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MiniCPM-SALA vs Qwen3 VL 8B Thinking

MiniCPM-SALA and Qwen3 VL 8B Thinking are closely matched at 14.4 and 16.2 on the LLM Stats Score.

OpenBMB · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

MiniCPM-SALA and Qwen3 VL 8B Thinking are closely matched on the overall LLM Stats Score at 14.4 and 16.2.

In the 4 individual benchmarks reported for both models, Qwen3 VL 8B Thinking wins 4; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose MiniCPM-SALA

  • you want the most recent training data — it shipped Feb 2026

Choose Qwen3 VL 8B Thinking

  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results

At a glance

The differences that matter most.

Core performance indexes
14.4
#236
16.2
#224
15.7
#221
17.2
#211
Cost, coverage & limits
Benchmark wins
0 of 4
4 of 4
Input price
— / M
$0.18 / M
Output price
— / M
$2.09 / M
Context window
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
MiniCPM-SALA
Qwen3 VL 8B Thinking
14.2#220
18.8#176
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

24 reported for MiniCPM-SALA · 50 for Qwen3 VL 8B Thinking

4 shared

MiniCPM-SALA outperforms in 0 benchmarks, while Qwen3 VL 8B Thinking is better at 4 benchmarks (AIME 2025, IFEval, LiveCodeBench v6, MMLU-Pro).

Qwen3 VL 8B Thinking significantly outperforms across most benchmarks.

Mon Sep 21 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

477.2M diff

MiniCPM-SALA has 0.5B more parameters than Qwen3 VL 8B Thinking, making it 5.3% larger.

OpenBMB
MiniCPM-SALA
9.5Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
9.0Bparameters
9.5B
MiniCPM-SALA
9.0B
Qwen3 VL 8B Thinking

Context Window

Maximum input and output token capacity

Only Qwen3 VL 8B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 8B Thinking specifies output context (262,144 tokens).

OpenBMB
MiniCPM-SALA
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
Input262,144 tokens
Output262,144 tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3 VL 8B Thinking supports multimodal inputs, whereas MiniCPM-SALA does not.

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

MiniCPM-SALA

Text
Images
Audio
Video

Qwen3 VL 8B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

MiniCPM-SALA

Apache 2.0

Open weights

Qwen3 VL 8B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniCPM-SALA was released on 2026-02-11, while Qwen3 VL 8B Thinking was released on 2025-09-22.

MiniCPM-SALA is 5 months newer than Qwen3 VL 8B Thinking.

MiniCPM-SALA

Feb 11, 2026

7 months ago

4mo newer
Qwen3 VL 8B Thinking

Sep 22, 2025

12 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against MiniCPM-SALA and Qwen3 VL 8B Thinking side-by-side, then vote on the output you prefer.

MiniCPM-SALA
✓ Preferred
Qwen3 VL 8B Thinking
Open in Playground

FAQ

Common questions about MiniCPM-SALA vs Qwen3 VL 8B Thinking.

Which is better, MiniCPM-SALA or Qwen3 VL 8B Thinking?

MiniCPM-SALA and Qwen3 VL 8B Thinking are closely matched on the LLM Stats Score at 14.4 and 16.2. MiniCPM-SALA is made by OpenBMB and Qwen3 VL 8B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does MiniCPM-SALA compare to Qwen3 VL 8B Thinking in benchmarks?

MiniCPM-SALA scores HumanEval: 95.1%, RULER 64k: 92.7%, RULER 128k: 89.4%, MBPP: 89.1%, RULER 512K: 87.1%. Qwen3 VL 8B Thinking scores DocVQAtest: 95.3%, ScreenSpot: 93.6%, MMLU-Redux: 88.8%, MMBench-V1.1: 87.5%, InfoVQAtest: 86.0%.

What are the context window sizes for MiniCPM-SALA and Qwen3 VL 8B Thinking?

MiniCPM-SALA supports an unknown number of 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.

What are the main differences between MiniCPM-SALA and Qwen3 VL 8B Thinking?

Key differences include LLM Stats Score (14.4 vs 16.2), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniCPM-SALA and Qwen3 VL 8B Thinking?

MiniCPM-SALA is developed by OpenBMB and Qwen3 VL 8B Thinking is developed by Alibaba Cloud / Qwen Team.