$ diff deepseek-v4-1-flash gpt-image-2-5-flare
DeepSeek V4.1-Flash vs GPT-Image-2.5 Flare
Values come from DeepSeek V4.1-Flash and GPT-Image-2.5 Flare, 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.
DeepSeekDeepSeek V4.1-Flash
- context
- 1M
- weights
- open
- $/M in
- $0.15
- $/M out
- $0.6
- context
- —
- weights
- closed
- $/M in
- $30
- $/M out
- $2
What actually differs
- Input price
- DeepSeek V4.1-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
- DeepSeek V4.1-Flash at $0.6/M against $2/M — 3.3× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
- Weights
- DeepSeek V4.1-Flash publishes weights (MIT (open-weight)); GPT-Image-2.5 Flare is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
- Recency
- DeepSeek V4.1-Flash shipped 2 days after GPT-Image-2.5 Flare (2026-09-10 vs 2026-09-08).
Full spec
| Attribute | DeepSeek V4.1-Flash | GPT-Image-2.5 Flare |
|---|---|---|
| Developer | DeepSeek | OpenAI |
| Released | 2026-09-10 | 2026-09-08 |
| Context window | 1,000,000 | not recorded |
| Pricing | $0.15/M input (cache miss) · $0.003/M input (cache hit) · $0.60/M output, off-peak; peak rates double — see 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) |
| License | MIT (open-weight) | proprietary |
| Availability | DeepSeek API, Hugging Face (`deepseek-ai/DeepSeek-V4.1-Flash`) | OpenAI API |