Model Comparison

DeepSeek-V3.2-Exp vs Mistral Large 2

Comparing DeepSeek-V3.2-Exp and Mistral Large 2 across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3.2-Exp and Mistral Large 2 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

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 7.4x cheaper than Mistral Large 2 ($2.00/1M tokens).

For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 14.6x cheaper than Mistral Large 2 ($6.00/1M tokens).

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

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

Lowest available price from all providers
Mon Apr 20 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
Mistral AI
Mistral Large 2
Input tokens$2.00
Output tokens$6.00
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

562.0B diff

DeepSeek-V3.2-Exp has 562.0B more parameters than Mistral Large 2, making it 456.9% larger.

DeepSeek
DeepSeek-V3.2-Exp
685.0Bparameters
Mistral AI
Mistral Large 2
123.0Bparameters
685.0B
DeepSeek-V3.2-Exp
123.0B
Mistral Large 2

Context Window

Maximum input and output token capacity

DeepSeek-V3.2-Exp accepts 163,840 input tokens compared to Mistral Large 2's 128,000 tokens. Mistral Large 2 can generate longer responses up to 128,000 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 2
Input128,000 tokens
Output128,000 tokens
Mon Apr 20 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, while Mistral Large 2 uses Mistral Research 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 2

Mistral Research License

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Mistral Large 2 was released on 2024-07-24.

DeepSeek-V3.2-Exp is 14 months newer than Mistral Large 2.

DeepSeek-V3.2-Exp

Sep 29, 2025

6 months ago

1.2yr newer
Mistral Large 2

Jul 24, 2024

1.7 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

DeepSeek-V3.2-Exp is available from Novita. Mistral Large 2 is available from Google, Mistral AI.

DeepSeek-V3.2-Exp

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

Mistral Large 2

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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (163,840 tokens)
Less expensive input tokens
Less expensive output tokens
Mistral AI

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Exp
Mistral AI
Mistral Large 2

FAQ

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

DeepSeek-V3.2-Exp (DeepSeek) and Mistral Large 2 (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
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 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.
DeepSeek-V3.2-Exp is 7.4x cheaper for input tokens. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita. Mistral Large 2 costs $2.00/M input and $6.00/M output via google.
DeepSeek-V3.2-Exp supports 164K tokens and Mistral Large 2 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (164K vs 128K), input pricing ($0.27 vs $2.00/M), licensing (MIT vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3.2-Exp is developed by DeepSeek and Mistral Large 2 is developed by Mistral AI.