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Model comparison

GPT-5.5 Pro vs Grok 4.6

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

Catalog record checked September 3, 2026Individual provider fields may changeEvidence confidence: High — see receipts below

OpenAI

GPT-5.5 Pro

Frontier

vs

xAI

Grok 4.6

Frontier

AI model capability comparison
SpecificationGPT-5.5 ProGrok 4.6
ProviderOpenAIxAI
TierFrontierFrontier
Context windowWinner: 1.05M500K
Max output128KWinner: 131K
Input / 1M tokens$30Winner: $2
Output / 1M tokens$180Winner: $6
WeightsClosedClosed
ParametersNot disclosedUnverifiedNot disclosedUnverified
Reasoning levelsnone, low, medium, high, xhigh, maxlow, medium, high, xhigh
Modalitiestext, imagetext, image
API model idgpt-5.5-progrok-4.6
ReleasedApril 23, 2026August 12, 2026
Artificial Analysis Intelligence Index [xhigh] (2026-08-14)60Not verifiedUnverified
Artificial Analysis Intelligence Index [high] (2026-08-14)Not verifiedUnverified61
Terminal-Bench 2.1 (2026-08-18)Not verifiedUnverified88
GPQA Diamond (2026-08-18)Not verifiedUnverified94.9

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

  • 2026-08-18: Artificial Analysis measurement (independent; tied 1st with Gemini 3.7 Flash high)Agentic terminal work: multi-step tasks executed in a sandboxed shell environment. Comparability: comparable with caveat — Scores across Terminal-Bench major versions (v1 vs v2) are NOT comparable; harness configuration (container, time limits) also shifts results.
  • 2026-08-14: Artificial AnalysisComposite index blending reasoning, knowledge, and coding evals into one 0–100 score. Comparability: directly comparable — AA occasionally rebaselines the index scale between snapshots — a score captured on one date is only comparable to same-snapshot scores (check measuredAt).

Pricing tiers: GPT-5.5 Pro: Standard $30/$180 per MTok; no cached-input discount. Batch $15/$90. · Grok 4.6: $2/$6 per MTok (<200K prompt); $4/$12 (≥200K). Cached input $0.50/MTok. Knowledge cutoff Feb 1 2026.

FrontierRecord checked September 3, 2026

GPT-5.5 Pro

GPT-5.5 Pro is OpenAI's highest-effort tier for maximal accuracy on the hardest tasks.

Best for

  • Maximum-accuracy reasoning
  • Research
  • Hard enterprise workloads

Watch out

At $30/$180 per MTok it is the most expensive OpenAI tier; reserve for work that needs it.

FrontierRecord checked September 3, 2026

Grok 4.6

Grok 4.6 is xAI's current flagship coding model, strong on LMArena WebDev.

Best for

  • Coding agents
  • Chat and knowledge
  • Cost-sensitive frontier work

Watch out

Token rates double above a 200K-token prompt.

When the cheaper one wins

Grok 4.6 is cheaper on output at $6 per million tokens against $180 for GPT-5.5 Pro — about 30×. 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.

Run the model picker

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 sidesInput and output rates are verified for both models.
  • 4/5 core specs verified on both sidesNot published for at least one side: parameter count.
  • 1 shared named benchmark (scores match)Measured on: Artificial Analysis Intelligence Index — scores are equivalent, so the benchmark does not separate the pair.
  • Verified within the last 90 daysNewest catalog check was 8 days ago.
  • Both models carry source citationsEach 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.

Common questions

GPT-5.5 Pro vs Grok 4.6

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

Is GPT-5.5 Pro or Grok 4.6 cheaper for input?

Grok 4.6 is cheaper at $2 per million input tokens, against $30 for GPT-5.5 Pro — roughly 15× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; GPT-5.5 Pro has tiered pricing: Standard $30/$180 per MTok; no cached-input discount. Batch $15/$90. Grok 4.6 has tiered pricing: $2/$6 per MTok (<200K prompt); $4/$12 (≥200K). Cached input $0.50/MTok. Knowledge cutoff Feb 1 2026.

Is GPT-5.5 Pro or Grok 4.6 cheaper for output?

Grok 4.6 is cheaper at $6 per million output tokens, against $180 for GPT-5.5 Pro — roughly 30× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; GPT-5.5 Pro has tiered pricing: Standard $30/$180 per MTok; no cached-input discount. Batch $15/$90. Grok 4.6 has tiered pricing: $2/$6 per MTok (<200K prompt); $4/$12 (≥200K). Cached input $0.50/MTok. Knowledge cutoff Feb 1 2026.

Which has the larger context window, GPT-5.5 Pro or Grok 4.6?

GPT-5.5 Pro accepts 1.05M tokens against 500K for Grok 4.6. This only matters if you routinely send very long documents or large codebases.

Do GPT-5.5 Pro and Grok 4.6 support the same reasoning levels?

GPT-5.5 Pro exposes none, low, medium, high, xhigh, max, while Grok 4.6 exposes low, medium, high, xhigh.

Should I use GPT-5.5 Pro or Grok 4.6?

Both sit in the frontier tier, so the choice usually comes down to price and context rather than capability. GPT-5.5 Pro suits maximum-accuracy reasoning; Grok 4.6 suits coding agents.

Next step

Choosing between them

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

  • Input price: Grok 4.6 costs $2 per 1M tokens versus $30 for GPT-5.5 Pro — a 15x difference at the headline tier.
  • Context: GPT-5.5 Pro takes 1.05M against 500K for Grok 4.6 — only decisive if your prompts approach the smaller window.
  • Measured capability: Grok 4.6 leads Artificial Analysis Intelligence Index 61 to 60 (measured 2026-08-14).

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