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DeepSeek-V3.2-Exp vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 45.8 to 27.7. DeepSeek-V3.2-Exp is 3.4x cheaper per token.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 45.8 to 27.7, ranking #39 overall.

On price, DeepSeek-V3.2-Exp is roughly 3.4x 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 DeepSeek-V3.2-Exp

  • cost matters — it's about 3.4x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Mistral Large 4

  • overall performance matters — it scores 45.8 and ranks #39 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

At a glance

The differences that matter most.

DeepSeek-V3.2-Exp
DeepSeek
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
27.7
#160
45.8
#39
Reasoning
27.6
#156
43.9
#48
Coding
17.1
#143
35.0
#31
Agents
5.6
#166
33.8
#34
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.27 / M
$0.68 / M
Output price
$0.41 / M
$2.09 / M
Context window
163,840
1,000,000

Individual benchmarks

14 reported for DeepSeek-V3.2-Exp · 18 for Mistral Large 4

No common benchmarks found

DeepSeek-V3.2-Exp and Mistral Large 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

DeepSeek-V3.2-Exp costs less

For input processing, DeepSeek-V3.2-Exp ($0.27/1M tokens) is 2.5x cheaper than Mistral Large 4 ($0.68/1M tokens).

For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 5.1x cheaper than Mistral Large 4 ($2.09/1M tokens).

In conclusion, Mistral Large 4 is more expensive than DeepSeek-V3.2-Exp.*

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

Lowest available price from all providers
Fri Oct 23 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
Mistral AI
Mistral Large 4
Input tokens$0.68
Output tokens$2.09
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

365.0B diff

Mistral Large 4 has 365.0B more parameters than DeepSeek-V3.2-Exp, making it 53.3% larger.

DeepSeek
DeepSeek-V3.2-Exp
685.0Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
685.0B
DeepSeek-V3.2-Exp
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

Mistral Large 4 accepts 1,000,000 input tokens compared to DeepSeek-V3.2-Exp's 163,840 tokens. Only DeepSeek-V3.2-Exp specifies output context (65,536 tokens).

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas DeepSeek-V3.2-Exp does not.

Mistral Large 4 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 4

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, while Mistral Large 4 uses a proprietary license.

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 4

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 12 months newer than DeepSeek-V3.2-Exp.

DeepSeek-V3.2-Exp

Sep 29, 2025

1.1 years ago

Mistral Large 4

Oct 6, 2026

1 weeks ago

1.0yr 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 4 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 4

mistral logo
Mistral
Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V3.2-Exp and Mistral Large 4 side-by-side, then vote on the output you prefer.

DeepSeek-V3.2-Exp
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about DeepSeek-V3.2-Exp vs Mistral Large 4.

Which is better, DeepSeek-V3.2-Exp or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 45.8 to 27.7. DeepSeek-V3.2-Exp is made by DeepSeek and Mistral Large 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 DeepSeek-V3.2-Exp compare to Mistral Large 4 in benchmarks?

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 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

Is DeepSeek-V3.2-Exp cheaper than Mistral Large 4?

DeepSeek-V3.2-Exp is 2.5x cheaper for input tokens. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral.

What are the context window sizes for DeepSeek-V3.2-Exp and Mistral Large 4?

DeepSeek-V3.2-Exp supports 164K tokens and Mistral Large 4 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3.2-Exp and Mistral Large 4?

Key differences include LLM Stats Score (27.7 vs 45.8), context window (164K vs 1.0M), input pricing ($0.27 vs $0.68/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2-Exp and Mistral Large 4?

DeepSeek-V3.2-Exp is developed by DeepSeek and Mistral Large 4 is developed by Mistral AI.

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