Model comparison
GPT-6 Sol vs Grok 4.7
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-6 Sol
Balanced
SpaceXAI
Grok 4.7
Frontier
| Specification | GPT-6 Sol | Grok 4.7 |
|---|---|---|
| Provider | ||
| Provider | OpenAI | SpaceXAI |
| Tier | ||
| Tier | Balanced | Frontier |
| Context window | ||
| Context window | Winner: 1.05M | 500K |
| Max output | ||
| Max output | 128K | Not verifiedUnverified |
| Input / 1M tokens | ||
| Input / 1M tokens | $2 | $2 |
| Output / 1M tokens | ||
| Output / 1M tokens | $10 | Winner: $6 |
| Weights | ||
| Weights | Closed | Closed |
| Parameters | ||
| Parameters | GPT-6 mid-price tier | new, larger base model with longer RL on multi-hour tasks |
| Reasoning levels | ||
| Reasoning levels | none, low, medium, high, xhigh, max | low, medium, high, xhigh |
| Modalities | ||
| Modalities | text, image | text, image |
| API model id | ||
| API model id | gpt-6-sol | grok-4.7 |
| Released | ||
| Released | September 22, 2026 | September 21, 2026 |
| Artificial Analysis Intelligence Index [max] (2026-09-26) | ||
| Artificial Analysis Intelligence Index [max] (2026-09-26) | 47.5 | Not verifiedUnverified |
| Artificial Analysis Intelligence Index [xhigh] (2026-09-26) | ||
| Artificial Analysis Intelligence Index [xhigh] (2026-09-26) | Not verifiedUnverified | 46.4 |
| DeepSWE 1.1 [max] (2026-09-22) | ||
| DeepSWE 1.1 [max] (2026-09-22) | 68.8 | Not verifiedUnverified |
| DeepSWE 1.1 [high] (2026-09-21) | ||
| DeepSWE 1.1 [high] (2026-09-21) | Not verifiedUnverified | 71 |
| OSWorld 2.0 (offline) [xhigh] (2026-09-22) | ||
| OSWorld 2.0 (offline) [xhigh] (2026-09-22) | 60.5 | Not verifiedUnverified |
| Terminal-Bench 4.0 [max] (2026-09-26) | ||
| Terminal-Bench 4.0 [max] (2026-09-26) | 43.9 | Not verifiedUnverified |
| 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.
- 2026-09-26Artificial 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.
- 2026-09-26Artificial 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.
- 2026-09-22OpenAI — Introducing GPT-6 Sol and Luna (vendor)
Agentic software engineering: pass@1 on real repo tasks with reported cost per completed task.
Directly comparable
- 2026-09-21xAI — 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
Pricing tiers
GPT-6 Sol: Replaces GPT-5.6 Sol at 50% of its $4/$20 promo price. Cached input $0.20/MTok; cache writes $2.50 (1.25x). Above 272K input the whole request bills $4/$15 ($0.40 cached). Batch/Flex $1/$5; Fast mode $4/$20. Knowledge cutoff Apr 20 2026. Launched in the API, ChatGPT Work and Codex the same day.
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.
GPT-6 Sol
GPT-6 Sol brings GPT-6 Astra's training advances to OpenAI's mid-priced tier — OpenAI claims roughly half GPT-5.6 Sol's factual-error rate at half its price, with a 1.05M-token context.
Best for
- Default OpenAI production model
- Agentic coding
- Long-context knowledge work
Watch out
Brand-new (2026-09-22): the DeepSWE figure is vendor-reported and it is not yet on the independent boards; long prompts above 272K bill $4/$15 for the whole request.
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 $10 for GPT-6 Sol — 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.
Run the model pickerEvidence 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: max output.
- 3 shared named benchmarks with differing scores — Measured on: Artificial Analysis Intelligence Index, DeepSWE 1.1, Terminal-Bench 4.0.
- 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-6 Sol: OpenAI — Introducing GPT-6 Sol and Luna (accessed 2026-09-26)
- GPT-6 Sol: OpenAI model docs — gpt-6-sol (1.05M context, 128K output) (accessed 2026-09-26)
- GPT-6 Sol: OpenAI API pricing (gpt-6-sol $2/$10, cached $0.20) (accessed 2026-09-26)
- GPT-6 Sol: OpenAI API changelog (Sep 22 2026) (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
Common questions
GPT-6 Sol vs Grok 4.7
Answered from the verified figures on this page rather than general guidance.
Is GPT-6 Sol or Grok 4.7 cheaper for input?
Is GPT-6 Sol or Grok 4.7 cheaper for output?
Which has the larger context window, GPT-6 Sol or Grok 4.7?
Do GPT-6 Sol and Grok 4.7 support the same reasoning levels?
Should I use GPT-6 Sol or Grok 4.7?
Next step
Choosing between them
The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.
- Context: GPT-6 Sol takes 1.05M against 500K for Grok 4.7 — only decisive if your prompts approach the smaller window.
- Measured capability: GPT-6 Sol leads Artificial Analysis Intelligence Index 47.5 to 46.4 (measured 2026-09-26).
- Positioning: GPT-6 Sol sits in the balanced tier, Grok 4.7 in the frontier tier — most production volume (classification, extraction, summarisation) does not need the pricier tier.
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.