Google vs SambaNova Cloud: Token Pricing, Speed & Intelligence
Full comparison of Google and SambaNova Cloud — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
Gemini 3.8 Flash — plus Veo 3.1 video, Lyria 3.5 music, and Gemini Omni
Google DeepMind's Gemini 3.x family spans Gemini 3.8 Flash (latest, promotional pricing until Dec 31 2026), Gemini 3.7 Flash, Gemini 3.6 Flash, Gemini 3.5 Flash, and Gemini 3.1 Pro Preview. The platform has expanded far beyond text: Veo 3.1 for video generation, Lyria 3.5 for music generation, Gemini Omni for video generation, and Gemini Embedding 2 for multimodal embeddings. Gemma 4 open-weight models are free via the API. Check the live table for current per-token rates.
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
SambaNova Cloud
Key differentiators
A wide multimodal AI API — text, image, video (Veo 3.1), music (Lyria 3.5), speech, transcription, and robotics under one key, with Gemini 3.8 Flash at promotional pricing until end of 2026.
Proprietary RDU chips deliver industry-leading throughput on open-weight models at competitive per-token rates.
Frequently asked questions
Google FAQs
What are the latest Google Gemini models?
As of September 2026, the Gemini 3.x family includes Gemini 3.8 Flash (newest, promotional pricing until December 31, 2026), Gemini 3.7 Flash, Gemini 3.6 Flash, Gemini 3.5 Flash, and Gemini 3.1 Pro Preview. Check ai.google.dev/gemini-api/docs/pricing for current rates.
What is Gemini 3.8 Flash pricing?
Gemini 3.8 Flash is on promotional pricing until December 31, 2026, with standard rates applying from January 1, 2027. Batch pricing is 50% off. Check ai.google.dev/gemini-api/docs/pricing for current rates.
Does Google offer video generation via API?
Yes. Veo 3.1 generates video at 720p, 1080p, and 4K resolutions. Gemini Omni Flash is also available for video generation. Check ai.google.dev/gemini-api/docs/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
Google — Gemini 3.8 Flash — plus Veo 3.1 video, Lyria 3.5 music, and Gemini Omni
Google DeepMind's Gemini 3.x family spans Gemini 3.8 Flash (latest, promotional pricing until Dec 31 2026), Gemini 3.7 Flash, Gemini 3.6 Flash, Gemini 3.5 Flash, and Gemini 3.1 Pro Preview. The platform has expanded far beyond text: Veo 3.1 for video generation, Lyria 3.5 for music generation, Gemini Omni for video generation, and Gemini Embedding 2 for multimodal embeddings. Gemma 4 open-weight models are free via the API. Check the live table for current per-token rates.
A wide multimodal AI API — text, image, video (Veo 3.1), music (Lyria 3.5), speech, transcription, and robotics under one key, with Gemini 3.8 Flash at promotional pricing until end of 2026.
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
- Gemini 3.8 Flash: promotional pricing until Dec 31 2026 — check live table for current rates
- Wide multimodal API: text, image, audio, video generation, music, speech, transcription
- Veo 3.1 video generation (720p/1080p/4K)
- Promotional pricing expires Jan 1 2027 — prices double
- Complex tiered pricing based on context length (≤200K vs >200K)
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
- Promotional pricing expires Jan 1 2027 — prices double
- Complex tiered pricing based on context length (≤200K vs >200K)
- API reliability has historically lagged OpenAI
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
Google is a frontier lab, founded in 1998. SambaNova Cloud is a inference api, founded in 2017. Google 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 Google if you need gemini 3.8 flash: promotional pricing until dec 31 2026 — check live table for current rates. 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.