DeepSeek vs SambaNova Cloud: Token Pricing, Speed & Intelligence
Full comparison of DeepSeek and SambaNova Cloud — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
DeepSeek
DeepSeek V4 Pro and V4.1-Flash — 1M context, open-weight, peak/off-peak pricing
DeepSeek's September 2026 API offers two models: DeepSeek V4 Pro (deepseek-v4-pro-0813, frontier) and DeepSeek V4.1-Flash (deepseek-flash, efficient). Peak hours (01:00–10:00 UTC weekdays) are 2× the off-peak rate. Both models support 1M token context, JSON output, tool calls, and the Anthropic API format.
SambaNova Cloud
High-throughput inference on SambaNova RDU chips — gpt-oss-120b, GLM-5.3, Llama
SambaNova Cloud runs inference on SambaNova's proprietary Reconfigurable Dataflow Unit (RDU) chips, delivering very high throughput (800+ tokens/sec on gpt-oss-120b). The catalog covers gpt-oss-120b, GLM-5.3, MiniMax-M3, DeepSeek-V3.2, Meta-Llama-3.3-70B, and Gemma 4 31B. Pricing is PAYG with prompt caching on select models.
Key metric comparison
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Live token pricing
Strengths and weaknesses
DeepSeek
SambaNova Cloud
Key differentiators
DeepSeek V4 Pro delivers frontier-class intelligence at competitive off-peak rates — open-weight, 1M context, and compatible with both OpenAI and Anthropic SDKs.
Proprietary RDU chips deliver industry-leading throughput on open-weight models at competitive per-token rates.
Frequently asked questions
DeepSeek FAQs
What are the latest DeepSeek models?
DeepSeek's September 2026 API offers DeepSeek V4 Pro (deepseek-v4-pro-0813) and DeepSeek V4.1-Flash (deepseek-flash). Both support 1M token context windows, JSON output, tool calls, and the Anthropic API format.
What is DeepSeek V4 Pro pricing?
DeepSeek V4 Pro uses peak/off-peak pricing — off-peak rates apply on weekends and Chinese public holidays; peak hours (01:00–10:00 UTC weekdays) are 2× the off-peak rate. Cache hits are billed at a reduced rate. Check api-docs.deepseek.com/quick_start/pricing for current rates.
What is DeepSeek V4.1-Flash pricing?
DeepSeek V4.1-Flash uses the same peak/off-peak structure as V4 Pro, with off-peak rates significantly cheaper than peak. It also supports vision inputs. Check api-docs.deepseek.com/quick_start/pricing for current rates.
SambaNova Cloud FAQs
What makes SambaNova Cloud different?
SambaNova runs inference on its own Reconfigurable Dataflow Unit (RDU) chips rather than NVIDIA GPUs. This delivers very high throughput — over 800 tokens/sec on gpt-oss-120b — at competitive per-token rates.
What models does SambaNova Cloud offer?
As of October 2026: gpt-oss-120b ($0.22/$0.59), GLM-5.3 ($1.40/$4.40, cached $0.14), MiniMax-M3 ($0.60/$2.40, cached $0.06), DeepSeek-V3.2 ($3.00/$4.50), Meta-Llama-3.3-70B ($0.60/$1.20), and Gemma 4 31B ($0.38/$1.15). See cloud.sambanova.ai/plans/pricing for current rates.
Does SambaNova offer prompt caching?
Yes, on GLM-5.3 (cached input $0.14/1M vs $1.40/1M standard) and MiniMax-M3 (cached input $0.06/1M vs $0.60/1M standard).
Provider resources
DeepSeek — DeepSeek V4 Pro and V4.1-Flash — 1M context, open-weight, peak/off-peak pricing
DeepSeek's September 2026 API offers two models: DeepSeek V4 Pro (deepseek-v4-pro-0813, frontier) and DeepSeek V4.1-Flash (deepseek-flash, efficient). Peak hours (01:00–10:00 UTC weekdays) are 2× the off-peak rate. Both models support 1M token context, JSON output, tool calls, and the Anthropic API format.
DeepSeek V4 Pro delivers frontier-class intelligence at competitive off-peak rates — open-weight, 1M context, and compatible with both OpenAI and Anthropic SDKs.
SambaNova Cloud — High-throughput inference on SambaNova RDU chips — gpt-oss-120b, GLM-5.3, Llama
SambaNova Cloud runs inference on SambaNova's proprietary Reconfigurable Dataflow Unit (RDU) chips, delivering very high throughput (800+ tokens/sec on gpt-oss-120b). The catalog covers gpt-oss-120b, GLM-5.3, MiniMax-M3, DeepSeek-V3.2, Meta-Llama-3.3-70B, and Gemma 4 31B. Pricing is PAYG with prompt caching on select models.
Proprietary RDU chips deliver industry-leading throughput on open-weight models at competitive per-token rates.
Key strengths compared
DeepSeek
- V4 Pro off-peak: competitive per-1M pricing — frontier intelligence at a fraction of Western provider cost
- V4.1-Flash off-peak: fast and cost-efficient — cheapest DeepSeek model tier
- Both models open-weight — can be self-hosted
- Data residency in China — may not meet GDPR/compliance requirements
- API reliability can lag Western providers during peak demand
SambaNova Cloud
- Proprietary RDU chips deliver very high throughput — 800+ tokens/sec on gpt-oss-120b
- Competitive pricing on gpt-oss-120b ($0.22/$0.59 per 1M)
- Prompt caching on GLM-5.3 (cached input at $0.14/1M)
- Smaller model catalog vs OpenRouter or Together AI
- No proprietary frontier models — inference-only platform
Key weaknesses compared
DeepSeek
- Data residency in China — may not meet GDPR/compliance requirements
- API reliability can lag Western providers during peak demand
- V4.1-Flash does not support vision inputs
SambaNova Cloud
- Smaller model catalog vs OpenRouter or Together AI
- No proprietary frontier models — inference-only platform
- RDU architecture may behave differently from GPU inference for some workloads
Provider category context
DeepSeek is a frontier lab, founded in 2023. SambaNova Cloud is a inference api, founded in 2017. DeepSeek as a frontier lab trains and serves its own proprietary models. SambaNova Cloud as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers but without access to proprietary frontier models.
How to choose between them
Choose DeepSeek if you need v4 pro off-peak: competitive per-1m pricing — frontier intelligence at a fraction of western provider cost. Choose SambaNova Cloud if you need High-throughput inference. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.