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Amazon BedrockvsDeepgram

Amazon Bedrock vs Deepgram: Token Pricing, Speed & Intelligence

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

Amazon Bedrock

AWS-native LLM access — Nova, Claude, Llama, DeepSeek, MiniMax, Kimi and more

Amazon Bedrock is AWS's managed LLM service, providing access to Amazon's own Nova models alongside third-party models from Anthropic, Meta, Mistral, and others. The 2026 catalog has expanded to include DeepSeek v3.2, MiniMax M1, Moonshot Kimi 3, Z.AI GLM 5, and Writer Palmyra. It integrates natively with the AWS ecosystem including IAM, VPC, and CloudWatch, making it the default choice for teams already on AWS.

AWS-nativeEnterprise complianceMulti-modelHIPAA workloadsAgents
Proprietary modelsHosts open weights

Deepgram

Nova-3 speech-to-text API — real-time and batch transcription at low latency

Deepgram is a speech-to-text API provider specialising in low-latency audio transcription. Its Nova-3 model delivers real-time streaming transcription with high accuracy across accents and domains. Nova-3 Medical is tuned for clinical vocabulary. Deepgram also hosts Whisper Large for teams that need an open-weights baseline. Pricing is per audio hour rather than per token.

TranscriptionReal-time captionsVoice agentsMedical documentationCall analytics
Proprietary models

Key metric comparison

Amazon Bedrock
Deepgram
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

Amazon Bedrock

Native AWS integration — IAM, VPC, CloudWatch, S3
Expanded 2026 catalog: DeepSeek v3.2, MiniMax, Kimi 3, Z.AI GLM 5, Writer Palmyra
Access to Claude, Llama, Mistral, and Amazon Nova via one API
Enterprise compliance: SOC 2, HIPAA, GDPR
Provisioned Throughput: reserve dedicated capacity at a fixed hourly rate
No data leaves your AWS account
More complex setup than standalone inference APIs
Pricing can be higher than direct provider APIs
Latency overhead from AWS abstraction layer

Deepgram

Nova-3 delivers industry-leading accuracy with ~300 ms P50 latency for real-time streaming
Nova-3 Medical tuned for clinical and healthcare vocabulary
Per-audio-hour pricing is predictable for high-volume transcription workloads
Supports 30+ languages and automatic language detection
Whisper Large available for open-weights baseline comparisons
Speech-to-text only — no LLM chat, image, or embedding models
No per-token pricing; cost structure differs from general-purpose LLM APIs
Smaller ecosystem than general-purpose providers

Key differentiators

Amazon Bedrock

Run Claude, Llama, DeepSeek, and Amazon Nova within your own AWS VPC — data never leaves your account, with a broad third-party model catalog available through a single API.

Deepgram

Purpose-built speech-to-text API with Nova-3 at ~300 ms latency and a medical-domain variant — priced per audio hour rather than per token.

Frequently asked questions

Amazon Bedrock FAQs

What models are available on Amazon Bedrock in 2026?

Amazon Bedrock offers Amazon Nova (Micro, Lite, Pro), Anthropic Claude 5 family, Meta Llama 4, Mistral, Cohere, DeepSeek v3.2, MiniMax M1, Moonshot Kimi 3, Z.AI GLM 5, Writer Palmyra, and others. The catalog varies by AWS region.

How does Amazon Bedrock pricing work?

Bedrock uses on-demand pricing per 1M tokens, similar to direct provider APIs. Provisioned Throughput is available for reserved capacity at a fixed hourly rate. Prices are generally comparable to or slightly above direct provider pricing.

Is Amazon Bedrock HIPAA-compliant?

Yes. Amazon Bedrock is covered under AWS's HIPAA BAA, making it suitable for healthcare applications that require HIPAA compliance. Data processed through Bedrock stays within your AWS account.

Deepgram FAQs

How is Deepgram priced?

Deepgram charges per audio hour rather than per token. Nova-3 is $0.218/hour, Nova-3 Medical is $0.435/hour, and Whisper Large is $0.218/hour. See deepgram.com/pricing for current rates.

What is Deepgram Nova-3?

Nova-3 is Deepgram's latest speech recognition model, offering high accuracy with approximately 300 ms P50 latency for real-time streaming. It supports 30+ languages and is optimised for conversational and call-centre audio.

Does Deepgram support real-time transcription?

Yes. Deepgram's streaming API delivers transcription results with ~300 ms latency, making it suitable for live captions, voice agents, and real-time call analytics.

Provider resources

Amazon Bedrock

Provider page
Website
PricingDocs

Deepgram

Provider page
Website
PricingDocs

Amazon Bedrock — AWS-native LLM access — Nova, Claude, Llama, DeepSeek, MiniMax, Kimi and more

Amazon Bedrock is AWS's managed LLM service, providing access to Amazon's own Nova models alongside third-party models from Anthropic, Meta, Mistral, and others. The 2026 catalog has expanded to include DeepSeek v3.2, MiniMax M1, Moonshot Kimi 3, Z.AI GLM 5, and Writer Palmyra. It integrates natively with the AWS ecosystem including IAM, VPC, and CloudWatch, making it the default choice for teams already on AWS.

Run Claude, Llama, DeepSeek, and Amazon Nova within your own AWS VPC — data never leaves your account, with a broad third-party model catalog available through a single API.

Deepgram — Nova-3 speech-to-text API — real-time and batch transcription at low latency

Deepgram is a speech-to-text API provider specialising in low-latency audio transcription. Its Nova-3 model delivers real-time streaming transcription with high accuracy across accents and domains. Nova-3 Medical is tuned for clinical vocabulary. Deepgram also hosts Whisper Large for teams that need an open-weights baseline. Pricing is per audio hour rather than per token.

Purpose-built speech-to-text API with Nova-3 at ~300 ms latency and a medical-domain variant — priced per audio hour rather than per token.

Key strengths compared

Amazon Bedrock

  • Native AWS integration — IAM, VPC, CloudWatch, S3
  • Expanded 2026 catalog: DeepSeek v3.2, MiniMax, Kimi 3, Z.AI GLM 5, Writer Palmyra
  • Access to Claude, Llama, Mistral, and Amazon Nova via one API
  • More complex setup than standalone inference APIs
  • Pricing can be higher than direct provider APIs

Deepgram

  • Nova-3 delivers industry-leading accuracy with ~300 ms P50 latency for real-time streaming
  • Nova-3 Medical tuned for clinical and healthcare vocabulary
  • Per-audio-hour pricing is predictable for high-volume transcription workloads
  • Speech-to-text only — no LLM chat, image, or embedding models
  • No per-token pricing; cost structure differs from general-purpose LLM APIs

Key weaknesses compared

Amazon Bedrock

  • More complex setup than standalone inference APIs
  • Pricing can be higher than direct provider APIs
  • Latency overhead from AWS abstraction layer

Deepgram

  • Speech-to-text only — no LLM chat, image, or embedding models
  • No per-token pricing; cost structure differs from general-purpose LLM APIs
  • Smaller ecosystem than general-purpose providers

Provider category context

Amazon Bedrock is a cloud, founded in 2023. Deepgram is a frontier lab, founded in 2015. The category difference means these providers serve partially overlapping use cases — compare the model lists and pricing tables above to find the best fit for your specific workload.

How to choose between them

Choose Amazon Bedrock if you need native aws integration — iam, vpc, cloudwatch, s3. Choose Deepgram if you need Real-time transcription. 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.