Model Comparison

DeepSeek R1 Distill Qwen 32B vs MiniMax M2

MiniMax M2 significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is 3.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Qwen 32B outperforms in 0 benchmarks, while MiniMax M2 is better at 2 benchmarks (GPQA, LiveCodeBench).

MiniMax M2 significantly outperforms across most benchmarks.

Sun May 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Qwen 32B costs less

For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 2.5x cheaper than MiniMax M2 ($0.30/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 6.7x cheaper than MiniMax M2 ($1.20/1M tokens).

In conclusion, MiniMax M2 is more expensive than DeepSeek R1 Distill Qwen 32B.*

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

Lowest available price from all providers
Sun May 10 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
MiniMax
MiniMax M2
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

197.2B diff

MiniMax M2 has 197.2B more parameters than DeepSeek R1 Distill Qwen 32B, making it 601.2% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
MiniMax
MiniMax M2
230.0Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
230.0B
MiniMax M2

Context Window

Maximum input and output token capacity

MiniMax M2 accepts 1,000,000 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. MiniMax M2 can generate longer responses up to 1,000,000 tokens, while DeepSeek R1 Distill Qwen 32B is limited to 128,000 tokens.

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
MiniMax
MiniMax M2
Input1,000,000 tokens
Output1,000,000 tokens
Sun May 10 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

MiniMax M2

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while MiniMax M2 was released on 2025-10-27.

MiniMax M2 is 9 months newer than DeepSeek R1 Distill Qwen 32B.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.3 years ago

MiniMax M2

Oct 27, 2025

6 months ago

9mo 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 R1 Distill Qwen 32B is available from DeepInfra. MiniMax M2 is available from MiniMax, Novita.

DeepSeek R1 Distill Qwen 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.12/1MOutput Price:Output: $0.18/1M

MiniMax M2

minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
MiniMax
Larger context window (1,000,000 tokens)
Higher GPQA score (78.0% vs 62.1%)
Higher LiveCodeBench score (83.0% vs 57.2%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 32B
MiniMax
MiniMax M2

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs MiniMax M2.

Which is better, DeepSeek R1 Distill Qwen 32B or MiniMax M2?

MiniMax M2 significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and MiniMax M2 is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Qwen 32B compare to MiniMax M2 in benchmarks?

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. MiniMax M2 scores Tau2 Telecom: 87.0%, LiveCodeBench: 83.0%, MMLU-Pro: 82.0%, AIME 2025: 78.0%, GPQA: 78.0%.

Is DeepSeek R1 Distill Qwen 32B cheaper than MiniMax M2?

DeepSeek R1 Distill Qwen 32B is 2.5x cheaper for input tokens. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/M output via deepinfra. MiniMax M2 costs $0.30/M input and $1.20/M output via minimax.

What are the context window sizes for DeepSeek R1 Distill Qwen 32B and MiniMax M2?

DeepSeek R1 Distill Qwen 32B supports 128K tokens and MiniMax M2 supports 1.0M 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 MiniMax M2?

Key differences include context window (128K vs 1.0M), input pricing ($0.12 vs $0.30/M). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 32B and MiniMax M2?

DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and MiniMax M2 is developed by MiniMax.