Cost and performance comparison
GPT-6.1 Sol vs Grok 4.7
Model AOpenAI
GPT-6.1 Sol
- Cost / 1M Tokens
- $4.40
- 70% in · 30% out mix
- Value Index (score÷cost)
- 22.0
- Higher = better value
- Speed
- 85/100
- Context
- 1.1M
- Tier
- Smart Tier
List price from the OpenAI pricing page, verified October 12, 2026.
Check the sourceModel BxAI
Grok 4.7
- Cost / 1M Tokens
- $3.20
- 70% in · 30% out mix
- Value Index (score÷cost)
- 28.8
- Higher = better value
- Speed
- 89/100
- Context
- 500K
- Tier
- Smart Tier
List price from the xAI pricing page, verified October 12, 2026.
Check the sourceIn-depth analysis
GPT-6.1 Sol vs Grok 4.7: Detailed Comparison
GPT-6.1 Sol is OpenAI's mid-range-tier language model with a 1.1M-token context window, excelling at reasoning. Grok 4.7 from xAI is a mid-range-tier model supporting 500K tokens in context, with standout performance in reasoning.
This is a genuine tradeoff rather than a clear win. GPT-6.1 Sol leads by 10 points on combined coding and reasoning, and costs 27% more for the same text to do it. The margin is narrow enough that the answer depends on your workload: on tasks where the extra capability shows up, the premium pays for itself; on routine work it does not. GPT-6.1 Sol is priced at $2.00/M input tokens and $10.00/M output tokens. Grok 4.7 costs $2.00/M input and $6.00/M output.
On iOPTERA's editorial scores, GPT-6.1 Sol leads with 96/100 for coding and 97/100 for reasoning, against Grok 4.7's 91/100 and 92/100.
Capability breakdown
Across the five core benchmark categories, here is how GPT-6.1 Sol and Grok 4.7 stack up head to head:
Best model by task
- coding: GPT-6.1 Sol wins with 96/100
- reasoning: GPT-6.1 Sol wins with 97/100
- data extraction: GPT-6.1 Sol wins with 95/100
- creative tasks: GPT-6.1 Sol wins with 94/100
- vision/multimodal: GPT-6.1 Sol wins with 95/100
Estimated monthly cost at scale
For 10M + 2M tokens of text a month (counted the way OpenAI's tokenizer counts), GPT-6.1 Sol runs about $40.00 while Grok 4.7 runs about $32.00 — Grok 4.7 saves roughly $8.00 (20%) every month.
What actually decides it
GPT-6.1 Sol and Grok 4.7 come from different labs, which means different tokenizers, different API shapes, and a second vendor relationship. The same English text does not produce the same token count on both, so a price-per-million comparison understates the difference — measure your own prompts on each before treating the headline rates as the full story.
GPT-6.1 Sol and Grok 4.7 were released within 0 months of each other, so they are competing on the same evaluations under roughly the same conditions. That makes a direct benchmark comparison meaningful here in a way it usually is not — neither model has the advantage of being measured on a newer, easier set of tests.
GPT-6.1 Sol carries the larger context window at 1.1M tokens versus 500K for Grok 4.7. The gap is real but not decisive — it matters if your prompts routinely run long, and is irrelevant if they sit where most production prompts sit, well under 100K. Bear in mind that filling a large window is also what makes a request expensive.
Throughput is close enough to ignore — 89/100 versus 85/100. Neither model will feel noticeably quicker in an interactive product, so latency is not a reason to choose between them.
One practical asymmetry: GPT-6.1 Sol offers a batch API at 50% off standard rates, and Grok 4.7 does not. For anything that does not need an answer immediately — nightly enrichment, backfills, evaluation runs — that discount can be worth more than the difference in list price, and it is easy to overlook when comparing headline rates.
Neither model is the obvious answer. GPT-6.1 Sol leads on benchmarks, Grok 4.7 on cost, and the gap is small on both. Run the calculator above with your real token mix — for most workloads that decides it faster than any benchmark table will.
What you actually pay
The list price is only the start. Prompt caching, batch processing and long prompts change the bill, and each provider sets them differently. Prices per 1M tokens.
| Pricing term | GPT-6.1 Sol | Grok 4.7 |
|---|---|---|
| List price (input / output) | $2.00 / $10.00 | $2.00 / $6.00 |
| Cached input | $0.105% of the input price | $0.5025% of the input price |
| Batch API | 50% off input and output | Not on the price page |
| Long prompts | Over 272K tokens: $4.00 / $15.00 | From 200K tokens: $4.00 / $12.00 |
| Input with 80% cache hits | $0.48 | $0.80 |
With 80% of input served from the cache, GPT-6.1 Sol costs 40% less than Grok 4.7 for the same input text, counting each model's tokenizer.The tokenizer factor for Grok 4.7 is our estimate until it is measured.
Capability scores
iOPTERA editorial scores across 5 categories — informed by public benchmarks, not measured by us
Coding
Reasoning
Extraction
Creative
Vision
Speed Score
Context Window
What Is a Token?
Models don't read words — they process tokens.
A token is roughly 4 characters of English text (~¾ of a word). Your API bill is priced per million tokens — understanding this directly reduces your costs.
Short phrase
"Hello, world!"
- GPT-6.1 Sol
- $0.80
- Grok 4.7
- $0.80
Business email
One typical email (~200 words)
- GPT-6.1 Sol
- $54.00
- Grok 4.7
- $54.00
Code file
50-line Python script
- GPT-6.1 Sol
- $80.00
- Grok 4.7
- $80.00
Prices shown are for 100,000 runs of each workload — one run costs a fraction of a cent on both GPT-6.1 Sol and Grok 4.7, so the number only becomes meaningful at production volume. Input tokens only; add your output volume in the calculator below.
How to check your token usage
response.usage.total_tokensEvery API response includes a usage object. Sum total_tokens across all calls to get your monthly figure, then use the calculator below.
Your Cost Calculator
Enter your actual monthly token usage to see real savings
Quick Presets
GPT-6.1 Sol
$132.00/mo
$1,584.00/yr
Grok 4.7
$96.00/mo
$1,152.00/yr
Annual Savings
$432.00 saved per year
Grok 4.7 cheaper · $36.00/mo
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