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DeepSeek vs RunInfra
RunInfra serves a small set of mid-size open models on cheap coding plans and builds tuned endpoints on request. DeepSeek offers stronger flagship models at low metered prices.
By The Subconscious Team · Updated
DeepSeek vs RunInfra: key differences
RunInfra's hosted library is small and centered on mid-size models like Nemotron 3.5 Lightning 30B, Qwen 3.8 27B and Ornith 1.5 35B, a lineup that is far from frontier quality. The draw is price and fit: coding plans from $10 a month that plug into Claude Code, Codex, OpenCode, Cline, Aider and more, with one key for OpenAI and Anthropic SDKs. DeepSeek's V4 Pro and V4.1 Flash are larger, stronger open models with 1M context, billed per token and halved off-peak.
RunInfra's other product is an agent that builds deployments. Describe an endpoint in plain English and it picks a model, benchmarks it across GPUs from L4 to B200, searches quantized variants and ships an OpenAI-compatible endpoint that scales to zero with cold starts under two seconds. Paid plans accept custom uploads up to 50 GB. That makes RunInfra a way to deploy an open model, possibly DeepSeek-derived, without ML ops staff. For direct access to capable models, DeepSeek wins. Note its hosted data sits in China.
What DeepSeek and RunInfra do
DeepSeek
DeepSeek is the Chinese lab whose open-weight models reset price expectations for the whole market. Its API now serves two models, both with 1M context and 384K max output. V4.1 Flash shipped September 10, 2026 with built-in image understanding at $0.30 in and $1.20 out at peak. V4 Pro, generally available since August 13, costs $1.32 in and $3.96 out at peak. Cache hits cost a few cents per million or less, and the weights ship on Hugging Face under an MIT license.
Example models: DeepSeek V4.1 Flash, DeepSeek V4 Pro
Full DeepSeek profileRunInfra
RunInfra pitches open models built for agents, with two ways in. Its hosted Model APIs serve a small curated library, including Nemotron 3.5 Lightning 30B, Qwen 3.8 27B and Ornith 1.5 35B, behind one key that works with both the OpenAI and Anthropic SDKs. Cached context bills at a discount. Coding plans start at $10 a month with limits that reset every five hours and every week, and they plug into Claude Code, Codex, OpenCode, Cline, Aider and dozens of other agent CLIs.
Example models: Nemotron 3.5 Lightning 30B, Qwen 3.8 27B
Full RunInfra profileShould you choose DeepSeek or RunInfra?
DeepSeek vs RunInfra at a glance
| Attribute | DeepSeek | RunInfra |
|---|---|---|
| Model access | Open weights (MIT) | Open weights |
| Flagship models | DeepSeek V4.1 Flash, V4 Pro | Nemotron 3.5 Lightning 30B, Qwen 3.8 27B |
| Speed | ~35 tok/s on V4 Pro | Cold starts under 2s |
| Price | Off-peak hours at half price | Coding plans from $10 a month |
| Customization | Open weights to fine-tune | Uploads up to 50 GB; auto-quantization |
| Deployment | First-party API, Hugging Face weights | Model APIs, agent-built endpoints |
| Long context | 1M, 384K max output | Varies by model |
Frequently asked questions
What is the difference between DeepSeek and RunInfra?
RunInfra serves a small set of mid-size open models on cheap coding plans and builds tuned endpoints on request. DeepSeek offers stronger flagship models at low metered prices.
When should I choose DeepSeek over RunInfra?
Stronger open models at low per-token prices; Long-context agents up to 1M tokens; Teams that do not need custom deployment.
When should I choose RunInfra over DeepSeek?
Flat-rate plans inside popular agent CLIs; Auto-benchmarked, quantized custom endpoints; Small teams without ML ops staff.
Is DeepSeek or RunInfra cheaper?
DeepSeek: Off-peak hours at half price. RunInfra: Coding plans from $10 a month. The cheaper choice depends on the model and workload.
Which has more context, DeepSeek or RunInfra?
DeepSeek: 1M, 384K max output. RunInfra: Varies by model.
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