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Google vs TensorX: Token Pricing, Speed & Intelligence

Full comparison of Google and TensorX — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.

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.

VisionLong-contextCodingMultimodalVideo generationMusic generationCost-efficiency
Proprietary modelsHosts open weights

TensorX

EU inference — Dublin, Helsinki, Paris — GLM-5.3, Kimi K3, zero data retention

TensorX is an EU inference provider with nodes in Dublin, Helsinki, and Paris. It offers GLM-5.3, Kimi K3, and GLM-5.3 Flash with zero data retention and prepaid credits. USD pricing. Suited for EU workloads that need geographic diversity within Europe and a zero-retention policy.

EU inferencePrivacy-sensitive workloadsGeographic diversity
Open-weight hostHosts open weights

Key metric comparison

Cheapest input ($/1M)

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Cheapest output ($/1M)

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Peak throughput

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Best latency (TTFT)

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Intelligence score

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Context window

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Live token pricing

Strengths and weaknesses

Google

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)
Gemma 4 open-weight models free via API
Free tier via Google AI Studio for prototyping
Google Search grounding: 5,000 free requests/month on Gemini 3.x
Promotional pricing expires Jan 1 2027 — prices double
Complex tiered pricing based on context length (≤200K vs >200K)
API reliability has historically lagged OpenAI

TensorX

EU nodes in Dublin, Helsinki, and Paris — geographic diversity
Zero data retention policy
Prompt caching on GLM-5.3 (cached $0.44/1M vs $1.75/1M standard)
USD pricing — no currency conversion for international customers
Small model catalog
Prepaid credits only — no post-pay billing
Newer provider — limited third-party benchmark transparency

Key differentiators

Google

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.

TensorX

EU inference with nodes in Dublin, Helsinki, and Paris, zero data retention, and prompt caching on GLM-5.3.

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.

TensorX FAQs

What is TensorX?

TensorX is an EU inference provider with nodes in Dublin, Helsinki, and Paris. It offers GLM-5.3, Kimi K3, and GLM-5.3 Flash with zero data retention and prepaid credits. See tensorx.ai/pricing for current rates.

Does TensorX retain my data?

No. TensorX operates a zero data retention policy.

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.

TensorX — EU inference — Dublin, Helsinki, Paris — GLM-5.3, Kimi K3, zero data retention

TensorX is an EU inference provider with nodes in Dublin, Helsinki, and Paris. It offers GLM-5.3, Kimi K3, and GLM-5.3 Flash with zero data retention and prepaid credits. USD pricing. Suited for EU workloads that need geographic diversity within Europe and a zero-retention policy.

EU inference with nodes in Dublin, Helsinki, and Paris, zero data retention, and prompt caching on GLM-5.3.

Key strengths compared

Google

  • 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)

TensorX

  • EU nodes in Dublin, Helsinki, and Paris — geographic diversity
  • Zero data retention policy
  • Prompt caching on GLM-5.3 (cached $0.44/1M vs $1.75/1M standard)
  • Small model catalog
  • Prepaid credits only — no post-pay billing

Key weaknesses compared

Google

  • Promotional pricing expires Jan 1 2027 — prices double
  • Complex tiered pricing based on context length (≤200K vs >200K)
  • API reliability has historically lagged OpenAI

TensorX

  • Small model catalog
  • Prepaid credits only — no post-pay billing
  • Newer provider — limited third-party benchmark transparency

Provider category context

Google is a frontier lab, founded in 1998. TensorX is a inference api, founded in 2024. Google as a frontier lab trains and serves its own proprietary models. TensorX 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 TensorX if you need EU 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.