Model Comparison

DeepSeek R1 Distill Qwen 1.5B vs Pixtral LargeWhich is better in 2026?

Comparing DeepSeek R1 Distill Qwen 1.5B and Pixtral Large across benchmarks, pricing, and capabilities.

Verdict: DeepSeek R1 Distill Qwen 1.5B vs Pixtral Large — which is better?

DeepSeek R1 Distill Qwen 1.5B (by DeepSeek) and Pixtral Large (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose DeepSeek R1 Distill Qwen 1.5B if…

  • you want the most recent training data — it shipped Jan 2025

Choose Pixtral Large if…

  • you want predictable pricing at $2.00/M input and $6.00/M output
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Qwen 1.5B and Pixtral Largedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

122.2B diff

Pixtral Large has 122.2B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 6866.3% larger.

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
1.8Bparameters
Mistral AI
Pixtral Large
124.0Bparameters
1.8B
DeepSeek R1 Distill Qwen 1.5B
124.0B
Pixtral Large

Context Window

Maximum input and output token capacity

Only Pixtral Large specifies input context (128,000 tokens). Only Pixtral Large specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input- tokens
Output- tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Wed Jun 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Pixtral Large supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 1.5B does not.

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

DeepSeek R1 Distill Qwen 1.5B

Text
Images
Audio
Video

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.

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

DeepSeek R1 Distill Qwen 1.5B

MIT

Open weights

Pixtral Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while Pixtral Large was released on 2024-11-18.

DeepSeek R1 Distill Qwen 1.5B is 2 months newer than Pixtral Large.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.4 years ago

2mo newer
Pixtral Large

Nov 18, 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek

No standout differentiators in the data we have for this pair.

Mistral AI
Larger context window (128,000 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Mistral AI
Pixtral Large

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs Pixtral Large.

Which is better, DeepSeek R1 Distill Qwen 1.5B or Pixtral Large?

DeepSeek R1 Distill Qwen 1.5B (DeepSeek) and Pixtral Large (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 Distill Qwen 1.5B compare to Pixtral Large in benchmarks?

DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

What are the context window sizes for DeepSeek R1 Distill Qwen 1.5B and Pixtral Large?

DeepSeek R1 Distill Qwen 1.5B supports an unknown number of tokens and Pixtral Large 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 Distill Qwen 1.5B and Pixtral Large?

Key differences include multimodal support (no vs yes), licensing (MIT vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 1.5B and Pixtral Large?

DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and Pixtral Large is developed by Mistral AI.

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