GLM-5.3-Flash vs Solar Pro 4
GLM-5.3-Flash leads the LLM Stats Score 51.6 to 36.0. GLM-5.3-Flash is 2.2x cheaper per token.
Zhipu AI · Upstage · Updated for 2026
Which is better?
GLM-5.3-Flash leads the overall LLM Stats Score 51.6 to 36.0, ranking #11 overall.
In the 1 individual benchmarks reported for both models, GLM-5.3-Flash wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, GLM-5.3-Flash is roughly 2.2x 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 (1,048,576 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 GLM-5.3-Flash
- overall performance matters — it scores 51.6 and ranks #11 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 2.2x cheaper per token
- you process long inputs — it offers a 1,048,576 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 Solar Pro 4
- you want predictable pricing at $0.30/M input and $1.20/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for GLM-5.3-Flash · 9 for Solar Pro 4
GLM-5.3-Flash outperforms in 1 benchmarks (Terminal-Bench 2.1), while Solar Pro 4 is better at 0 benchmarks.
GLM-5.3-Flash 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, GLM-5.3-Flash ($0.15/1M tokens) is 2.0x cheaper than Solar Pro 4 ($0.30/1M tokens).
For output processing, GLM-5.3-Flash ($0.50/1M tokens) is 2.4x cheaper than Solar Pro 4 ($1.20/1M tokens).
In conclusion, Solar Pro 4 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 1,048,576 input tokens compared to Solar Pro 4's 524,288 tokens. Both models can generate responses up to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
GLM-5.3-Flash supports multimodal inputs, whereas Solar Pro 4 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
Solar Pro 4
License
Usage and distribution terms
GLM-5.3-Flash is licensed under MIT, while Solar Pro 4 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 Solar Pro 4 was released on 2026-08-06.
GLM-5.3-Flash is 1 month newer than Solar Pro 4.
Aug 26, 2026
2 days ago
2w newerAug 6, 2026
3 weeks 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 DeepInfra, Novita, ZAI. Solar Pro 4 is available from Upstage.
GLM-5.3-Flash
Solar Pro 4
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3-Flash and Solar Pro 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3-Flash vs Solar Pro 4.