Grok 4.7 vs GPT-6.1 Sol Pro: API Pricing, Limits & Cost Delta
Side-by-side 2026 engineering comparison between xAI Grok 4.7 and OpenAI GPT-6.1 Sol Pro—covering uncached input, cached prefix reads, output rates, max completion tokens, and live 30-day workload savings.
Interactive Workload Cost Delta Simulator
Side-by-Side Unit Price & Capability Matrix
| Dimension | Grok 4.7 | GPT-6.1 Sol Pro |
|---|---|---|
| Provider & Release Date | xAI (2026-09-21) | OpenAI (2026-09-29) |
| Primary Workload Tier | Coding & Agent | Frontier Reasoning |
| Uncached Input ($ / 1M tokens) | $2 | $2 |
| Cached Prompt Read ($ / 1M tokens) | $0.5 | $0.1 |
| Output Completion ($ / 1M tokens) | $6 | $10 |
| 50% Async Batch API | Supported | Supported |
| Context Window (tokens) | 500,000 | 1,050,000 |
| Max Output Tokens | 450,000 | 128,000 |
| Function / Tool Calling | Supported | Supported |
| Strict JSON Schema Outputs | Supported | Supported |
| Reasoning Token Mode | Supported | Supported |
| Accepted Input Modalities | text, image, file | text, file, image |
Decision Rubric: When to Pick Grok 4.7 vs GPT-6.1 Sol Pro
When to choose Grok 4.7 (xAI)
Select Grok 4.7 when your workload prioritizes its Coding & Agent profile ($2/1M input, $0.5/1M cached read, $6/1M output) with up to 500,000 context tokens and 450,000 max output tokens (50% Batch API supported).
Grok 4.7 full pricing sheet →When to choose GPT-6.1 Sol Pro (OpenAI)
Select GPT-6.1 Sol Pro when your workload prioritizes its Frontier Reasoning profile ($2/1M input, $0.1/1M cached read, $10/1M output) with up to 1,050,000 context tokens and 128,000 max output tokens (50% Batch API supported).
GPT-6.1 Sol Pro full pricing sheet →Frequently Asked Questions
Is Grok 4.7 cheaper than GPT-6.1 Sol Pro for production API workloads?
On standard uncached rates, Grok 4.7 bills $2/1M input and $6/1M output versus GPT-6.1 Sol Pro at $2/1M input and $10/1M output. On a typical 1,000 calls/day workload (4,000 input tokens at 50% cache hit + 800 output tokens), Grok 4.7 saves $72.00/month (20% lower).
How do Grok 4.7 and GPT-6.1 Sol Pro compare on context window and max output tokens?
Grok 4.7 offers a 500,000-token context window with 450,000 max output tokens (text, image, file), while GPT-6.1 Sol Pro provides a 1,050,000-token context window with 128,000 max output tokens (text, file, image).
Can I switch between Grok 4.7 and GPT-6.1 Sol Pro with strict JSON Schema tool calling?
Both models can be evaluated locally in DevToken: Grok 4.7 (tools: Supported, strict JSON Schema: Supported) vs GPT-6.1 Sol Pro (tools: Supported, strict JSON Schema: Supported). Always verify rate-limit headroom in the 429 Calculator before cutover.