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DeepSeek R1 Distill Qwen 32B vs Gemma 2 27B

Comparing DeepSeek R1 Distill Qwen 32B and Gemma 2 27B across benchmarks, pricing, and capabilities.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 32B and Gemma 2 27B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Qwen 32B

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

Choose Gemma 2 27B

  • you are already invested in the Google ecosystem

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.12 / M
— / M
Output price
$0.18 / M
— / M
Context window
128,000
Released
Jan 2025
Jun 2024
License
MIT
Gemma

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Qwen 32B and Gemma 2 27Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

5.6B diff

DeepSeek R1 Distill Qwen 32B has 5.6B more parameters than Gemma 2 27B, making it 20.6% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
Google
Gemma 2 27B
27.2Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
27.2B
Gemma 2 27B

Context Window

Maximum input and output token capacity

Only DeepSeek R1 Distill Qwen 32B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Qwen 32B specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
Google
Gemma 2 27B
Input- tokens
Output- tokens
Fri Aug 28 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B is licensed under MIT, while Gemma 2 27B uses Gemma.

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

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

Gemma 2 27B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Gemma 2 27B was released on 2024-06-27.

DeepSeek R1 Distill Qwen 32B is 7 months newer than Gemma 2 27B.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.6 years ago

6mo newer
Gemma 2 27B

Jun 27, 2024

2.2 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

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 32B and Gemma 2 27B side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 32B
✓ Preferred
Gemma 2 27B
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs Gemma 2 27B.

Which is better, DeepSeek R1 Distill Qwen 32B or Gemma 2 27B?

DeepSeek R1 Distill Qwen 32B (DeepSeek) and Gemma 2 27B (Google) 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 32B compare to Gemma 2 27B in benchmarks?

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%.

What are the context window sizes for DeepSeek R1 Distill Qwen 32B and Gemma 2 27B?

DeepSeek R1 Distill Qwen 32B supports 128K tokens and Gemma 2 27B supports an unknown number of 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 32B and Gemma 2 27B?

Key differences include licensing (MIT vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 32B and Gemma 2 27B?

DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and Gemma 2 27B is developed by Google.