Model Comparison

MiniMax M2.5 vs Qwen3 VL 8B Thinking

Comparing MiniMax M2.5 and Qwen3 VL 8B Thinking across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

MiniMax M2.5 and Qwen3 VL 8B Thinking 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

MiniMax M2.5 costs less

For input processing, MiniMax M2.5 ($0.30/1M tokens) is 1.7x more expensive than Qwen3 VL 8B Thinking ($0.18/1M tokens).

For output processing, MiniMax M2.5 ($1.20/1M tokens) is 1.7x cheaper than Qwen3 VL 8B Thinking ($2.09/1M tokens).

In conclusion, Qwen3 VL 8B Thinking is more expensive than MiniMax M2.5.*

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

Lowest available price from all providers
Tue Apr 21 2026 • llm-stats.com
MiniMax
MiniMax M2.5
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
Input tokens$0.18
Output tokens$2.09
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

221.0B diff

MiniMax M2.5 has 221.0B more parameters than Qwen3 VL 8B Thinking, making it 2455.6% larger.

MiniMax
MiniMax M2.5
230.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
9.0Bparameters
230.0B
MiniMax M2.5
9.0B
Qwen3 VL 8B Thinking

Context Window

Maximum input and output token capacity

MiniMax M2.5 accepts 1,000,000 input tokens compared to Qwen3 VL 8B Thinking's 262,144 tokens. MiniMax M2.5 can generate longer responses up to 1,000,000 tokens, while Qwen3 VL 8B Thinking is limited to 262,144 tokens.

MiniMax
MiniMax M2.5
Input1,000,000 tokens
Output1,000,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
Input262,144 tokens
Output262,144 tokens
Tue Apr 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 8B Thinking supports multimodal inputs, whereas MiniMax M2.5 does not.

Qwen3 VL 8B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

MiniMax M2.5

Text
Images
Audio
Video

Qwen3 VL 8B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

MiniMax M2.5 is licensed under MIT, while Qwen3 VL 8B Thinking 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 VL 8B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniMax M2.5 was released on 2026-02-12, while Qwen3 VL 8B Thinking was released on 2025-09-22.

MiniMax M2.5 is 5 months newer than Qwen3 VL 8B Thinking.

MiniMax M2.5

Feb 12, 2026

2 months ago

4mo newer
Qwen3 VL 8B Thinking

Sep 22, 2025

7 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 VL 8B Thinking is available from DeepInfra.

MiniMax M2.5

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

Qwen3 VL 8B Thinking

deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $2.09/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

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

Qwen3 VL 8B Thinking

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Less expensive input tokens

Detailed Comparison

AI Model Comparison Table
Feature
MiniMax
MiniMax M2.5
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking

FAQ

Common questions about MiniMax M2.5 vs Qwen3 VL 8B Thinking

MiniMax M2.5 (MiniMax) and Qwen3 VL 8B Thinking (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 VL 8B Thinking scores DocVQAtest: 95.3%, ScreenSpot: 93.6%, MMLU-Redux: 88.8%, MMBench-V1.1: 87.5%, InfoVQAtest: 86.0%.
Qwen3 VL 8B Thinking is 1.7x cheaper for input tokens. MiniMax M2.5 costs $0.30/M input and $1.20/M output via minimax. Qwen3 VL 8B Thinking costs $0.18/M input and $2.09/M output via deepinfra.
MiniMax M2.5 supports 1.0M tokens and Qwen3 VL 8B Thinking supports 262K 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 262K), input pricing ($0.30 vs $0.18/M), multimodal support (no vs yes), 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 VL 8B Thinking is developed by Alibaba Cloud / Qwen Team.