Model comparison

Grok 4.6 vs Grok 4.7

Q: Is Grok 4.6 or Grok 4.7 cheaper for input?

Both cost $2 per million input tokens at standard rates, so input price is not a deciding factor between them.

Q: Is Grok 4.6 or Grok 4.7 cheaper for output?

Both cost $6 per million output tokens at standard rates, so output price is not a deciding factor between them.

Q: Which has the larger context window, Grok 4.6 or Grok 4.7?

Both accept about 500K tokens of context, so document length will not decide between them.

Q: Do Grok 4.6 and Grok 4.7 support the same reasoning levels?

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

Q: Should I use Grok 4.6 or Grok 4.7?

Both sit in the frontier tier, so the choice usually comes down to price and context rather than capability. Grok 4.6 suits coding agents; Grok 4.7 suits coding agents.

Two SpaceXAI tiers compared on the figures that decide which one a workload actually needs.

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

SpaceXAI

Grok 4.6

Frontier

SpaceXAI

Grok 4.7

Frontier

AI model capability comparison
Specification	Grok 4.6	Grok 4.7
Provider
Provider	SpaceXAI	SpaceXAI
Tier
Tier	Frontier	Frontier
Context window
Context window	500K	500K
Max output
Max output	Not verifiedUnverified	Not verifiedUnverified
Input / 1M tokens
Input / 1M tokens	$2	$2
Output / 1M tokens
Output / 1M tokens	$6	$6
Weights
Weights	Closed	Closed
Parameters
Parameters	Not disclosedUnverified	new, larger base model with longer RL on multi-hour tasks
Reasoning levels
Reasoning levels	low, medium, high, xhigh	low, medium, high, xhigh
Modalities
Modalities	text, image	text, image
API model id
API model id	grok-4.6	grok-4.7
Released
Released	August 12, 2026	September 21, 2026
Artificial Analysis Intelligence Index [high] (2026-09-26)
Artificial Analysis Intelligence Index [high] (2026-09-26)	44.3	Not verifiedUnverified
Artificial Analysis Intelligence Index [xhigh] (2026-09-26)
Artificial Analysis Intelligence Index [xhigh] (2026-09-26)	Not verifiedUnverified	46.4
Terminal-Bench 2.1 (2026-08-18)
Terminal-Bench 2.1 (2026-08-18)	88	Not verifiedUnverified
GPQA Diamond (2026-08-18)
GPQA Diamond (2026-08-18)	94.9	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
2026-08-18
Artificial Analysis measurement (independent, high effort)
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.

Pricing tiers

Grok 4.6: $2/$6 per MTok (<200K prompt); $4/$12 (≥200K). Cached input $0.50/MTok ($1.00 at ≥200K). xAI's release notes list no separate text-output cap (bounded by the 500K context).

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

Grok 4.6

Grok 4.6 was xAI's August 2026 coding flagship, superseded by Grok 4.7 (2026-09-21) at the same $2/$6 price.

Best for

Coding agents
Chat and knowledge
Cost-sensitive frontier work

Watch out

Superseded — xAI's docs now say to use Grok 4.7 at the same price. Token rates double above a 200K-token prompt.

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

Both charge $6 per million output tokens at standard rates, so output price is not the split. Prefer the row whose “best for” line matches the job, then confirm the live vendor rate.

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 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.

Grok 4.6: xAI — Grok 4.6 (accessed 2026-08-29)
Grok 4.6: xAI pricing (grok-4.6 $2/$6, 500K) (accessed 2026-08-29)
Grok 4.6: xAI pricing (Grok 4.6 cached $0.50, ≥200K cached $1.00) (accessed 2026-09-26)
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? Grok 4.6 · Grok 4.7

Common questions

Grok 4.6 vs Grok 4.7

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

Is Grok 4.6 or Grok 4.7 cheaper for input?

Both cost $2 per million input tokens at standard rates, so input price is not a deciding factor between them.

Is Grok 4.6 or Grok 4.7 cheaper for output?

Both cost $6 per million output tokens at standard rates, so output price is not a deciding factor between them.

Which has the larger context window, Grok 4.6 or Grok 4.7?

Both accept about 500K tokens of context, so document length will not decide between them.

Do Grok 4.6 and Grok 4.7 support the same reasoning levels?

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

Should I use Grok 4.6 or Grok 4.7?

Both sit in the frontier tier, so the choice usually comes down to price and context rather than capability. Grok 4.6 suits coding agents; 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.

Measured capability: Grok 4.7 leads Artificial Analysis Intelligence Index 46.4 to 44.3 (measured 2026-09-26).

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