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Kimi K3.1 Pro vs Mistral Small 3.1 24B Base

Kimi K3.1 Pro leads the LLM Stats Score 55.5 to -0.1. Mistral Small 3.1 24B Base is 26.7x cheaper per token.

Moonshot AI · Mistral AI · Updated for 2026

Which is better?

Kimi K3.1 Pro leads the overall LLM Stats Score 55.5 to -0.1, 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, Mistral Small 3.1 24B Base is roughly 26.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Kimi K3.1 Pro also accepts a larger context window (1,048,576 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 — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026

Choose Mistral Small 3.1 24B Base

  • cost matters — it's about 26.7x cheaper per token
  • 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
-0.1
#362
54.3
#6
0.1
#353
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$2.00 / M
$0.10 / M
Output price
$10.00 / M
$0.30 / M
Context window
1,048,576
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Kimi K3.1 Pro
Mistral Small 3.1 24B Base
38.6#26
4.6#299
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

30 reported for Kimi K3.1 Pro · 5 for Mistral Small 3.1 24B Base

1 shared

Kimi K3.1 Pro outperforms in 1 benchmarks (GPQA), while Mistral Small 3.1 24B Base 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

Mistral Small 3.1 24B Base costs less

For input processing, Kimi K3.1 Pro ($2.00/1M tokens) is 20.0x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).

For output processing, Kimi K3.1 Pro ($10.00/1M tokens) is 33.3x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).

In conclusion, Kimi K3.1 Pro is more expensive than Mistral Small 3.1 24B Base.*

* 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
Mistral AI
Mistral Small 3.1 24B Base
Input tokens$0.10
Output tokens$0.30
Best providerMistral
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Kimi K3.1 Pro accepts 1,048,576 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. Kimi K3.1 Pro can generate longer responses up to 1,048,576 tokens, while Mistral Small 3.1 24B Base is limited to 128,000 tokens.

Moonshot AI
Kimi K3.1 Pro
Input1,048,576 tokens
Output1,048,576 tokens
Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Thu Oct 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Kimi K3.1 Pro and Mistral Small 3.1 24B Base 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

Mistral Small 3.1 24B Base

Text
Images
Audio
Video

Release Timeline

When each model was launched

Kimi K3.1 Pro was released on 2026-10-23, while Mistral Small 3.1 24B Base was released on 2025-03-17.

Kimi K3.1 Pro is 20 months newer than Mistral Small 3.1 24B Base.

Kimi K3.1 Pro

Oct 23, 2026

6 days ago

1.6yr newer
Mistral Small 3.1 24B Base

Mar 17, 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. Mistral Small 3.1 24B Base is available from Mistral AI.

Kimi K3.1 Pro

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

Mistral Small 3.1 24B Base

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* 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 Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.

Kimi K3.1 Pro
✓ Preferred
Mistral Small 3.1 24B Base
Open in Playground

FAQ

Common questions about Kimi K3.1 Pro vs Mistral Small 3.1 24B Base.

Which is better, Kimi K3.1 Pro or Mistral Small 3.1 24B Base?

Kimi K3.1 Pro leads the LLM Stats Score 55.5 to -0.1. Kimi K3.1 Pro is made by Moonshot AI and Mistral Small 3.1 24B Base 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 Kimi K3.1 Pro compare to Mistral Small 3.1 24B Base 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%. Mistral Small 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%.

Is Kimi K3.1 Pro cheaper than Mistral Small 3.1 24B Base?

Mistral Small 3.1 24B Base is 20.0x cheaper for input tokens. Kimi K3.1 Pro costs $2.00/M input and $10.00/M output via moonshot. Mistral Small 3.1 24B Base costs $0.10/M input and $0.30/M output via mistral.

What are the context window sizes for Kimi K3.1 Pro and Mistral Small 3.1 24B Base?

Kimi K3.1 Pro supports 1.0M tokens and Mistral Small 3.1 24B Base 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 Kimi K3.1 Pro and Mistral Small 3.1 24B Base?

Key differences include LLM Stats Score (55.5 vs -0.1), context window (1.0M vs 128K), input pricing ($2.00 vs $0.10/M), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K3.1 Pro and Mistral Small 3.1 24B Base?

Kimi K3.1 Pro is developed by Moonshot AI and Mistral Small 3.1 24B Base is developed by Mistral AI.