GPT-6 Sol and Grok 4.7 both list at $2.00/1M input per 1M under their standard bands. Grok output is cheaper on the card ($6.00/1M vs $10.00/1M). Sol wins on cache reads ($0.200/1M vs $0.500/1M). Cheaper tokens do not always mean a cheaper finished task. Rates checked 23 Sep 2026.
Compare on one prompt
Open the tools compare page, paste one golden prompt, and hold output size fixed. Sol can be Exact in TokenCalculator. Grok stays Approx.
Sticker rates side by side
| Meter | GPT-6 Sol | Grok 4.7 |
|---|---|---|
| Input / 1M (standard) | $2.00/1M | $2.00/1M |
| Output / 1M (standard) | $10.00/1M | $6.00/1M |
| Cache read / 1M | $0.200/1M | $0.500/1M |
| Long-context threshold | 272K | 200K |
| Long-context input / output | $4.00/1M / $15.00/1M | $4.00/1M / $12.00/1M |
| Context window | about 1.05M | 500K |
| Tokenizer in TokenCalculator | Exact (o200k) | Approx |
Cheaper token, bigger bill
Grok $6 output sticker undercuts Sol $10. If Grok burns 2x the output tokens on the same eval, the invoice flips. Independent writeups in this niche watch that pattern. Always equalize finished tasks, not raw $/1M.
Where the invoice diverges
1. Output and cache
Short uncached generations with similar token counts favor Grok on output. Cache-heavy agents favor Sol on the $0.20 vs $0.50 cache read line.
2. Cliffs at 200K vs 272K
Grok doubles into the long-context band at 200K. Sol waits until 272K. Fat prompts between 200K and 272K often favor Sol on the rate card even when Grok wins below 200K.
3. Exact vs Approx
Sol can be Exact in TokenCalculator. Grok stays Approx. Equalize with provider meters before you lock a vendor on a spreadsheet alone.
Worked numbers (planning only)
Example A, uncached: 5K input + 2K output. Sol about $0.01 + $0.02 = $0.03. Grok about $0.01 + $0.012 = $0.022.
Example B, same task but Grok emits 4K output: Grok about $0.01 + $0.024 = $0.034, now above Sol’s $0.03.
Example C, cache heavy: 80K cached + 2K fresh + 1K output. Sol about $0.016 + $0.004 + $0.01 = $0.030. Grok about $0.040 + $0.004 + $0.006 = $0.050.
Workload cheatsheet
- Short uncached coding turns: Grok often cheaper on stickers if token burn matches.
- Cache-heavy agents under 200K: lean Sol on cache reads.
- Prompts 200K–272K: Sol usually safer on the rate card.
- Need Exact OpenAI counts or OpenAI tooling: prefer Sol.
Common mistakes
- Declaring Grok the winner from output stickers alone
- Ignoring the earlier 200K cliff on Grok
- Budgeting Grok with Sol Exact token counts
- Forgetting Sol Fast mode is about 2x when comparing latency tiers
Frequently asked questions
Is Grok 4.7 cheaper than GPT-6 Sol?
On output stickers under 200K, yes. Input stickers match. Cache reads favor Sol. Cost per finished task depends on token burn and whether you cross each cliff.
Why is Grok cheaper per token but sometimes more expensive per task?
More output tokens, more agent steps, or hitting the 200K band can erase the sticker gap. Price a full trace.
Which long-context cliff hits first?
Grok at 200K. Sol at 272K. Between those thresholds, Sol often wins the rate card.
Can I compare Exact token counts across both?
Sol can be Exact in TokenCalculator. Grok stays Approx. Use provider meters for contracts.
Where is Claude Opus 5.5 in this?
Opus 5.5 lists at $4.00/1M / $20.00/1M with $0.20 cache reads. See the Sol vs Opus 5.5 guide for that pair.
Do both models share the same context size?
No. Sol publishes about 1.05M. Grok publishes 500K.
Are these rates live?
No. Curated catalog rates last verified 23 Sep 2026. Confirm on OpenAI and xAI docs.
What should I open first?
Paste one production prompt into the cost calculator on Sol and Grok 4.7, then open the compare pair URL.
Next steps
- Grok 4.7 pricing
- GPT-6 Sol pricing
- Sol vs Opus 5.5
- Sol model page
- Grok 4.7 model page
- How we verify rates
Related Sep 2026 pricing guides
Frontier rate cards, cost-per-task math, and long-context cliffs. Cross-link these when you compare Sol, Luna, Opus 5.5, Grok 4.7, or Astra.