Mercury 3 vs Qwen3 VL 30B A3B Thinking
Mercury 3 leads the LLM Stats Score 36.1 to 17.8. Mercury 3 is 2.4x cheaper per token.
Inception · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Mercury 3 leads the overall LLM Stats Score 36.1 to 17.8, ranking #98 overall.
In the 1 individual benchmarks reported for both models, Mercury 3 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Mercury 3 is roughly 2.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mercury 3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Mercury 3
- overall performance matters — it scores 36.1 and ranks #98 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 2.4x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Qwen3 VL 30B A3B Thinking
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
12 reported for Mercury 3 · 50 for Qwen3 VL 30B A3B Thinking
Mercury 3 outperforms in 1 benchmarks (GPQA), while Qwen3 VL 30B A3B Thinking is better at 0 benchmarks.
Mercury 3 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Mercury 3 ($0.10/1M tokens) is 2.0x cheaper than Qwen3 VL 30B A3B Thinking ($0.20/1M tokens).
For output processing, Mercury 3 ($0.35/1M tokens) is 2.8x cheaper than Qwen3 VL 30B A3B Thinking ($0.99/1M tokens).
In conclusion, Qwen3 VL 30B A3B Thinking is more expensive than Mercury 3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Mercury 3 accepts 1,000,000 input tokens compared to Qwen3 VL 30B A3B Thinking's 131,072 tokens. Mercury 3 can generate longer responses up to 131,072 tokens, while Qwen3 VL 30B A3B Thinking is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Qwen3 VL 30B A3B Thinking supports multimodal inputs, whereas Mercury 3 does not.
Qwen3 VL 30B A3B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mercury 3
Qwen3 VL 30B A3B Thinking
License
Usage and distribution terms
Mercury 3 is licensed under a proprietary license, while Qwen3 VL 30B A3B Thinking uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Mercury 3 was released on 2026-10-19, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.
Mercury 3 is 13 months newer than Qwen3 VL 30B A3B Thinking.
Oct 19, 2026
0 days ago
1.1yr newerSep 22, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Mercury 3 is available from Inception. Qwen3 VL 30B A3B Thinking is available from Novita, DeepInfra.
Mercury 3
Qwen3 VL 30B A3B Thinking
Outputs Comparison
Judge for yourself.
Run your own prompts against Mercury 3 and Qwen3 VL 30B A3B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mercury 3 vs Qwen3 VL 30B A3B Thinking.