Model Comparison

MiniMax M2.5 vs Qwen3 30B A3B

Comparing MiniMax M2.5 and Qwen3 30B A3B across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

MiniMax M2.5 and Qwen3 30B A3B 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 30B A3B costs less

For input processing, MiniMax M2.5 ($0.30/1M tokens) is 3.0x more expensive than Qwen3 30B A3B ($0.10/1M tokens).

For output processing, MiniMax M2.5 ($1.20/1M tokens) is 4.0x more expensive than Qwen3 30B A3B ($0.30/1M tokens).

In conclusion, MiniMax M2.5 is more expensive than Qwen3 30B A3B.*

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
MiniMax
MiniMax M2.5
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Alibaba Cloud / Qwen Team
Qwen3 30B A3B
Input tokens$0.10
Output tokens$0.30
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

199.5B diff

MiniMax M2.5 has 199.5B more parameters than Qwen3 30B A3B, making it 654.1% larger.

MiniMax
MiniMax M2.5
230.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 30B A3B
30.5Bparameters
230.0B
MiniMax M2.5
30.5B
Qwen3 30B A3B

Context Window

Maximum input and output token capacity

MiniMax M2.5 accepts 1,000,000 input tokens compared to Qwen3 30B A3B's 128,000 tokens. MiniMax M2.5 can generate longer responses up to 1,000,000 tokens, while Qwen3 30B A3B is limited to 128,000 tokens.

MiniMax
MiniMax M2.5
Input1,000,000 tokens
Output1,000,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 30B A3B
Input128,000 tokens
Output128,000 tokens
Fri Apr 17 2026 • llm-stats.com

License

Usage and distribution terms

MiniMax M2.5 is licensed under MIT, while Qwen3 30B A3B uses Apache 2.0.

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

MiniMax M2.5

MIT

Open weights

Qwen3 30B A3B

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniMax M2.5 was released on 2026-02-12, while Qwen3 30B A3B was released on 2025-04-29.

MiniMax M2.5 is 10 months newer than Qwen3 30B A3B.

MiniMax M2.5

Feb 12, 2026

2 months ago

9mo newer
Qwen3 30B A3B

Apr 29, 2025

11 months 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 M2.5 is available from MiniMax. Qwen3 30B A3B is available from DeepInfra, Novita, Fireworks.

MiniMax M2.5

minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Qwen3 30B A3B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.44/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (1,000,000 tokens)
Alibaba Cloud / Qwen Team

Qwen3 30B A3B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
MiniMax
MiniMax M2.5
Alibaba Cloud / Qwen Team
Qwen3 30B A3B

FAQ

Common questions about MiniMax M2.5 vs Qwen3 30B A3B

MiniMax M2.5 (MiniMax) and Qwen3 30B A3B (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.
MiniMax M2.5 scores SWE-Bench Verified: 80.2%, BFCL_v3_MultiTurn: 76.8%, BrowseComp: 76.3%, MEWC: 74.4%, GDPval-MM: 59.0%. Qwen3 30B A3B scores Arena Hard: 91.0%, AIME 2024: 80.4%, LiveBench: 74.3%, Multi-IF: 72.2%, AIME 2025: 70.9%.
Qwen3 30B A3B is 3.0x cheaper for input tokens. MiniMax M2.5 costs $0.30/M input and $1.20/M output via minimax. Qwen3 30B A3B costs $0.10/M input and $0.30/M output via deepinfra.
MiniMax M2.5 supports 1.0M tokens and Qwen3 30B A3B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 128K), input pricing ($0.30 vs $0.10/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
MiniMax M2.5 is developed by MiniMax and Qwen3 30B A3B is developed by Alibaba Cloud / Qwen Team.