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Model comparison

Gemini 2.5 Pro vs Grok 4.5

Google against xAI, compared on context, price, and verified benchmark results.

Catalog record checked September 5, 2026Individual provider fields may changeEvidence confidence: High — see receipts below

Google

Gemini 2.5 Pro

Balanced

vs

xAI

Grok 4.5

Balanced

AI model capability comparison
SpecificationGemini 2.5 ProGrok 4.5
ProviderGooglexAI
TierBalancedBalanced
Context windowWinner: 1.05M500K
Max output66KWinner: 131K
Input / 1M tokensWinner: $1.25$2
Output / 1M tokens$10Winner: $6
WeightsClosedClosed
ParametersNot disclosedUnverifiedNot disclosedUnverified
Reasoning levelslow, medium, highlow, medium, high
Modalitiestext, image, video, audio, pdftext, image
API model idgemini-2.5-progrok-4.5
ReleasedJune 17, 2025July 8, 2026
Artificial Analysis Intelligence Index (2026-08-14)47Not verifiedUnverified
Artificial Analysis Intelligence Index [high] (2026-08-14)Not verifiedUnverified56
Terminal-Bench 2.1 (2026-07-16)Not verifiedUnverified83.3
DeepSWE 1.1 (2026-07)Not verifiedUnverified54

Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.

Benchmark receipts

Pricing tiers: Gemini 2.5 Pro: $1.25/$10 per MTok (≤200K); $2.50/$15 (>200K). Legacy but still widely listed. · Grok 4.5: $2/$6 per MTok (<200K prompt); $4/$12 (≥200K). Cached input $0.30/MTok.

BalancedRecord checked September 2, 2026

Gemini 2.5 Pro

Gemini 2.5 Pro is Google's previous-generation Pro with a 1.05M-token context and strong multimodal support.

Best for

  • Long documents
  • Multimodal input
  • Google Workspace integration

Watch out

A generation behind Gemini 3.x; verify on your workload.

BalancedRecord checked September 5, 2026

Grok 4.5

Grok 4.5 is xAI's balanced model with a 500K context and real-time X integration.

Best for

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

Watch out

A step behind Grok 4.6; 500K context is smaller than the 1M-class models.

When the cheaper one wins

Grok 4.5 is cheaper on output at $6 per million tokens against $10 for Gemini 2.5 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. These are standard-tier API rates, excluding batch and cache discounts.

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Evidence confidence: High

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.
  • 4/5 core specs verified on both sides — Not published for at least one side: parameter count.
  • 1 shared named benchmark with differing scores — Measured on: Artificial Analysis Intelligence Index.
  • Verified within the last 90 days — Newest catalog check was 6 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? Gemini 2.5 Pro · Grok 4.5

Common questions

Gemini 2.5 Pro vs Grok 4.5

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

Is Gemini 2.5 Pro or Grok 4.5 cheaper for input?

Gemini 2.5 Pro is cheaper at $1.25 per million input tokens, against $2 for Grok 4.5 — roughly 1.6× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Gemini 2.5 Pro has tiered pricing: $1.25/$10 per MTok (≤200K); $2.50/$15 (>200K). Legacy but still widely listed. Grok 4.5 has tiered pricing: $2/$6 per MTok (<200K prompt); $4/$12 (≥200K). Cached input $0.30/MTok.

Is Gemini 2.5 Pro or Grok 4.5 cheaper for output?

Grok 4.5 is cheaper at $6 per million output tokens, against $10 for Gemini 2.5 Pro — roughly 1.7× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Gemini 2.5 Pro has tiered pricing: $1.25/$10 per MTok (≤200K); $2.50/$15 (>200K). Legacy but still widely listed. Grok 4.5 has tiered pricing: $2/$6 per MTok (<200K prompt); $4/$12 (≥200K). Cached input $0.30/MTok.

Which has the larger context window, Gemini 2.5 Pro or Grok 4.5?

Gemini 2.5 Pro accepts 1.05M tokens against 500K for Grok 4.5. This only matters if you routinely send very long documents or large codebases.

Do Gemini 2.5 Pro and Grok 4.5 support the same reasoning levels?

Yes — both accept the same effort settings: "low", "medium", "high". Higher effort costs more and takes longer, so start low and raise it only where output quality actually improves.

Should I use Gemini 2.5 Pro or Grok 4.5?

Both sit in the balanced tier, so the choice usually comes down to price and context rather than capability. Gemini 2.5 Pro suits long documents; Grok 4.5 suits real-time data queries.

Next step

Choosing between them

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

  • Input price: Gemini 2.5 Pro costs $1.25 per 1M tokens versus $2 for Grok 4.5 — a 1.6x difference at the headline tier.
  • Context: Gemini 2.5 Pro takes 1.05M against 500K for Grok 4.5 — only decisive if your prompts approach the smaller window.
  • Measured capability: Grok 4.5 leads Artificial Analysis Intelligence Index 56 to 47 (measured 2026-08-14).
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