Model Comparison

DeepSeek-V3.2-Exp vs Mistral Large 3 (675B Instruct 2512)

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is 2.5x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3.2-Exp outperforms in 3 benchmarks (GPQA, LiveCodeBench, SimpleQA), while Mistral Large 3 (675B Instruct 2512) is better at 0 benchmarks.

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Exp costs less

For input processing, DeepSeek-V3.2-Exp ($0.27/1M tokens) is 1.9x cheaper than Mistral Large 3 (675B Instruct 2512) ($0.50/1M tokens).

For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 3.7x cheaper than Mistral Large 3 (675B Instruct 2512) ($1.50/1M tokens).

In conclusion, Mistral Large 3 (675B Instruct 2512) is more expensive than DeepSeek-V3.2-Exp.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input tokens$0.50
Output tokens$1.50
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

10.0B diff

DeepSeek-V3.2-Exp has 10.0B more parameters than Mistral Large 3 (675B Instruct 2512), making it 1.5% larger.

DeepSeek
DeepSeek-V3.2-Exp
685.0Bparameters
Mistral AI
Mistral Large 3 (675B Instruct 2512)
675.0Bparameters
685.0B
DeepSeek-V3.2-Exp
675.0B
Mistral Large 3 (675B Instruct 2512)

Context Window

Maximum input and output token capacity

Mistral Large 3 (675B Instruct 2512) accepts 262,100 input tokens compared to DeepSeek-V3.2-Exp's 163,840 tokens. Mistral Large 3 (675B Instruct 2512) can generate longer responses up to 262,100 tokens, while DeepSeek-V3.2-Exp is limited to 65,536 tokens.

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input262,100 tokens
Output262,100 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Large 3 (675B Instruct 2512) supports multimodal inputs, whereas DeepSeek-V3.2-Exp does not.

Mistral Large 3 (675B Instruct 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3.2-Exp

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, while Mistral Large 3 (675B Instruct 2512) uses Apache 2.0.

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

DeepSeek-V3.2-Exp

MIT

Open weights

Mistral Large 3 (675B Instruct 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Mistral Large 3 (675B Instruct 2512) was released on 2025-12-04.

Mistral Large 3 (675B Instruct 2512) is 2 months newer than DeepSeek-V3.2-Exp.

DeepSeek-V3.2-Exp

Sep 29, 2025

6 months ago

Mistral Large 3 (675B Instruct 2512)

Dec 4, 2025

4 months ago

2mo 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-V3.2-Exp is available from Novita. Mistral Large 3 (675B Instruct 2512) is available from Mistral AI.

DeepSeek-V3.2-Exp

novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $0.41/1M

Mistral Large 3 (675B Instruct 2512)

mistral logo
Mistral
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (79.9% vs 43.9%)
Higher LiveCodeBench score (74.1% vs 34.4%)
Higher SimpleQA score (97.1% vs 23.8%)
Mistral AI
Larger context window (262,100 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Exp
Mistral AI
Mistral Large 3 (675B Instruct 2512)

FAQ

Common questions about DeepSeek-V3.2-Exp vs Mistral Large 3 (675B Instruct 2512)

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is made by DeepSeek and Mistral Large 3 (675B Instruct 2512) is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%. Mistral Large 3 (675B Instruct 2512) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.
DeepSeek-V3.2-Exp is 1.9x cheaper for input tokens. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita. Mistral Large 3 (675B Instruct 2512) costs $0.50/M input and $1.50/M output via mistral.
DeepSeek-V3.2-Exp supports 164K tokens and Mistral Large 3 (675B Instruct 2512) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (164K vs 262K), input pricing ($0.27 vs $0.50/M), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3.2-Exp is developed by DeepSeek and Mistral Large 3 (675B Instruct 2512) is developed by Mistral AI.