Model Comparison

MiniMax M2 vs Qwen3-Coder

Comparing MiniMax M2 and Qwen3-Coder across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

MiniMax M2 and Qwen3-Coder 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

Qwen3-Coder costs less

For input processing, MiniMax M2 ($0.30/1M tokens) is 1.7x more expensive than Qwen3-Coder ($0.18/1M tokens).

For output processing, MiniMax M2 ($1.20/1M tokens) is 6.7x more expensive than Qwen3-Coder ($0.18/1M tokens).

In conclusion, MiniMax M2 is more expensive than Qwen3-Coder.*

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

Lowest available price from all providers

Tue Jun 02 2026 • llm-stats.com

MiniMax M2

Input tokens$0.30

Output tokens$1.20

Best providerMiniMax

Qwen3-Coder

Input tokens$0.18

Output tokens$0.18

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

250.0B diff

Qwen3-Coder has 250.0B more parameters than MiniMax M2, making it 108.7% larger.

MiniMax M2

230.0Bparameters

Qwen3-Coder

480.0Bparameters

230.0B

MiniMax M2

480.0B

Qwen3-Coder

Context Window

Maximum input and output token capacity

MiniMax M2 accepts 1,000,000 input tokens compared to Qwen3-Coder's 256,000 tokens. MiniMax M2 can generate longer responses up to 1,000,000 tokens, while Qwen3-Coder is limited to 256,000 tokens.

MiniMax M2

Input1,000,000 tokens

Output1,000,000 tokens

Qwen3-Coder

Input256,000 tokens

Output256,000 tokens

Tue Jun 02 2026 • llm-stats.com

License

Usage and distribution terms

MiniMax M2 is licensed under MIT, while Qwen3-Coder uses Apache 2.0.

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

MiniMax M2

MIT

Open weights

Qwen3-Coder

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniMax M2 was released on 2025-10-27, while Qwen3-Coder was released on 2025-01-01.

MiniMax M2 is 10 months newer than Qwen3-Coder.

MiniMax M2

Oct 27, 2025

7 months ago

9mo newer

Qwen3-Coder

Jan 1, 2025

1.4 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

MiniMax M2 is available from MiniMax, Novita. Qwen3-Coder is available from DeepInfra, Fireworks.

MiniMax M2

MiniMax

Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Novita

Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Qwen3-Coder

Deepinfra

Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M

Fireworks

Input Price:Input: $0.25/1MOutput Price:Output: $0.25/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

MiniMax M2

View details

MiniMax

Larger context window (1,000,000 tokens)

Qwen3-Coder

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature	MiniMax M2	Qwen3-Coder

FAQ

Common questions about MiniMax M2 vs Qwen3-Coder.

Which is better, MiniMax M2 or Qwen3-Coder?

MiniMax M2 (MiniMax) and Qwen3-Coder (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does MiniMax M2 compare to Qwen3-Coder in benchmarks?

MiniMax M2 scores Tau2 Telecom: 87.0%, LiveCodeBench: 83.0%, MMLU-Pro: 82.0%, AIME 2025: 78.0%, GPQA: 78.0%.

Is MiniMax M2 cheaper than Qwen3-Coder?

Qwen3-Coder is 1.7x cheaper for input tokens. MiniMax M2 costs $0.30/M input and $1.20/M output via minimax. Qwen3-Coder costs $0.18/M input and $0.18/M output via deepinfra.

What are the context window sizes for MiniMax M2 and Qwen3-Coder?

MiniMax M2 supports 1.0M tokens and Qwen3-Coder supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiniMax M2 and Qwen3-Coder?

Key differences include context window (1.0M vs 256K), input pricing ($0.30 vs $0.18/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniMax M2 and Qwen3-Coder?

MiniMax M2 is developed by MiniMax and Qwen3-Coder is developed by Alibaba Cloud / Qwen Team.