The rate cards side by side
| Grok 4.7 | GPT-6.1 Sol | |
|---|---|---|
| Input / 1M | $2.00 | $2.00 |
| Output / 1M | $6.00 | $10.00 |
| Cached input / 1M | $0.50 | $0.10 |
| Batch / 1M | No batch tier | $1.00 / $5.00 |
| Long-context rule | $4/$12 at 200K+ prompt tokens | $4/$15 past 272K tokens |
| Fast mode / 1M | No fast tier on the public rate card | $4.00 / $20.00 |
| Reasoning control | Effort levels: low / medium / high / xHigh | Standard reasoning controls |
Grok 4.7's rates are verified on xAI's release notes; Sol's on OpenAI's pricing page. The headline favors Grok: identical input, 40% cheaper output. The fine print favors Sol: a deeper cache discount, a real batch tier, and a higher long-context threshold.
Three workloads, three winners
Grok 4.7: 100 × $2 + 40 × $6 = $440 · Sol: 100 × $2 + 40 × $10 = $600 → Grok wins
Cached chatbot, 100M in (80% hits) + 20M out:
Grok 4.7: 100 × (0.2 × $2 + 0.8 × $0.50) + 120 = $200 · Sol: 100 × $0.48 + 200 = $248 → Grok wins
Batchable nightly job, 100M in + 20M out:
Grok 4.7: $320 (no batch) · Sol batch: 100 × $1 + 20 × $5 = $200 → Sol wins
The pattern: Grok 4.7 wins interactive and output-heavy work; Sol wins anything batchable. The batch tier is a 37% swing on the same token mix — bigger than the output-rate advantage.
Quality: what we can and cannot say
JetAI publishes no in-house benchmark scores, so we make no measured quality claim in this matchup. Vendor-published figures exist — xAI's launch materials report Grok 4.7's benchmark scores from xAI's own harness — but independent replication has disagreed on key numbers, so we treat them as vendor claims. The decision here should rest on verified price mechanics and your own task-level testing.
Which to pick
- Pick Grok 4.7 for output-heavy interactive workloads — chat, drafting, code generation — where the $6/M output rate compounds, and prompts stay under 200K tokens.
- Pick GPT-6.1 Sol for batchable pipelines ($1/$5 is decisive), heavily cached workloads ($0.10 vs $0.50 cache reads), and long-context sessions near the 200–272K zone.
- Pick both: Grok for the interactive tier, Sol-batch for the offline tier. They are priced to complement each other.
Deep dives: Grok 4.7 pricing, GPT-6.1 Sol pricing lanes. Model your own mix with the bill estimator.
Quick answers
Is Grok 4.7 cheaper than GPT-6.1 Sol?
On standard rates, yes for output-heavy work: both charge $2/1M input, but Grok 4.7 charges $6/1M output against GPT-6.1 Sol's $10 — 40% less. But Sol has a 50% batch tier ($1/$5) and cheaper cached input ($0.10 vs $0.50), so batchable or heavily cached workloads can be cheaper on Sol.
What is the Grok 4.7 200K token cliff?
Prompts of 200,000 tokens or more are billed at $4/$12 per million instead of $2/$6 — and the higher rate applies to the entire request. It triggers earlier than GPT-6.1 Sol's long-context band, so long agent sessions can flip the cost winner.
Does Grok 4.7 support batch processing discounts?
Not on the current public rate card. Grok's cost levers are cached input ($0.50/1M), reasoning-effort settings, and staying under the 200K-token pricing cliff. GPT-6.1 Sol's 50% batch tier is the decisive advantage for offline workloads — if a job can wait up to 24 hours, Sol's $1/$5 batch rate usually wins it.
Which is better for coding agents, Grok 4.7 or GPT-6.1 Sol?
We make no measured quality claim for either model — JetAI publishes no in-house benchmark scores. On verified price: Grok 4.7's output rate and reasoning-effort controls suit interactive agent loops; GPT-6.1 Sol's batch tier suits offline agent runs. Test both on your tasks and compare cost per completed task.