$ diff gpt-image-2-5-flare glm-5-3-flash
GPT-Image-2.5 Flare vs GLM-5.3-Flash
Values come from GPT-Image-2.5 Flare and GLM-5.3-Flash, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing.
OpenAIGPT-Image-2.5 Flare
- context
- —
- weights
- closed
- $/M in
- $30
- $/M out
- $2
- context
- 1.0M
- weights
- open
- $/M in
- $0.15
- $/M out
- $0.5
What actually differs
- Input price
- GLM-5.3-Flash at $0.15/M against $30/M — 200.0× cheaper to feed. Standard rates: one of these labs also quotes a lower cached-input tier, which applies only when a prefix is reused — see the full spec below.
- Output price
- GLM-5.3-Flash at $0.5/M against $2/M — 4.0× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
- Weights
- GLM-5.3-Flash publishes weights (MIT); GPT-Image-2.5 Flare is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
- Recency
- GPT-Image-2.5 Flare shipped 13 days after GLM-5.3-Flash (2026-09-08 vs 2026-08-26).
Full spec
| Attribute | GPT-Image-2.5 Flare | GLM-5.3-Flash |
|---|---|---|
| Developer | OpenAI | Z.ai |
| Released | 2026-09-08 | 2026-08-26 |
| Context window | not recorded | 1,048,576 (1M) |
| Pricing | image input $8.00/M tokens ($2.00/M cached) · image output $30.00/M tokens · text input $5.00/M tokens ($1.25/M cached) | $0.15/M input · $0.03/M cached input · $0.50/M output |
| License | proprietary | MIT |
| Availability | OpenAI API | Hugging Face (open weights), Z.ai API |