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Mistral Large 4 vs Mistral Small 4

Mistral Large 4 leads the LLM Stats Score 46.2 to 18.9. Mistral Small 4 is 3.9x cheaper per token.

Mistral AI · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 18.9, ranking #34 overall.

On price, Mistral Small 4 is roughly 3.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Mistral Large 4 also accepts a larger context window (1,000,000 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 Mistral Large 4

  • overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Oct 2026

Choose Mistral Small 4

  • cost matters — it's about 3.9x 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
46.2
#34
18.9
#225
44.0
#43
19.8
#208
35.8
#27
10.6
#176
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.68 / M
$0.15 / M
Output price
$2.09 / M
$0.60 / M
Context window
1,000,000
256,000

Individual benchmarks

18 reported for Mistral Large 4 · 9 for Mistral Small 4

No common benchmarks found

Mistral Large 4 and Mistral Small 4don'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

Pricing Analysis

Price comparison per million tokens

Mistral Small 4 costs less

For input processing, Mistral Large 4 ($0.68/1M tokens) is 4.5x more expensive than Mistral Small 4 ($0.15/1M tokens).

For output processing, Mistral Large 4 ($2.09/1M tokens) is 3.5x more expensive than Mistral Small 4 ($0.60/1M tokens).

In conclusion, Mistral Large 4 is more expensive than Mistral Small 4.*

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

Lowest available price from all providers
Thu Oct 08 2026 • llm-stats.com
Mistral AI
Mistral Large 4
Input tokens$0.68
Output tokens$2.09
Best providerMistral
Mistral AI
Mistral Small 4
Input tokens$0.15
Output tokens$0.60
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

931.0B diff

Mistral Large 4 has 931.0B more parameters than Mistral Small 4, making it 782.4% larger.

Mistral AI
Mistral Large 4
1.1Tparameters
Mistral AI
Mistral Small 4
119.0Bparameters
1050.0B
Mistral Large 4
119.0B
Mistral Small 4

Context Window

Maximum input and output token capacity

Mistral Large 4 accepts 1,000,000 input tokens compared to Mistral Small 4's 256,000 tokens. Only Mistral Small 4 specifies output context (256,000 tokens).

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Mistral AI
Mistral Small 4
Input256,000 tokens
Output256,000 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Large 4 and Mistral Small 4 support multimodal inputs.

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

Mistral Large 4

Text
Images
Audio
Video

Mistral Small 4

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 4 is licensed under a proprietary license, while Mistral Small 4 uses Apache 2.0.

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

Mistral Large 4

Proprietary

Closed source

Mistral Small 4

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while Mistral Small 4 was released on 2026-03-16.

Mistral Large 4 is 7 months newer than Mistral Small 4.

Mistral Large 4

Oct 6, 2026

2 days ago

6mo newer
Mistral Small 4

Mar 16, 2026

6 months 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

Mistral Large 4 is available from Mistral AI. Mistral Small 4 is available from Mistral AI.

Mistral Large 4

mistral logo
Mistral
Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M

Mistral Small 4

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Mistral Large 4 and Mistral Small 4 side-by-side, then vote on the output you prefer.

Mistral Large 4
✓ Preferred
Mistral Small 4
Open in Playground

FAQ

Common questions about Mistral Large 4 vs Mistral Small 4.

Which is better, Mistral Large 4 or Mistral Small 4?

Mistral Large 4 leads the LLM Stats Score 46.2 to 18.9. Mistral Large 4 is made by Mistral AI and Mistral Small 4 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 Mistral Large 4 compare to Mistral Small 4 in benchmarks?

Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%. Mistral Small 4 scores AIME 2025: 83.8%, MMLU-Pro: 78.0%, AA-LCR: 71.2%, GPQA: 71.2%, LiveCodeBench: 63.6%.

Is Mistral Large 4 cheaper than Mistral Small 4?

Mistral Small 4 is 4.5x cheaper for input tokens. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral. Mistral Small 4 costs $0.15/M input and $0.60/M output via mistral.

What are the context window sizes for Mistral Large 4 and Mistral Small 4?

Mistral Large 4 supports 1.0M tokens and Mistral Small 4 supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Large 4 and Mistral Small 4?

Key differences include LLM Stats Score (46.2 vs 18.9), context window (1.0M vs 256K), input pricing ($0.68 vs $0.15/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.