Model Comparison

Qwen3.5-397B-A17B vs MiniMax M2.7

MiniMax M2.7 significantly outperforms across most benchmarks. MiniMax M2.7 is 2.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Qwen3.5-397B-A17B outperforms in 0 benchmarks, while MiniMax M2.7 is better at 3 benchmarks (SWE-bench Multilingual, Terminal-Bench 2.0, Toolathlon).

MiniMax M2.7 significantly outperforms across most benchmarks.

Sat Apr 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiniMax M2.7 costs less

For input processing, Qwen3.5-397B-A17B ($0.60/1M tokens) is 2.0x more expensive than MiniMax M2.7 ($0.30/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 3.0x more expensive than MiniMax M2.7 ($1.20/1M tokens).

In conclusion, Qwen3.5-397B-A17B is more expensive than MiniMax M2.7.*

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

Lowest available price from all providers
Sat Apr 18 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
MiniMax
MiniMax M2.7
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Qwen3.5-397B-A17B accepts 262,144 input tokens compared to MiniMax M2.7's 204,800 tokens. MiniMax M2.7 can generate longer responses up to 131,072 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 M2.7
Input204,800 tokens
Output131,072 tokens
Sat Apr 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.5-397B-A17B supports multimodal inputs, whereas MiniMax M2.7 does not.

Qwen3.5-397B-A17B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3.5-397B-A17B

Text
Images
Audio
Video

MiniMax M2.7

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.5-397B-A17B is licensed under Apache 2.0, while MiniMax M2.7 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 M2.7

MIT

Open weights

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while MiniMax M2.7 was released on 2026-03-18.

MiniMax M2.7 is 1 month newer than Qwen3.5-397B-A17B.

Qwen3.5-397B-A17B

Feb 16, 2026

2 months ago

MiniMax M2.7

Mar 18, 2026

1 months ago

1mo 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 M2.7 is available from MiniMax.

Qwen3.5-397B-A17B

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

MiniMax M2.7

minimax logo
MiniMax
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

Alibaba Cloud / Qwen Team

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Supports multimodal inputs
MiniMax
Less expensive input tokens
Less expensive output tokens
Higher SWE-bench Multilingual score (76.5% vs 69.3%)
Higher Terminal-Bench 2.0 score (57.0% vs 52.5%)
Higher Toolathlon score (46.3% vs 38.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
MiniMax
MiniMax M2.7

FAQ

Common questions about Qwen3.5-397B-A17B vs MiniMax M2.7

MiniMax M2.7 significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team and MiniMax M2.7 is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%. MiniMax M2.7 scores SWE-bench Multilingual: 76.5%, MLE-Bench Lite: 66.6%, MM-ClawBench: 62.7%, Terminal-Bench 2.0: 57.0%, SWE-Bench Pro: 56.2%.
MiniMax M2.7 is 2.0x cheaper for input tokens. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita. MiniMax M2.7 costs $0.30/M input and $1.20/M output via minimax.
Qwen3.5-397B-A17B supports 262K tokens and MiniMax M2.7 supports 205K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (262K vs 205K), input pricing ($0.60 vs $0.30/M), multimodal support (yes vs no), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.
Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team and MiniMax M2.7 is developed by MiniMax.