DeepSeek-V3.1 vs Mistral Large 3 Comparison

Comparing DeepSeek-V3.1 and Mistral Large 3 across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V3.1 outperforms in 1 benchmarks (MMLU-Redux), while Mistral Large 3 is better at 0 benchmarks.

DeepSeek-V3.1 significantly outperforms across most benchmarks.

Sat Mar 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.1 costs less

For input processing, DeepSeek-V3.1 ($0.27/1M tokens) is 7.4x cheaper than Mistral Large 3 ($2.00/1M tokens).

For output processing, DeepSeek-V3.1 ($1.00/1M tokens) is 5.0x cheaper than Mistral Large 3 ($5.00/1M tokens).

In conclusion, Mistral Large 3 is more expensive than DeepSeek-V3.1.*

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

Lowest available price from all providers
Sat Mar 14 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
Mistral AI
Mistral Large 3
Input tokens$2.00
Output tokens$5.00
Best providerMistral
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

4.0B diff

Mistral Large 3 has 4.0B more parameters than DeepSeek-V3.1, making it 0.6% larger.

DeepSeek
DeepSeek-V3.1
671.0Bparameters
Mistral AI
Mistral Large 3
675.0Bparameters
671.0B
DeepSeek-V3.1
675.0B
Mistral Large 3

Context Window

Maximum input and output token capacity

DeepSeek-V3.1 accepts 163,840 input tokens compared to Mistral Large 3's 128,000 tokens. DeepSeek-V3.1 can generate longer responses up to 163,840 tokens, while Mistral Large 3 is limited to 8,192 tokens.

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Mistral AI
Mistral Large 3
Input128,000 tokens
Output8,192 tokens
Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Large 3 supports multimodal inputs, whereas DeepSeek-V3.1 does not.

Mistral Large 3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3.1

Text
Images
Audio
Video

Mistral Large 3

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.1 is licensed under MIT, while Mistral Large 3 uses Apache 2.0.

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

DeepSeek-V3.1

MIT

Open weights

Mistral Large 3

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while Mistral Large 3 was released on 2025-09-01.

Mistral Large 3 is 8 months newer than DeepSeek-V3.1.

DeepSeek-V3.1

Jan 10, 2025

1.2 years ago

Mistral Large 3

Sep 1, 2025

6 months ago

7mo 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

Provider Availability

DeepSeek-V3.1 is available from DeepInfra, Novita. Mistral Large 3 is available from Mistral AI. The availability of providers can affect quality of the model and reliability.

DeepSeek-V3.1

deepinfra logo
Deepinfra
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M
novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M

Mistral Large 3

mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $5.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (163,840 tokens)
Less expensive input tokens
Less expensive output tokens
Higher MMLU-Redux score (91.8% vs 82.0%)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.1
Mistral AI
Mistral Large 3