Model comparison

GPT-5.5 vs Grok 4.7

Q: Is GPT-5.5 or Grok 4.7 cheaper for input?

Grok 4.7 is cheaper at $2 per million input tokens, against $5 for GPT-5.5 — roughly 2.5× 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 has tiered pricing: Standard $5/$30 per MTok; >272K input billed 2x in / 1.5x out. Cached input $0.50/MTok; batch $2.50/$15. Grok 4.7 has tiered pricing: $2/$6 per MTok (<200K prompt); $4/$12 for all tokens at ≥200K. Cached input $0.50/MTok ($1.00 at ≥200K). US regional endpoint 1.1x. No Batch API; the 2x-price 'Fast' variant is Cursor and Grok Build only. xAI lists no separate text-output cap. Knowledge cutoff May 2026.

Q: Is GPT-5.5 or Grok 4.7 cheaper for output?

Grok 4.7 is cheaper at $6 per million output tokens, against $30 for GPT-5.5 — roughly 5.0× 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 has tiered pricing: Standard $5/$30 per MTok; >272K input billed 2x in / 1.5x out. Cached input $0.50/MTok; batch $2.50/$15. Grok 4.7 has tiered pricing: $2/$6 per MTok (<200K prompt); $4/$12 for all tokens at ≥200K. Cached input $0.50/MTok ($1.00 at ≥200K). US regional endpoint 1.1x. No Batch API; the 2x-price 'Fast' variant is Cursor and Grok Build only. xAI lists no separate text-output cap. Knowledge cutoff May 2026.

Q: Which has the larger context window, GPT-5.5 or Grok 4.7?

GPT-5.5 accepts 1.05M tokens against 500K for Grok 4.7. This only matters if you routinely send very long documents or large codebases.

Q: Do GPT-5.5 and Grok 4.7 support the same reasoning levels?

GPT-5.5 exposes none, low, medium, high, xhigh, while Grok 4.7 exposes low, medium, high, xhigh.

Q: Should I use GPT-5.5 or Grok 4.7?

Both sit in the frontier tier, so the choice usually comes down to price and context rather than capability. GPT-5.5 suits reasoning; Grok 4.7 suits coding agents.

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

Catalog record checked September 26, 2026Individual provider fields may changeEvidence confidence: High — see receipts below

OpenAI

GPT-5.5

Frontier

SpaceXAI

Grok 4.7

Frontier

AI model capability comparison
Specification	GPT-5.5	Grok 4.7
Provider
Provider	OpenAI	SpaceXAI
Tier
Tier	Frontier	Frontier
Context window
Context window	Winner: 1.05M	500K
Max output
Max output	128K	Not verifiedUnverified
Input / 1M tokens
Input / 1M tokens	$5	Winner: $2
Output / 1M tokens
Output / 1M tokens	$30	Winner: $6
Weights
Weights	Closed	Closed
Parameters
Parameters	Not disclosedUnverified	new, larger base model with longer RL on multi-hour tasks
Reasoning levels
Reasoning levels	none, low, medium, high, xhigh	low, medium, high, xhigh
Modalities
Modalities	text, image	text, image
API model id
API model id	gpt-5.5	grok-4.7
Released
Released	April 23, 2026	September 21, 2026
Artificial Analysis Intelligence Index [xhigh] (2026-09-26)
Artificial Analysis Intelligence Index [xhigh] (2026-09-26)	38.4	Winner: 46.4
SWE-bench Verified (2026-09-01)
SWE-bench Verified (2026-09-01)	82.6	Not verifiedUnverified
Terminal-Bench 2.1 (2026-07-27)
Terminal-Bench 2.1 (2026-07-27)	83.4	Not verifiedUnverified
GPQA Diamond (2026-07-27)
GPQA Diamond (2026-07-27)	93.5	Not verifiedUnverified
Humanity's Last Exam (2026-04-23)
Humanity's Last Exam (2026-04-23)	52.2	Not verifiedUnverified
DeepSWE 1.1 [high] (2026-09-21)
DeepSWE 1.1 [high] (2026-09-21)	Not verifiedUnverified	71
Terminal-Bench 4.0 [xhigh] (2026-09-26)
Terminal-Bench 4.0 [xhigh] (2026-09-26)	Not verifiedUnverified	25.8

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

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

2026-09-26
Artificial Analysis Terminal-Bench 4.0 (independent AA run, part of Intelligence Index v4.3.2)
Agentic terminal work: long multi-step tasks executed in a sandboxed shell environment.
Comparable with caveatNOT comparable with Terminal-Bench 2.x or 3.0 — 4.0 uses a new, non-overlapping task set. Within 4.0, scores from different harnesses (tbench.ai agent entries vs Artificial Analysis runs) are not interchangeable.
2026-09-26
Artificial Analysis
Composite index blending reasoning, knowledge, and coding evals into one 0–100 score.
Comparable with caveatOnly same-version scores are comparable. v4.3.2 was rebaselined (the top score fell from 66 on v4.1.1 to ~58), so v4.1.1 figures must not be compared with v4.3.2 figures — check measuredAt.
2026-09-21
xAI — Grok 4.7 announcement (vendor; not yet on Datacurve's board)
Agentic software engineering: pass@1 on real repo tasks with reported cost per completed task.
Directly comparable
2026-09-01
vals.ai SWE-bench Verified leaderboard (independent, mini-swe-agent bash-only); official SWE-bench not published
Real GitHub issue resolution: does the model's patch pass the hidden tests.
Comparable with caveatPost-audit vendor claims and pre-audit scores sit on different task trust levels; scaffolding (agent harness, compute budget) also dominates results. Never aggregate across scaffolds.
2026-07-27
Kimi K3 model card (vendor-reported, xhigh); announcement charts show 93.6 — minor conflict preserved
Agentic terminal work: multi-step tasks executed in a sandboxed shell environment.
Comparable with caveatNot comparable with Terminal-Bench 3.0 or 4.0 (different task sets) or v1; harness configuration (container, time limits) also shifts results.
2026-04-23
OpenAI — Introducing GPT-5.5 (vendor, with tools; 41.4 no tools)
Frontier-knowledge ceiling: extremely hard multi-domain questions written to be near-impossible without deep expertise.
Comparable with caveatSubset/tool configurations (text-only vs with-tools) differ between vendors and materially change scores; must match configuration to compare.

Pricing tiers

GPT-5.5: Standard $5/$30 per MTok; >272K input billed 2x in / 1.5x out. Cached input $0.50/MTok; batch $2.50/$15.

Grok 4.7: $2/$6 per MTok (<200K prompt); $4/$12 for all tokens at ≥200K. Cached input $0.50/MTok ($1.00 at ≥200K). US regional endpoint 1.1x. No Batch API; the 2x-price 'Fast' variant is Cursor and Grok Build only. xAI lists no separate text-output cap. Knowledge cutoff May 2026.

FrontierRecord checked September 26, 2026

GPT-5.5

GPT-5.5 is OpenAI's April 2026 flagship, now two generations back — strong on Terminal-Bench 2.0 (82.7%) with a 1.05M-token context.

Best for

Reasoning
Agentic coding
Long-context work

Watch out

Superseded by GPT-5.6 and then GPT-6 Astra/Sol; still served and widely integrated.

FrontierRecord checked September 26, 2026

Grok 4.7

Grok 4.7 is xAI's flagship since 2026-09-21 — a larger new base model with longer RL on multi-hour tasks, at Grok 4.6's $2/$6 price.

Best for

Coding agents
Cost-sensitive frontier work
Cursor and GitHub Copilot users

Watch out

Token rates double above a 200K-token prompt and there is no Batch API; the DeepSWE figure is vendor-reported.

When the cheaper one wins

Grok 4.7 is cheaper on output at $6 per million tokens against $30 for GPT-5.5 — about 5.0×. 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.
3/5 core specs verified on both sides — Not published for at least one side: max output, 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 2 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.

GPT-5.5: OpenAI — Introducing GPT-5.5 (accessed 2026-08-29)
GPT-5.5: OpenAI API pricing (gpt-5.5 $5/$30) (accessed 2026-08-29)
Grok 4.7: xAI — Grok 4.7 (accessed 2026-09-26)
Grok 4.7: xAI docs — grok-4.7 model card (accessed 2026-09-26)
Grok 4.7: xAI pricing (grok-4.7 $2/$6, ≥200K $4/$12) (accessed 2026-09-26)
Grok 4.7: GitHub changelog — Grok 4.7 in Copilot (2026-09-21) (accessed 2026-09-26)

Related comparisons

Diving deeper on one model? GPT-5.5 · Grok 4.7

Common questions

GPT-5.5 vs Grok 4.7

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

Is GPT-5.5 or Grok 4.7 cheaper for input?

Grok 4.7 is cheaper at $2 per million input tokens, against $5 for GPT-5.5 — roughly 2.5× 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 has tiered pricing: Standard $5/$30 per MTok; >272K input billed 2x in / 1.5x out. Cached input $0.50/MTok; batch $2.50/$15. Grok 4.7 has tiered pricing: $2/$6 per MTok (<200K prompt); $4/$12 for all tokens at ≥200K. Cached input $0.50/MTok ($1.00 at ≥200K). US regional endpoint 1.1x. No Batch API; the 2x-price 'Fast' variant is Cursor and Grok Build only. xAI lists no separate text-output cap. Knowledge cutoff May 2026.

Is GPT-5.5 or Grok 4.7 cheaper for output?

Grok 4.7 is cheaper at $6 per million output tokens, against $30 for GPT-5.5 — roughly 5.0× 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 has tiered pricing: Standard $5/$30 per MTok; >272K input billed 2x in / 1.5x out. Cached input $0.50/MTok; batch $2.50/$15. Grok 4.7 has tiered pricing: $2/$6 per MTok (<200K prompt); $4/$12 for all tokens at ≥200K. Cached input $0.50/MTok ($1.00 at ≥200K). US regional endpoint 1.1x. No Batch API; the 2x-price 'Fast' variant is Cursor and Grok Build only. xAI lists no separate text-output cap. Knowledge cutoff May 2026.

Which has the larger context window, GPT-5.5 or Grok 4.7?

GPT-5.5 accepts 1.05M tokens against 500K for Grok 4.7. This only matters if you routinely send very long documents or large codebases.

Do GPT-5.5 and Grok 4.7 support the same reasoning levels?

GPT-5.5 exposes none, low, medium, high, xhigh, while Grok 4.7 exposes low, medium, high, xhigh.

Should I use GPT-5.5 or Grok 4.7?

Both sit in the frontier tier, so the choice usually comes down to price and context rather than capability. GPT-5.5 suits reasoning; Grok 4.7 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 4.7 costs $2 per 1M tokens versus $5 for GPT-5.5 — a 2.5x difference at the headline tier.
Context: GPT-5.5 takes 1.05M against 500K for Grok 4.7 — only decisive if your prompts approach the smaller window.
Measured capability: Grok 4.7 leads Artificial Analysis Intelligence Index 46.4 to 38.4 (measured 2026-09-26).

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