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AI Choice Engine

Model comparison

Amazon Nova 2 Pro vs DeepSeek R1

Amazon against DeepSeek, compared on context, price, and attributed benchmark results.

Amazon Nova 2 Pro: profile checked October 25, 2026DeepSeek R1: profile checked October 25, 2026Individual provider fields may changeEvidence confidence: Insufficient data — see receipts below

Amazon

Amazon Nova 2 Pro

Balanced

vs

DeepSeek

DeepSeek R1

Balanced · Open weights

AI model capability comparison
SpecificationAmazon Nova 2 ProDeepSeek R1
ProviderAmazonDeepSeek
TierBalancedBalanced
Context windowWinner: 1M128K
Max outputNot verifiedUnverifiedNot verifiedUnverified
Input / 1M tokens$1.25Not verifiedUnverified
Output / 1M tokens$10Not verifiedUnverified
WeightsClosedOpen
ParametersNot verifiedUnverified671B total / 37B active (MoE)
Reasoning levelslow, medium, highNot verifiedUnverified
Modalitiestext, image, video, audiotext
LicenseNot verifiedUnverifiedMIT
ReleasedDecember 2, 2025January 20, 2025

Dates beside benchmark scores refer to the linked source’s publication or capture date unless that source explicitly states when it measured the result. A shared URL alone does not establish comparable runs; unverified setups are marked. Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.

Pricing tiers

Amazon Nova 2 Pro: Bedrock Global Standard $1.25/$10 per MTok; single-region $1.375/$11. Global Flex/Batch $0.625/$5 and regional $0.6875/$5.50. Global Priority $2.1875/$17.50 and regional $2.40625/$19.25. These are native Nova 2.0 Pro on-demand meters in the complete offer published October 16, 2026, with October 1 effective dates; not custom-model, provisioned-throughput or training prices. No Pro cached-input meter is present in this capture. Billing meters do not establish GA or account access.

DeepSeek R1: No current first-party API. The original deepseek-reasoner alias moved to R1-0528 on May 28, 2025 and V3.1 on August 21, 2025, before the alias retired July 24, 2026 at 15:59 UTC. Historical launch tariffs are not verified here; hosts charge their own rates for the MIT weights.

BalancedRecord checked October 25, 2026

Amazon Nova 2 Pro

Amazon's closed Nova 2 Pro preview accepts text, images, video and speech and generates text; its launch announcement specifies a one-million-token context.

Best for

  • AWS-native workloads
  • Multimodal
  • Long-context

Watch out

Preview access was announced for Nova Forge customers through their AWS account team. Current account access, a stable API model ID and a hard output cap remain unverified. Launch documentation names low/medium/high thinking; the current detailed thinking guide covers Lite only, so do not transfer its request rules to Pro. The October 1 Artificial Analysis 14-point Pro row is an estimate and is withheld. Omission from a current model list does not prove retirement.

BalancedOpen weightsRecord checked October 25, 2026

DeepSeek R1

DeepSeek R1 is the January 2025 open-weight (MIT) reasoning model — now open weights only, with no first-party API.

Best for

  • Harder reasoning on a budget
  • Open-weight deployments
  • Agentic coding

Watch out

Original January R1 MIT weights remain available. The first-party alias moved to R1-0528 on May 28, 2025 and later to other models before its July 24, 2026 retirement. Pin the exact checkpoint; no current first-party tariff, hard native output cap or selectable hosted effort menu is established for this original profile. Distilled Qwen/Llama variants have additional base-model licence terms.

When the cheaper one wins

One of these rows is missing a verified output price, so this page will not name a cheaper winner. Run the model picker against the actual job instead of guessing.

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Evidence confidence: Insufficient data

How strong and complete the evidence behind this comparison is — not a prediction of which model is better. Hard limitations apply: missing pricing; evidence too sparse.

  • Pricing incomplete — No verified token pricing for DeepSeek R1.
  • 2/5 core specs verified on both sides — Not published for at least one side: max output, parameter count, reasoning levels.
  • No directly aligned benchmark setup — No benchmark has matching cited sources, source dates, units, effort and recorded run details on both models.
  • Verified within the last 90 days — Older of the two catalog checks was 1 day ago.
  • Both models carry source citations — Each side has at least two catalog sources on record.

Source receipts

Each catalog figure was checked against the provider or an independent second source on the date shown.

Related comparisons

Diving deeper on one model? Amazon Nova 2 Pro · DeepSeek R1

Common questions

Amazon Nova 2 Pro vs DeepSeek R1

Answered from the verified figures on this page rather than general guidance.

Which has the larger context window, Amazon Nova 2 Pro or DeepSeek R1?
Amazon Nova 2 Pro accepts 1M tokens against 128K for DeepSeek R1. This only matters if you routinely send very long documents or large codebases.
Should I use Amazon Nova 2 Pro or DeepSeek R1?
Both are classified in our balanced tier; this editorial grouping does not imply equal capability. Amazon Nova 2 Pro is a candidate for aws-native workloads; DeepSeek R1 is a candidate for harder reasoning on a budget. Compare accuracy, tool reliability, latency and cost on representative tasks.
Can I self-host Amazon Nova 2 Pro or DeepSeek R1?
DeepSeek R1 publishes open weights, but self-hosting and third-party provider access depend on the licence, hardware, serving support, and availability. Amazon Nova 2 Pro is a closed model whose supported access paths are controlled by its provider.

Next step

Choosing between them

The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.

  • Context: Amazon Nova 2 Pro takes 1M against 128K for DeepSeek R1 — only decisive if your prompts approach the smaller window.
  • Deployment: DeepSeek R1 publishes weights you can self-host; the other is API-only.
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