Infercom vs Modal: Token Pricing, Speed & Intelligence

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

Infercom

EU inference on SambaNova chips — Gemma 4, gpt-oss-120b, Whisper, embeddings

Infercom is an EU-based inference provider running on SambaNova RDU chips, offering Gemma 4 31B, gpt-oss-120b, Whisper Large v3, and E5-Mistral embeddings. Prices are in EUR per 1M tokens, excl. VAT, on a PAYG basis. Suited for European workloads requiring EU infrastructure without the overhead of a sovereign gateway.

EU inferenceEmbeddingsTranscriptionCost-sensitive workloads

Open-weight hostHosts open weights

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.

InferenceCost-efficiencyOpen-sourceChat

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

Infercom

EU-based infrastructure on SambaNova RDU chips

Competitive EUR pricing on Gemma 4 31B and gpt-oss-120b

Covers multiple modalities: chat, speech-to-text, embeddings

PAYG — no minimum spend

EUR pricing excluded from USD cross-provider comparisons

Small model catalog

Newer provider — limited ecosystem integrations

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

Cached-input pricing available on every model in the catalog

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

Key differentiators

Infercom

EU inference on SambaNova chips covering chat, speech-to-text, and embeddings at competitive EUR rates.

Modal

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

Infercom FAQs

What is Infercom?

Infercom is an EU-based inference provider running on SambaNova RDU chips. It offers Gemma 4 31B, gpt-oss-120b, Whisper Large v3, and E5-Mistral embeddings at PAYG EUR rates. See infercom.ai/pricing for current rates.

Does Infercom offer embeddings?

Yes. Infercom offers E5-Mistral embeddings at EUR 0.13 per 1M input tokens.

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

Infercom

Provider page

Website

Pricing

Modal

Provider page

Website

Pricing Docs

Infercom — EU inference on SambaNova chips — Gemma 4, gpt-oss-120b, Whisper, embeddings

EU inference on SambaNova chips covering chat, speech-to-text, and embeddings at competitive EUR rates.

Modal — Managed inference API — 10 shared-endpoint models with per-token pricing

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

Infercom

EU-based infrastructure on SambaNova RDU chips
Competitive EUR pricing on Gemma 4 31B and gpt-oss-120b
Covers multiple modalities: chat, speech-to-text, embeddings

EUR pricing excluded from USD cross-provider comparisons
Small model catalog

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

Infercom

EUR pricing excluded from USD cross-provider comparisons
Small model catalog
Newer provider — limited ecosystem integrations

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

Infercom is a inference api, founded in 2024. Modal is a inference api. Both are inference api providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.

How to choose between them

Both Infercom and Modal host open-weight models. The key differentiators are latency, throughput, and which specific model versions each provider offers. Check the speed metrics above — inference API providers often differ significantly on tokens-per-second for the same model. Pricing is typically competitive between them; availability of specific model versions (e.g., Llama 3.1 405B, DeepSeek V3) may be the deciding factor.