DeepSeek-V3.2 (Non-thinking) vs Mistral NeMo Instruct Comparison

Comparing DeepSeek-V3.2 (Non-thinking) and Mistral NeMo Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3.2 (Non-thinking) and Mistral NeMo Instruct 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

Mistral NeMo Instruct costs less

For input processing, DeepSeek-V3.2 (Non-thinking) ($0.28/1M tokens) is 1.9x more expensive than Mistral NeMo Instruct ($0.15/1M tokens).

For output processing, DeepSeek-V3.2 (Non-thinking) ($0.42/1M tokens) is 2.8x more expensive than Mistral NeMo Instruct ($0.15/1M tokens).

In conclusion, DeepSeek-V3.2 (Non-thinking) is more expensive than Mistral NeMo Instruct.*

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

Lowest available price from all providers

Sat Mar 14 2026 • llm-stats.com

DeepSeek-V3.2 (Non-thinking)

Input tokens$0.28

Output tokens$0.42

Best providerDeepSeek

Mistral NeMo Instruct

Input tokens$0.15

Output tokens$0.15

Best providerGoogle

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Model Size

Parameter count comparison

673.0B diff

DeepSeek-V3.2 (Non-thinking) has 673.0B more parameters than Mistral NeMo Instruct, making it 5608.3% larger.

DeepSeek-V3.2 (Non-thinking)

685.0Bparameters

Mistral NeMo Instruct

12.0Bparameters

685.0B

DeepSeek-V3.2 (Non-thinking)

12.0B

Mistral NeMo Instruct

Context Window

Maximum input and output token capacity

DeepSeek-V3.2 (Non-thinking) accepts 131,072 input tokens compared to Mistral NeMo Instruct's 128,000 tokens. Mistral NeMo Instruct can generate longer responses up to 128,000 tokens, while DeepSeek-V3.2 (Non-thinking) is limited to 8,192 tokens.

DeepSeek-V3.2 (Non-thinking)

Input131,072 tokens

Output8,192 tokens

Mistral NeMo Instruct

Input128,000 tokens

Output128,000 tokens

Sat Mar 14 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.2 (Non-thinking) is licensed under MIT, while Mistral NeMo Instruct uses Apache 2.0.

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

DeepSeek-V3.2 (Non-thinking)

MIT

Open weights

Mistral NeMo Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2 (Non-thinking) was released on 2025-12-01, while Mistral NeMo Instruct was released on 2024-07-18.

DeepSeek-V3.2 (Non-thinking) is 17 months newer than Mistral NeMo Instruct.

DeepSeek-V3.2 (Non-thinking)

Dec 1, 2025

3 months ago

1.4yr newer

Mistral NeMo Instruct

Jul 18, 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 (Non-thinking) is available from DeepSeek. Mistral NeMo Instruct is available from Google, Mistral AI. The availability of providers can affect quality of the model and reliability.