GPT-6 Sol
- Context
- 1,050,000
- Max output
- 128,000
- Input / MTok
- $2.00
- Cached / MTok
- $0.20
- Output / MTok
- $10.00
- Input types
- text + image
CODING · AGENTS · COST / VERIFIED 2026-10-04
Compare OpenAI and xAI production models on context, reasoning controls, multimodal input and dated Standard API economics.
LIVE VERIFIED FACTS
DECISION FACTORS
GPT-6 Sol publishes the larger context window: 1,050,000 vs 500,000 tokens (2.1×).
Both list image, text as input types.
For 100K uncached input + 10K output tokens, Grok 4.7 is lower at $0.26 vs $0.3 (1.2× difference).
GPT-6 Sol: 128,000. Grok 4.7: No separate limit.
HOW TO DECIDE
Context, modalities and direct token economics are comparable from official sources. Coding quality, latency, reliability and agent success should be measured on your own acceptance tests before production routing.
Use representative prompts, files, tools and expected outputs from the workload you plan to ship.
Include retries, cached tokens, long-context rules and tool charges—not only headline input price.
Record hallucinations, tool errors, timeout behavior and human corrections alongside pass rate.
A portfolio can outperform a one-model policy when different task classes have different cost and capability needs.
INDEPENDENT EVALUATIONS
GPT-6 Sol: 42 · Grok 4.7: 46
Group: artificial-analysis-v4.3.2A higher score is meaningful only within the exact comparable group shown. Under-review benchmarks are never used alone for a quality conclusion.
WHAT CHANGED
No post-baseline factual changes recorded for GPT-6 Sol, Grok 4.7 since 2026-09-27.
QUICK ANSWERS
GPT-6 Sol publishes the larger context window: 1,050,000 vs 500,000 tokens (2.1×).
For 100K uncached input + 10K output tokens, Grok 4.7 is lower at $0.26 vs $0.3 (1.2× difference).
No. This page compares source-backed specifications and economics. Quality, latency and task success require workload-specific evaluation evidence.