Model Comparison

MiniMax M2.5 vs Qwen3 VL 8B Instruct

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

MiniMax M2.5 and Qwen3 VL 8B Instruct 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 VL 8B Instruct costs less

For input processing, MiniMax M2.5 ($0.30/1M tokens) is 3.8x more expensive than Qwen3 VL 8B Instruct ($0.08/1M tokens).

For output processing, MiniMax M2.5 ($1.20/1M tokens) is 2.4x more expensive than Qwen3 VL 8B Instruct ($0.50/1M tokens).

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

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

Lowest available price from all providers
Tue Apr 14 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 Instruct
Input tokens$0.08
Output tokens$0.50
Best providerNovita
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 Instruct, making it 2455.6% larger.

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

Context Window

Maximum input and output token capacity

MiniMax M2.5 accepts 1,000,000 input tokens compared to Qwen3 VL 8B Instruct's 131,072 tokens. MiniMax M2.5 can generate longer responses up to 1,000,000 tokens, while Qwen3 VL 8B Instruct is limited to 32,768 tokens.

MiniMax
MiniMax M2.5
Input1,000,000 tokens
Output1,000,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Instruct
Input131,072 tokens
Output32,768 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Qwen3 VL 8B Instruct 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 Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

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

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 Instruct was released on 2025-09-22.

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

MiniMax M2.5

Feb 12, 2026

2 months ago

4mo newer
Qwen3 VL 8B Instruct

Sep 22, 2025

6 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 Instruct is available from Novita, DeepInfra.

MiniMax M2.5

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

Qwen3 VL 8B Instruct

novita logo
Novita
Input Price:Input: $0.08/1MOutput Price:Output: $0.50/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.69/1M
* 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 VL 8B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

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

FAQ

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

MiniMax M2.5 (MiniMax) and Qwen3 VL 8B Instruct (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 Instruct scores DocVQAtest: 96.1%, ScreenSpot: 94.4%, OCRBench: 89.6%, AI2D: 85.7%, MMBench-V1.1: 85.0%.
Qwen3 VL 8B Instruct is 3.8x cheaper for input tokens. MiniMax M2.5 costs $0.30/M input and $1.20/M output via minimax. Qwen3 VL 8B Instruct costs $0.08/M input and $0.50/M output via novita.
MiniMax M2.5 supports 1.0M tokens and Qwen3 VL 8B Instruct supports 131K 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 131K), input pricing ($0.30 vs $0.08/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 Instruct is developed by Alibaba Cloud / Qwen Team.