Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)
Comparing verified benchmark accuracy, speed, and token pricing between DeepSeek R1 and FLUX.1 [schnell]. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
Apache 2.0 4-step distilled open weights model optimized for local inference and instant preview generation.
Simulate accuracy gains vs added response time & token cost
Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.
Single model data
No latency data
Unpriced
Category wins across reasoning intelligence, generation speed, and token cost.
Arena Preference Elo, prompt fidelity & typography score
Time to render full-resolution image snapshot (seconds)
API inference cost per 1,000 generated images
| Benchmark | DeepSeek R1 | FLUX.1 [schnell] | Advantage Delta |
|---|---|---|---|
| Image Elo | — | — | |
| Generation time | — | — | |
| Price per 1k images | — | — | |
| Prompt adherence | — | — | |
| Text rendering | — | — |
Simulate monthly production API costs in USD (US Dollar).
DeepSeek R1 is estimated to save $375.00/month ($4,500/year).
Need SWE-bench on both sides.
Need list prices.
Need TTFT on both sides.
Need context sizes.
FLUX.1 [schnell] is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | insufficient data | Need SWE-bench on both sides. |
| High-volume chat | insufficient data | Need list prices. |
| Voice / low-latency UI | insufficient data | Need TTFT on both sides. |
| Long-document RAG | insufficient data | Need context sizes. |
| Screenshots / vision | FLUX.1 [schnell] | FLUX.1 [schnell] is the side marked multimodal in the catalog. |
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The real PNG is generated at /compare/deepseek-r1-vs-flux-1-schnell/opengraph-image for crawlers.
Verified head-to-head card
