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Llama 4 Scout accepts 10,000,000 input tokens compared to Kimi K3.1 Pro's 1,048,576 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Kimi K3.1 Pro is limited to 1,048,576 tokens.

Moonshot AI
Kimi K3.1 Pro
Input1,048,576 tokens
Output1,048,576 tokens
Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Thu Oct 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Kimi K3.1 Pro and Llama 4 Scout support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Kimi K3.1 Pro

Text
Images
Audio
Video

Llama 4 Scout

Text
Images
Audio
Video

Release Timeline

When each model was launched

Kimi K3.1 Pro was released on 2026-10-23, while Llama 4 Scout was released on 2025-04-05.

Kimi K3.1 Pro is 19 months newer than Llama 4 Scout.

Kimi K3.1 Pro

Oct 23, 2026

6 days ago

1.6yr newer
Llama 4 Scout

Apr 5, 2025

1.6 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

Provider Availability

Kimi K3.1 Pro is available from Moonshot AI. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.

Kimi K3.1 Pro

moonshot logo
Unknown Organization
Input Price:Input: $2.00/1MOutput Price:Output: $10.00/1M

Llama 4 Scout

deepinfra logo
Deepinfra
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
lambda logo
Lambda
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
groq logo
Groq
Input Price:Input: $0.11/1MOutput Price:Output: $0.34/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.59/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Kimi K3.1 Pro and Llama 4 Scout side-by-side, then vote on the output you prefer.

Kimi K3.1 Pro
✓ Preferred
Llama 4 Scout
Open in Playground

FAQ

Common questions about Kimi K3.1 Pro vs Llama 4 Scout.

Which is better, Kimi K3.1 Pro or Llama 4 Scout?

Kimi K3.1 Pro leads the LLM Stats Score 55.5 to 7.3. Kimi K3.1 Pro is made by Moonshot AI and Llama 4 Scout is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Kimi K3.1 Pro compare to Llama 4 Scout in benchmarks?

Kimi K3.1 Pro scores BabyVision: 95.4%, GPQA: 94.2%, BenchCAD (with Python tool): 92.7%, BrowseComp: 92.1%, Chartography: 90.2%. Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%.

Is Kimi K3.1 Pro cheaper than Llama 4 Scout?

Llama 4 Scout is 25.0x cheaper for input tokens. Kimi K3.1 Pro costs $2.00/M input and $10.00/M output via moonshot. Llama 4 Scout costs $0.08/M input and $0.30/M output via deepinfra.

What are the context window sizes for Kimi K3.1 Pro and Llama 4 Scout?

Kimi K3.1 Pro supports 1.0M tokens and Llama 4 Scout supports 10.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Kimi K3.1 Pro and Llama 4 Scout?

Key differences include LLM Stats Score (55.5 vs 7.3), context window (1.0M vs 10.0M), input pricing ($2.00 vs $0.08/M), licensing (Unknown vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K3.1 Pro and Llama 4 Scout?

Kimi K3.1 Pro is developed by Moonshot AI and Llama 4 Scout is developed by Meta.