OpenAI: GPT-5.6 Sol (batch) vs SpaceXAI: Grok 4.5
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| OpenAI: GPT-5.6 Sol (batch) | SpaceXAI: Grok 4.5 | |
|---|---|---|
| Vendor | openai | x-ai |
| Quality Score | 100 | 100 |
| Benchmark Score | 99.3 | 91.2 |
| Input Price | $2.00/M | $2.00/M |
| Output Price | $10.00/M | $6.00/M |
| Context Window | 1,050,000 | 500,000 |
| Max Output | 128,000 | 450,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 97.2 | 88.8 |
| ai_index_agentic | 89.1 | 75.4 |
| ai_index_coding | 100.0 | 100.0 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Grok 4.5 costs $3.50 and GPT-5.6 Sol (batch) costs $4.50, so Grok 4.5 is about 1.3 times cheaper for the same work.
GPT-5.6 Sol (batch) reads up to 1,050,000 tokens at once, roughly 1,575 pages of text, against about 750 pages for Grok 4.5.
On our blended benchmark score GPT-5.6 Sol (batch) leads 99.3 to 91.2.
Across the 19 tasks where they differ, GPT-5.6 Sol (batch) scores higher on 16 (SQL Generation, Code Review, Code Refactoring and others), Grok 4.5 on 3 (Code Completion, JSON Extraction, Bulk Data Labeling).
Pick GPT-5.6 Sol (batch) if you need long documents, benchmark performance or the stronger all-round task scores; pick Grok 4.5 if you need lower cost.
Costs use current list prices per million tokens; page counts assume about 0.75 words per token and 500 words per page.
Who wins by task?
| Task | OpenAI: GPT-5.6 Sol (batch) | SpaceXAI: Grok 4.5 |
|---|---|---|
| SQL Generation | 173 | 171 |
| Code Review | 170 | 167 |
| Code Completion | 119 | 120 |
| Code Refactoring | 166 | 164 |
| Bug Fixing | 185 | 180 |
| Unit Test Generation | 156 | 154 |
| Code Documentation | 143 | 142 |
| Regex Writing | 136 | 135 |
| CI/CD Pipelines | 146 | 144 |
| Frontend Component Design | 148 | 146 |
| Data Analysis | 175 | 170 |
| CSV / Spreadsheet Cleanup | 154 | 154 |
| ETL Scripting | 156 | 154 |
| JSON Extraction | 139 | 139 |
| Bulk Data Labeling | 124 | 125 |
| OCR / Document Parsing | 147 | 146 |
| Table Extraction from PDFs | 147 | 146 |
| Long-Document Summarization | 161 | 159 |
| Blog Post Writing | 141 | 140 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →