Model Comparison

Mistral Small 3.1 24B Base vs Pixtral Large

Pixtral Large significantly outperforms across most benchmarks. Mistral Small 3.1 24B Base is 20.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Mistral Small 3.1 24B Base outperforms in 0 benchmarks, while Pixtral Large is better at 1 benchmark (MMMU).

Pixtral Large significantly outperforms across most benchmarks.

Fri May 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Small 3.1 24B Base costs less

For input processing, Mistral Small 3.1 24B Base ($0.10/1M tokens) is 20.0x cheaper than Pixtral Large ($2.00/1M tokens).

For output processing, Mistral Small 3.1 24B Base ($0.30/1M tokens) is 20.0x cheaper than Pixtral Large ($6.00/1M tokens).

In conclusion, Pixtral Large 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
Fri May 01 2026 • llm-stats.com
Mistral AI
Mistral Small 3.1 24B Base
Input tokens$0.10
Output tokens$0.30
Best providerMistral
Mistral AI
Pixtral Large
Input tokens$2.00
Output tokens$6.00
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

100.0B diff

Pixtral Large has 100.0B more parameters than Mistral Small 3.1 24B Base, making it 416.7% larger.

Mistral AI
Mistral Small 3.1 24B Base
24.0Bparameters
Mistral AI
Pixtral Large
124.0Bparameters
24.0B
Mistral Small 3.1 24B Base
124.0B
Pixtral Large

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Mistral Small 3.1 24B Base and Pixtral Large support multimodal inputs.

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

Mistral Small 3.1 24B Base

Text
Images
Audio
Video

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Small 3.1 24B Base is licensed under Apache 2.0, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.

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

Mistral Small 3.1 24B Base

Apache 2.0

Open weights

Pixtral Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Release Timeline

When each model was launched

Mistral Small 3.1 24B Base was released on 2025-03-17, while Pixtral Large was released on 2024-11-18.

Mistral Small 3.1 24B Base is 4 months newer than Pixtral Large.

Mistral Small 3.1 24B Base

Mar 17, 2025

1.1 years ago

3mo newer
Pixtral Large

Nov 18, 2024

1.4 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

Mistral Small 3.1 24B Base is available from Mistral AI. Pixtral Large is available from Mistral AI.

Mistral Small 3.1 24B Base

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

Pixtral Large

mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Mistral AI
Less expensive input tokens
Less expensive output tokens
Mistral AI
Higher MMMU score (64.0% vs 59.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Mistral Small 3.1 24B Base
Mistral AI
Pixtral Large

FAQ

Common questions about Mistral Small 3.1 24B Base vs Pixtral Large

Pixtral Large significantly outperforms across most benchmarks. Mistral Small 3.1 24B Base is made by Mistral AI and Pixtral Large is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Mistral Small 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.
Mistral Small 3.1 24B Base is 20.0x cheaper for input tokens. Mistral Small 3.1 24B Base costs $0.10/M input and $0.30/M output via mistral. Pixtral Large costs $2.00/M input and $6.00/M output via mistral.
Mistral Small 3.1 24B Base supports 128K tokens and Pixtral Large supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($0.10 vs $2.00/M), licensing (Apache 2.0 vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.