Model Comparison

DeepSeek-R1-0528 vs Pixtral-12B

Comparing DeepSeek-R1-0528 and Pixtral-12B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1-0528 and Pixtral-12B 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

Pixtral-12B costs less

For input processing, DeepSeek-R1-0528 ($0.50/1M tokens) is 3.3x more expensive than Pixtral-12B ($0.15/1M tokens).

For output processing, DeepSeek-R1-0528 ($2.15/1M tokens) is 14.3x more expensive than Pixtral-12B ($0.15/1M tokens).

In conclusion, DeepSeek-R1-0528 is more expensive than Pixtral-12B.*

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

Lowest available price from all providers
Fri May 08 2026 • llm-stats.com
DeepSeek
DeepSeek-R1-0528
Input tokens$0.50
Output tokens$2.15
Best providerDeepinfra
Mistral AI
Pixtral-12B
Input tokens$0.15
Output tokens$0.15
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

658.6B diff

DeepSeek-R1-0528 has 658.6B more parameters than Pixtral-12B, making it 5311.3% larger.

DeepSeek
DeepSeek-R1-0528
671.0Bparameters
Mistral AI
Pixtral-12B
12.4Bparameters
671.0B
DeepSeek-R1-0528
12.4B
Pixtral-12B

Context Window

Maximum input and output token capacity

DeepSeek-R1-0528 accepts 131,072 input tokens compared to Pixtral-12B's 128,000 tokens. DeepSeek-R1-0528 can generate longer responses up to 131,072 tokens, while Pixtral-12B is limited to 8,192 tokens.

DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Fri May 08 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Pixtral-12B supports multimodal inputs, whereas DeepSeek-R1-0528 does not.

Pixtral-12B can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-R1-0528

Text
Images
Audio
Video

Pixtral-12B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-R1-0528 is licensed under MIT, while Pixtral-12B uses Apache 2.0.

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

DeepSeek-R1-0528

MIT

Open weights

Pixtral-12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while Pixtral-12B was released on 2024-09-17.

DeepSeek-R1-0528 is 8 months newer than Pixtral-12B.

DeepSeek-R1-0528

May 28, 2025

11 months ago

8mo newer
Pixtral-12B

Sep 17, 2024

1.6 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-R1-0528 is available from DeepInfra, DeepSeek, Novita. Pixtral-12B is available from Mistral AI.

DeepSeek-R1-0528

deepinfra logo
Deepinfra
Input Price:Input: $0.50/1MOutput Price:Output: $2.15/1M
deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.70/1MOutput Price:Output: $2.50/1M

Pixtral-12B

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
Mistral AI
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
Mistral AI
Pixtral-12B

FAQ

Common questions about DeepSeek-R1-0528 vs Pixtral-12B.

Which is better, DeepSeek-R1-0528 or Pixtral-12B?

DeepSeek-R1-0528 (DeepSeek) and Pixtral-12B (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-R1-0528 compare to Pixtral-12B in benchmarks?

DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%.

Is DeepSeek-R1-0528 cheaper than Pixtral-12B?

Pixtral-12B is 3.3x cheaper for input tokens. DeepSeek-R1-0528 costs $0.50/M input and $2.15/M output via deepinfra. Pixtral-12B costs $0.15/M input and $0.15/M output via mistral.

What are the context window sizes for DeepSeek-R1-0528 and Pixtral-12B?

DeepSeek-R1-0528 supports 131K tokens and Pixtral-12B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-R1-0528 and Pixtral-12B?

Key differences include context window (131K vs 128K), input pricing ($0.50 vs $0.15/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-R1-0528 and Pixtral-12B?

DeepSeek-R1-0528 is developed by DeepSeek and Pixtral-12B is developed by Mistral AI.