The AI arena is free today

Open Superagent

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

DeepSeek-V3.2-Exp leads the LLM Stats Score 28.2 to 9.0. DeepSeek-V3.2-Exp is 2.5x cheaper per token.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek-V3.2-Exp leads the overall LLM Stats Score 28.2 to 9.0, ranking #134 overall.

In the 3 individual benchmarks reported for both models, DeepSeek-V3.2-Exp wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V3.2-Exp is roughly 2.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Mistral Large 3 (675B Instruct 2512) also accepts a larger context window (262,100 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

  • overall performance matters — it scores 28.2 and ranks #134 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • cost matters — it's about 2.5x cheaper per token

Choose Mistral Large 3 (675B Instruct 2512)

  • you process long inputs — it offers a 262,100 token context window
  • you want the most recent training data — it shipped Dec 2025

At a glance

The differences that matter most.

DeepSeek-V3.2-Exp
DeepSeek
Mistral Large 3 (675B Instruct 2512)
Mistral AI
Core performance indexes
LLM Stats Score
28.2
#134
9.0
#271
Reasoning
28.1
#130
9.2
#265
Coding
17.5
#119
1.5
#230
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$0.27 / M
$0.50 / M
Output price
$0.41 / M
$1.50 / M
Context window
163,840
262,100

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V3.2-Exp
Mistral Large 3 (675B Instruct 2512)
Math
26.3#103
18.9#173
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for DeepSeek-V3.2-Exp · 5 for Mistral Large 3 (675B Instruct 2512)

3 shared

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.

Sun Sep 20 2026 • llm-stats.com

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 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
Sun Sep 20 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
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

11 months ago

Mistral Large 3 (675B Instruct 2512)

Dec 4, 2025

9 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→

Judge for yourself.

Run your own prompts against DeepSeek-V3.2-Exp and Mistral Large 3 (675B Instruct 2512) side-by-side, then vote on the output you prefer.

DeepSeek-V3.2-Exp
✓ Preferred
Mistral Large 3 (675B Instruct 2512)
Open in Playground

FAQ

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

Which is better, DeepSeek-V3.2-Exp or Mistral Large 3 (675B Instruct 2512)?

DeepSeek-V3.2-Exp leads the LLM Stats Score 28.2 to 9.0. 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 capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V3.2-Exp compare to Mistral Large 3 (675B Instruct 2512) 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 3 (675B Instruct 2512) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

Is DeepSeek-V3.2-Exp cheaper than Mistral Large 3 (675B Instruct 2512)?

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.

What are the context window sizes for DeepSeek-V3.2-Exp and Mistral Large 3 (675B Instruct 2512)?

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.

What are the main differences between DeepSeek-V3.2-Exp and Mistral Large 3 (675B Instruct 2512)?

Key differences include LLM Stats Score (28.2 vs 9.0), 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.

Who makes DeepSeek-V3.2-Exp and Mistral Large 3 (675B Instruct 2512)?

DeepSeek-V3.2-Exp is developed by DeepSeek and Mistral Large 3 (675B Instruct 2512) is developed by Mistral AI.

Related comparisons