GLM-5.3-Flash vs Mercury 2
Comparing GLM-5.3-Flash and Mercury 2 across benchmarks, pricing, and capabilities.
Zhipu AI · Inception · Updated for 2026
Which is better?
GLM-5.3-Flash and Mercury 2 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, GLM-5.3-Flash is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5.3-Flash 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 benchmark, pricing, and model metadata for 2026.
Choose GLM-5.3-Flash
- cost matters — it's about 1.6x 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 Aug 2026
- you need open weights you can self-host or fine-tune
Choose Mercury 2
- you want predictable pricing at $0.25/M input and $0.75/M output
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5.3-Flash and Mercury 2don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5.3-Flash ($0.15/1M tokens) is 1.7x cheaper than Mercury 2 ($0.25/1M tokens).
For output processing, GLM-5.3-Flash ($0.50/1M tokens) is 1.5x cheaper than Mercury 2 ($0.75/1M tokens).
In conclusion, Mercury 2 is more expensive than GLM-5.3-Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GLM-5.3-Flash accepts 1,000,000 input tokens compared to Mercury 2's 128,000 tokens. GLM-5.3-Flash can generate longer responses up to 131,072 tokens, while Mercury 2 is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
GLM-5.3-Flash supports multimodal inputs, whereas Mercury 2 does not.
GLM-5.3-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.3-Flash
Mercury 2
License
Usage and distribution terms
GLM-5.3-Flash is licensed under MIT, while Mercury 2 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
GLM-5.3-Flash was released on 2026-08-26, while Mercury 2 was released on 2026-02-24.
GLM-5.3-Flash is 6 months newer than Mercury 2.
Aug 26, 2026
0 days ago
6mo newerFeb 24, 2026
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.
Provider Availability
GLM-5.3-Flash is available from ZAI. Mercury 2 is available from Inception.
GLM-5.3-Flash
Mercury 2
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3-Flash and Mercury 2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3-Flash vs Mercury 2.