Google vs Modal: Token Pricing, Speed & Intelligence
Full comparison of Google and Modal — 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.
Modal
Managed inference API — 10 shared-endpoint models with per-token pricing
Modal Shared Endpoints serve a fixed catalog of models from Modal-managed pools. Modal manages the hardware and autoscaling, and usage is billed per token. Shared Endpoints have model-specific concurrency limits on concurrent in-flight requests. Prices are published rates from modal.com/docs/guide/supported-models.md, re-read 2026-10-31.
Key metric comparison
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Live token pricing
Strengths and weaknesses
Modal
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.
Modal Shared Endpoints provide managed per-token inference on a fixed 10-model catalog with published cached-input pricing and no infrastructure to manage.
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.
Modal FAQs
What models does Modal offer on Shared Endpoints?
Modal Shared Endpoints currently serve 10 models: GLM 5.3 Flash NVFP4, DeepSeek V4.1 Flash 1017, DeepSeek V4.1 Flash, GLM 5.3 Flash, Muse Spark Open, GLM 5.3, Inkling NVFP4, Qwen3.8-Max, Qwen3.8-Max VL, and Kimi K3. Use the model table above for per-model pricing and capability details. Source: Modal's published Shared Endpoints catalog, re-read 2026-10-31.
How much does Modal charge per 1M tokens?
Modal Shared Endpoints input prices range from $0.15/1M (GLM 5.3 Flash NVFP4) to $3.00/1M (Kimi K3). All models include cached-input pricing. See the model table for full per-model rates.
Does Modal offer prompt caching?
Yes. All 10 models in the Modal Shared Endpoints catalog have published cached-input pricing, ranging from $0.005/1M (DeepSeek V4.1 Flash 1017) to $0.30/1M (Kimi K3). Depending on the model, the cached-input rate is 77.5% to 98% below the standard input rate. Source: Modal's published Shared Endpoints rates, re-read 2026-10-31.
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.
Modal — Managed inference API — 10 shared-endpoint models with per-token pricing
Modal Shared Endpoints serve a fixed catalog of models from Modal-managed pools. Modal manages the hardware and autoscaling, and usage is billed per token. Shared Endpoints have model-specific concurrency limits on concurrent in-flight requests. Prices are published rates from modal.com/docs/guide/supported-models.md, re-read 2026-10-31.
Modal Shared Endpoints provide managed per-token inference on a fixed 10-model catalog with published cached-input pricing and no infrastructure to manage.
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)
Modal
- Managed hardware and autoscaling — no infrastructure to operate
- Published per-token rates including cached-input pricing
- OpenAI-style per-token billing across all 10 models
- Small fixed catalog of 10 models
- Model-specific concurrency limits on shared pools
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
Modal
- Small fixed catalog of 10 models
- Model-specific concurrency limits on shared pools
- Prices are published rates re-read 2026-10-31, not continuously collected
Provider category context
Google is a frontier lab, founded in 1998. Modal is a inference api. Google as a frontier lab trains and serves its own proprietary models. Modal 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 Modal if you need managed hardware and autoscaling — no infrastructure to operate. 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.