Mercury 3 vs Qwen3.8-27B
Qwen3.8-27B leads the LLM Stats Score 44.4 to 36.1. Mercury 3 is 6.5x cheaper per token.
Inception · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.8-27B leads the overall LLM Stats Score 44.4 to 36.1, ranking #49 overall.
The models split the 2 individual benchmarks reported for both models evenly.
On price, Mercury 3 is roughly 6.5x 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
- cost matters — it's about 6.5x 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 Qwen3.8-27B
- overall performance matters — it scores 44.4 and ranks #49 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- 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 · 26 for Qwen3.8-27B
Mercury 3 outperforms in 1 benchmarks (GPQA), while Qwen3.8-27B is better at 1 benchmark (IFBench).
Both models are evenly matched across the 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 4.0x cheaper than Qwen3.8-27B ($0.40/1M tokens).
For output processing, Mercury 3 ($0.35/1M tokens) is 8.6x cheaper than Qwen3.8-27B ($3.00/1M tokens).
In conclusion, Qwen3.8-27B 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 Qwen3.8-27B's 262,144 tokens. Qwen3.8-27B can generate longer responses up to 262,144 tokens, while Mercury 3 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Qwen3.8-27B supports multimodal inputs, whereas Mercury 3 does not.
Qwen3.8-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mercury 3
Qwen3.8-27B
License
Usage and distribution terms
Mercury 3 is licensed under a proprietary license, while Qwen3.8-27B 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 Qwen3.8-27B was released on 2026-08-14.
Mercury 3 is 2 months newer than Qwen3.8-27B.
Oct 19, 2026
3 days ago
2mo newerAug 14, 2026
2 months 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. Qwen3.8-27B is available from DeepInfra, FriendliAI.
Mercury 3
Qwen3.8-27B
Outputs Comparison
Judge for yourself.
Run your own prompts against Mercury 3 and Qwen3.8-27B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mercury 3 vs Qwen3.8-27B.