GPT-5.2 vs Grok 4.7
GPT-5.2 
Grok 4.7 Verdict
- Grok 4.7 (high) leads on quality: 65.8 vs 61.9.
- GPT-5.2 (xhigh) is stronger in agents & tools, coding, instruction following, long context, maths.
- Grok 4.7 (high) is stronger in composite, knowledge, reasoning.
- Grok 4.7 (high) is 1.6× cheaper ($3.00 vs $4.81 per 1M blended).
- GPT-5.2 (xhigh) streams 1.7× faster (93 vs 55 tokens per second).
| Metric | GPT-5.2 (xhigh) | Grok 4.7 (high) |
|---|---|---|
| BenchLeader Index | 61.9 | 65.8 |
| Agents & tools score | 56.4 | – |
| Coding score | 63.2 | – |
| Composite score | 67.4 | 87.5 |
| Instruction following score | 73.4 | – |
| Knowledge score | 57.8 | 72.6 |
| Long context score | 67.8 | 64.8 |
| Maths score | 58.3 | – |
| Reasoning score | 62.7 | 76.4 |
| Blended price $/M | $4.81 | $3.00 |
| Output speed | 93 tok/s | 55 tok/s |
| Time to first answer | 193.4 s | 1.4 s |
| Context window | 400k | 500k |
| GPQA Diamond | 91.4% | – |
| FrontierMath Tiers 1–3 | 67.4% | – |
| FrontierMath Tier 4 | 31.7% | – |
| OTIS Mock AIME | 96.1% | – |
| SimpleQA Verified | 37.1% | – |
| WeirdML | 72.2% | – |
| APEX-Agents | 34.4% | – |
| ProofBench | 15.0% | – |
| AA Intelligence Index | 30.4 | 46.3 |
| IFBench | 75.4% | – |
| AA-LCR | 82.7% | 77.0% |
| AA-Omniscience | -0.9 | 30.9 |
| Terminal-Bench Hard | 47.0% | – |
| GPQA Diamond (AA) | 90.3% | – |
| Humanity's Last Exam (AA) | 37.7% | 42.3% |
| SciCode (AA) | – | 57.8% |
| τ²-Bench Telecom (AA) | 84.8% | – |
| AIME (Vals) | 96.9% | – |
| LiveCodeBench | 85.4% | – |
| MMLU-Pro | 86.2% | – |
| LegalBench | 82.8% | 85.1% |
| CorpFin | 65.9% | – |
| TaxEval | 75.8% | – |
| MedQA | 94.1% | – |
| MGSM | 94.0% | – |
| SWE-bench (Vals) | 75.8% | – |
| GPQA Diamond (Vals) | 91.7% | – |
| MCP Atlas | 67.6% | – |
| ARC-AGI-1 | 86.2% | – |
| ARC-AGI-2 | 52.9% | – |
| CritPt | 11.6% | 18.0% |
| GDPval (AA) | – | 59.7% |
| CaseLaw v2 | 66.0% | – |
| Code Migration | – | 34.7% |
| Excel Modeling Benchmark | – | 54.9% |
| Harvey's Legal Agent Benchmark | – | 19.6% |
| Legal Research Bench | – | 39.9% |
| MedCode | 49.8% | 48.7% |
| MedScribe | 84.4% | 87.2% |
| MMMU-Pro (Vals) | 86.7% | – |
| MortgageTax | 67.1% | – |
| ProgramBench | – | 0.0% |
| Public Benefits Bench | – | 68.5% |
| SAGE | 49.3% | 31.0% |
| Vibe Code Bench v1.1 | 53.5% | – |
| DrugDiscoveryBench | 29.3% | – |
| Chess Puzzles | 49.0% | – |
| EBR-bench | 23.0% | – |
| VPCT | 84.0% | – |
| LMCA | 43.9% | – |
| DTBench | 90.9% | – |
Data as of 2026-09-21. Best configuration of each model; every score links to its source on the model pages.
GPT-5.2 vs Grok 4.7: questions
- Is GPT-5.2 better than Grok 4.7?
- Grok 4.7 (high) leads on quality: 65.8 vs 61.9. The BenchLeader Index combines every independent quality benchmark; Grok 4.7 (high) is ahead overall as of 2026-09-21, but check the category scores for your use.
- Which is cheaper, GPT-5.2 or Grok 4.7?
- Grok 4.7 is cheaper: $3.00 against $4.81 per million tokens, blended at three input tokens per output token.
- Which is faster, GPT-5.2 or Grok 4.7?
- GPT-5.2 streams faster: 93 against 55 output tokens per second.
- Which has the larger context window?
- Grok 4.7 accepts more context: 500k against 400k tokens.