Grok 4.7 vs GPT-6.1 Sol
Same $2 input price, released eight days apart. Grok 4.7 output is $6 against GPT-6.1 Sol's $10, but Sol offers twice the context window, batch pricing and a published max output; Grok 4.7 has no batch tier. GPT-6.1 Sol vs Grok 4.7 in one table: list price, context window, output limit, cutoff and release date, with a cost calculator for your own monthly volume.
| Spec | Grok 4.7 | GPT-6.1 Sol |
|---|---|---|
| Provider | xAI | OpenAI |
| Released | 2026-09-21 | 2026-09-29 |
| Input / 1M tokens | $2.00 | $2.00 |
| Output / 1M tokens | $6.00 | $10.00 |
| Cached input / 1M | $0.500 | $0.100 |
| Batch input / output | not published | $1.00 / $5.00 |
| Context window | 500K | 1.05M |
| Max output | not published | 128K |
| Knowledge cutoff | 2026-05 | 2026-04-30 |
| Image input | yes | yes |
| API ID | grok-4.7 | gpt-6.1-sol |
| Status | Generally available | Generally available |
Cost at your volume
list price, per monthPaste your usage instead of typing
Paste a line from a provider invoice, a usage dashboard, or an API response. We look for input and output token counts (JSON keys like input_tokens, prompt_tokens, completion_tokens, or text like "1.2M in, 300k out"). Nothing leaves your browser.
Examples that work: {"usage":{"input_tokens":1200000,"output_tokens":300000}} · 1.2M in, 300k out · GPT-6.1 Sol: 2.4B input tokens, 310M output tokens
Same token counts on both sides. Real bills differ: tokenizers differ, reasoning models bill thinking tokens as output, and caching or batch discounts apply differently. Rank all models →
Pick Grok 4.7 if…
- Cost matters most: $8.00 vs $12.00 per 1M in + 1M out, 33% less.
- You want the later knowledge cutoff (2026-05 vs 2026-04-30).
- You are already on xAI's stack (xAI API, Cursor, Grok Build).
- xAI calls it its most capable model and recommends it for code and chat (vendor claim).
Pick GPT-6.1 Sol if…
- You have evals showing it beats Grok 4.7 on your task by more than the 33% price gap.
- You need the larger context window (1.05M tokens).
- Your workload is cache-heavy: cached input is $0.100 vs $0.500 per 1M.
- You are already on OpenAI's stack (ChatGPT Work (Plus, Pro, Business, Enterprise, Edu), Codex, OpenAI API).
- OpenAI positions it as close to GPT-6 Astra on agentic coding, computer use and professional work at 1/5 the token price (vendor claim).
Price difference, in words
Per million tokens, Grok 4.7 lists at $2.00 in / $6.00 out, against $2.00 / $10.00 for GPT-6.1 Sol. That is 1.0× on input and 1.7× on output, or 33% less for a job that uses one million tokens each way ($8.00 vs $12.00).
With prompt caching, the gap moves: cached input is $0.500 on Grok 4.7 and $0.100 on GPT-6.1 Sol. Agent loops that re-send a large system prompt every turn pay mostly cached-input rates.
- xAI: Introducing Grok 4.7 read 2026-10-08
release date, headline price, availability, vendor benchmarks, fast variant - xAI docs: model page grok-4.7 read 2026-10-08
context window, modalities, pricing tiers, reasoning efforts, rate limits, batch support - xAI docs: models and pricing read 2026-10-08
price table for all Grok models, knowledge cutoff (May 2026) - xAI docs: release notes (September 2026) read 2026-10-08
launch entry, fast variant pricing multiplier, Grok 4.6 August launch
- OpenAI model page: gpt-6.1-sol read 2026-10-08
context, max output, cutoff, pricing, features, endpoints - OpenAI API pricing read 2026-10-08
standard, batch, flex, fast, long-context rates - OpenAI API changelog (Sep 29, 2026 entry) read 2026-10-08
release date, multi-agent beta - AWS What's New: GPT-6.1 Sol on Amazon Bedrock read 2026-10-08
Bedrock availability - TechCrunch: OpenAI launches GPT-6.1 Sol (secondary; quotes OpenAI) read 2026-10-08
availability by tier, OpenAI's capability claims