Model Comparison

DeepSeek-V2.5 vs Pixtral-12B

DeepSeek-V2.5 significantly outperforms across most benchmarks. Pixtral-12B is 1.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-V2.5 outperforms in 4 benchmarks (HumanEval, MATH, MMLU, MT-Bench), while Pixtral-12B is better at 0 benchmarks.

DeepSeek-V2.5 significantly outperforms across most benchmarks.

Mon Apr 20 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Pixtral-12B costs less

For input processing, DeepSeek-V2.5 ($0.14/1M tokens) is 1.1x cheaper than Pixtral-12B ($0.15/1M tokens).

For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 1.9x more expensive than Pixtral-12B ($0.15/1M tokens).

In conclusion, DeepSeek-V2.5 is more expensive than Pixtral-12B.*

* 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-V2.5
Input tokens$0.14
Output tokens$0.28
Best providerDeepSeek
Mistral AI
Pixtral-12B
Input tokens$0.15
Output tokens$0.15
Best providerMistral
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Model Size

Parameter count comparison

223.6B diff

DeepSeek-V2.5 has 223.6B more parameters than Pixtral-12B, making it 1803.2% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
Mistral AI
Pixtral-12B
12.4Bparameters
236.0B
DeepSeek-V2.5
12.4B
Pixtral-12B

Context Window

Maximum input and output token capacity

Pixtral-12B accepts 128,000 input tokens compared to DeepSeek-V2.5's 8,192 tokens. Both models can generate responses up to 8,192 tokens.

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Mon Apr 20 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Pixtral-12B supports multimodal inputs, whereas DeepSeek-V2.5 does not.

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

DeepSeek-V2.5

Text
Images
Audio
Video

Pixtral-12B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V2.5 is licensed under deepseek, while Pixtral-12B uses Apache 2.0.

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

DeepSeek-V2.5

deepseek

Open weights

Pixtral-12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while Pixtral-12B was released on 2024-09-17.

Pixtral-12B is 4 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

2.0 years ago

Pixtral-12B

Sep 17, 2024

1.6 years ago

4mo 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-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. Pixtral-12B is available from Mistral AI.

DeepSeek-V2.5

deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.70/1MOutput Price:Output: $1.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M

Pixtral-12B

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

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive input tokens
Higher HumanEval score (89.0% vs 72.0%)
Higher MATH score (74.7% vs 48.1%)
Higher MMLU score (80.4% vs 69.2%)
Higher MT-Bench score (90.2% vs 76.8%)
Mistral AI
Larger context window (128,000 tokens)
Supports multimodal inputs
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V2.5
Mistral AI
Pixtral-12B

FAQ

Common questions about DeepSeek-V2.5 vs Pixtral-12B

DeepSeek-V2.5 significantly outperforms across most benchmarks. DeepSeek-V2.5 is made by DeepSeek and Pixtral-12B is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%.
DeepSeek-V2.5 is 1.1x cheaper for input tokens. DeepSeek-V2.5 costs $0.14/M input and $0.28/M output via deepseek. Pixtral-12B costs $0.15/M input and $0.15/M output via mistral.
DeepSeek-V2.5 supports 8K tokens and Pixtral-12B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (8K vs 128K), input pricing ($0.14 vs $0.15/M), multimodal support (no vs yes), licensing (deepseek vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V2.5 is developed by DeepSeek and Pixtral-12B is developed by Mistral AI.