Model Comparison

Qwen3.5-397B-A17B vs MiniMax M3

MiniMax M3 significantly outperforms across most benchmarks. MiniMax M3 is 1.3x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Qwen3.5-397B-A17B outperforms in 0 benchmarks, while MiniMax M3 is better at 2 benchmarks (BrowseComp, SWE-Bench Verified).

MiniMax M3 significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiniMax M3 costs less

For input processing, Qwen3.5-397B-A17B ($0.60/1M tokens) costs the same as MiniMax M3 ($0.60/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 1.5x more expensive than MiniMax M3 ($2.40/1M tokens).

In conclusion, Qwen3.5-397B-A17B is more expensive than MiniMax M3.*

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

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
MiniMax
MiniMax M3
Input tokens$0.60
Output tokens$2.40
Best providerMiniMax
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

MiniMax M3 accepts 1,000,000 input tokens compared to Qwen3.5-397B-A17B's 262,144 tokens. MiniMax M3 can generate longer responses up to 1,000,000 tokens, while Qwen3.5-397B-A17B is limited to 64,000 tokens.

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
MiniMax
MiniMax M3
Input1,000,000 tokens
Output1,000,000 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen3.5-397B-A17B and MiniMax M3 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Qwen3.5-397B-A17B

Text
Images
Audio
Video

MiniMax M3

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.5-397B-A17B is licensed under Apache 2.0, while MiniMax M3 uses MIT.

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

Qwen3.5-397B-A17B

Apache 2.0

Open weights

MiniMax M3

MIT

Open weights

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while MiniMax M3 was released on 2026-06-01.

MiniMax M3 is 4 months newer than Qwen3.5-397B-A17B.

Qwen3.5-397B-A17B

Feb 16, 2026

3 months ago

MiniMax M3

Jun 1, 2026

5 days ago

3mo 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

Qwen3.5-397B-A17B is available from Novita. MiniMax M3 is available from MiniMax.

Qwen3.5-397B-A17B

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M

MiniMax M3

minimax logo
MiniMax
Input Price:Input: $0.60/1MOutput Price:Output: $2.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

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

Larger context window (1,000,000 tokens)
Less expensive output tokens
Higher BrowseComp score (83.5% vs 69.0%)
Higher SWE-Bench Verified score (80.5% vs 76.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
MiniMax
MiniMax M3

FAQ

Common questions about Qwen3.5-397B-A17B vs MiniMax M3.

Which is better, Qwen3.5-397B-A17B or MiniMax M3?

MiniMax M3 significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team and MiniMax M3 is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Qwen3.5-397B-A17B compare to MiniMax M3 in benchmarks?

Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%. MiniMax M3 scores OmniDocBench 1.5: 91.6%, SpreadSheetBench-v1: 89.3%, USAMO 2026: 85.7%, Video-MME: 85.4%, VideoMMMU: 84.6%.

Is Qwen3.5-397B-A17B cheaper than MiniMax M3?

Both models cost $0.60 per million input tokens.

What are the context window sizes for Qwen3.5-397B-A17B and MiniMax M3?

Qwen3.5-397B-A17B supports 262K tokens and MiniMax M3 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 Qwen3.5-397B-A17B and MiniMax M3?

Key differences include context window (262K vs 1.0M), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Qwen3.5-397B-A17B and MiniMax M3?

Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team and MiniMax M3 is developed by MiniMax.