Skip to main content
AI Choice Engine

Model comparison

Amazon Nova 2 Pro vs Grok 4.5

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

Recorded profile verification October 2, 2026Individual provider fields may changeEvidence confidence: Medium — see receipts below

Amazon

Amazon Nova 2 Pro

Balanced

vs

SpaceXAI

Grok 4.5

Balanced

AI model capability comparison
SpecificationAmazon Nova 2 ProGrok 4.5
ProviderAmazonSpaceXAI
TierBalancedBalanced
Context windowWinner: 1M500K
Max outputNot verifiedUnverifiedNot verifiedUnverified
Input / 1M tokensWinner: $1.25$2
Output / 1M tokens$10Winner: $6
WeightsClosedClosed
ParametersNot verifiedUnverifiedNot verifiedUnverified
Reasoning levelslow, medium, highlow, medium, high
Modalitiestext, image, video, audiotext, image
API model idNot verifiedUnverifiedgrok-4.5
ReleasedDecember 2, 2025July 8, 2026
Terminal-Bench 2.1 · source date Grok 4.5: 2026-07-16Not verifiedUnverified83.3
DeepSWE 1.1 · source date Grok 4.5: 2026-07-16Not verifiedUnverified53
DeepSWE 1.1 · source date Grok 4.5: 2026-07Not verifiedUnverified54

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.

Benchmark receipts

Where each score comes from, and how far it can be compared across models.

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; Global Priority $2.1875/$17.50. These are native Nova 2.0 Pro meters in the September 30, 2026 offer file, not custom-model or training rates. No Pro cached-input meter is present in this snapshot. Price meters do not establish account access.

Grok 4.5: Standard $2/$6 per MTok below 200K prompt tokens; at 200K or more the full request bills $4/$12. Cached input $0.30 short or $0.60 long. US regional inference adds 10%. No separate text-output cap is verified.

BalancedRecord checked October 2, 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.

BalancedRecord checked October 1, 2026

Grok 4.5

Grok 4.5 is SpaceXAI's hosted reasoning model with a 500K-token context and configurable low, medium and high effort.

Best for

  • Real-time data queries
  • Technical tasks
  • Cost-sensitive reasoning

Watch out

An earlier API model, still listed in pricing; current docs recommend Grok 4.7. Context is 500K. xhigh requests map to high and reasoning cannot be disabled; presencePenalty, frequencyPenalty and stop are unsupported. Match the exact model, effort and dated benchmark configuration.

When the cheaper one wins

Grok 4.5 is cheaper on output at $6 per million tokens against $10 for Amazon Nova 2 Pro — about 1.7×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. This compares standard short-context token rates, not total cost per accepted task. Include input, cache, context tiers, schedules, retries and review in your pilot.

Run the model picker

Evidence confidence: Medium

How strong and complete the evidence behind this comparison is — not a prediction of which model is better.

  • Pricing verified on both sides — Input and output rates are verified for both models.
  • 3/5 core specs verified on both sides — Not published for at least one side: max output, parameter count.
  • 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 25 days 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 · Grok 4.5

Common questions

Amazon Nova 2 Pro vs Grok 4.5

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

Is Amazon Nova 2 Pro or Grok 4.5 cheaper for input?
Amazon Nova 2 Pro is cheaper at $1.25 per million input tokens, against $2 for Grok 4.5 — roughly 1.6× the price. Estimate both input and output token volume for your workload. These are base rates; Amazon Nova 2 Pro: Bedrock Global Standard $1.25/$10 per MTok; single-region $1.375/$11. Global Flex/Batch $0.625/$5; Global Priority $2.1875/$17.50. These are native Nova 2.0 Pro meters in the September 30, 2026 offer file, not custom-model or training rates. No Pro cached-input meter is present in this snapshot. Price meters do not establish account access. Grok 4.5: Standard $2/$6 per MTok below 200K prompt tokens; at 200K or more the full request bills $4/$12. Cached input $0.30 short or $0.60 long. US regional inference adds 10%. No separate text-output cap is verified.
Is Amazon Nova 2 Pro or Grok 4.5 cheaper for output?
Grok 4.5 is cheaper at $6 per million output tokens, against $10 for Amazon Nova 2 Pro — roughly 1.7× the price. Estimate both input and output token volume for your workload. These are base rates; Amazon Nova 2 Pro: Bedrock Global Standard $1.25/$10 per MTok; single-region $1.375/$11. Global Flex/Batch $0.625/$5; Global Priority $2.1875/$17.50. These are native Nova 2.0 Pro meters in the September 30, 2026 offer file, not custom-model or training rates. No Pro cached-input meter is present in this snapshot. Price meters do not establish account access. Grok 4.5: Standard $2/$6 per MTok below 200K prompt tokens; at 200K or more the full request bills $4/$12. Cached input $0.30 short or $0.60 long. US regional inference adds 10%. No separate text-output cap is verified.
Which has the larger context window, Amazon Nova 2 Pro or Grok 4.5?
Amazon Nova 2 Pro accepts 1M tokens against 500K for Grok 4.5. This only matters if you routinely send very long documents or large codebases.
Do Amazon Nova 2 Pro and Grok 4.5 support the same reasoning levels?
Both expose these named effort settings: "low", "medium", "high". The same labels do not guarantee equal compute budgets or behavior across providers. Compare quality, latency and cost on your own tasks.
Should I use Amazon Nova 2 Pro or Grok 4.5?
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; Grok 4.5 is a candidate for real-time data queries. Compare accuracy, tool reliability, latency and cost on representative tasks.

Next step

Choosing between them

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

  • Input price: Amazon Nova 2 Pro costs $1.25 per 1M tokens versus $2 for Grok 4.5 — a 1.6x difference at the headline tier.
  • Context: Amazon Nova 2 Pro takes 1M against 500K for Grok 4.5 — only decisive if your prompts approach the smaller window.
Run the model pickerEstimate stack costAll model comparisons

Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.