$ diff gpt-image-2-5-flare deepseek-v4-pro-0813
GPT-Image-2.5 Flare vs DeepSeek V4-Pro-0813
Values come from GPT-Image-2.5 Flare and DeepSeek V4-Pro-0813, 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
- $0.66
- $/M out
- $1.98
What actually differs
- Input price
- DeepSeek V4-Pro-0813 at $0.66/M against $30/M — 45.5× cheaper to feed.
- Output price
- DeepSeek V4-Pro-0813 at $1.98/M against $2/M — 1.0× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
- Weights
- DeepSeek V4-Pro-0813 publishes weights (MIT (open-weight, as reported)); 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 26 days after DeepSeek V4-Pro-0813 (2026-09-08 vs 2026-08-13).
Full spec
| Attribute | GPT-Image-2.5 Flare | DeepSeek V4-Pro-0813 |
|---|---|---|
| Developer | OpenAI | DeepSeek |
| Released | 2026-09-08 | 2026-08-13 |
| Context window | not recorded | 1,048,576 (1M) — 384K max output |
| 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) | $0.66/M input (cache miss) · $1.98/M output off-peak; $1.32 · $3.96 at peak — see Pricing |
| License | proprietary | MIT (open-weight, as reported) |
| Availability | OpenAI API | DeepSeek API (Responses format, Codex-adapted), Hugging Face (`deepseek-ai/DeepSeek-V4-Pro-0813`) |